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1. Machine Learning and Social Robotics for Detecting Early Signs of Dementia

Author: Jonell, Patrik, Mendelson, Joseph, Storskog, Thomas, Hagman, Goran, Ostberg, Per, Leite, Iolanda, Kucherenko, Taras, Mikheeva, Olga, Akenine, Ulrika, Jelic, Vesna, Solomon, Alina, Beskow, Jonas, Gustafson, Joakim, Kivipelto, Miia, and Kjellstrom, Hedvig
Subjects: Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence, Computer Science - Computers and Society
Abstract: This paper presents the EACare project, an ambitious multi-disciplinary collaboration with the aim to develop an embodied system, capable of carrying out neuropsychological tests to detect early signs of dementia, e.g., due to Alzheimer's disease. The system will use methods from Machine Learning and Social Robotics, and be trained with examples of recorded clinician-patient interactions. The interaction will be developed using a participatory design approach. We describe the scope and method of the project, and report on a first Wizard of Oz prototype.
Published: 2017

2. Non-Standard Errors

Author: Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Lu, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, Van Dijk, Matthijs A., Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Lu, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, and Van Dijk, Matthijs A.
Abstract: In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
Published: 2024

3. Nonstandard Errors

Author: Universidad de Alicante. Departamento de Economía Financiera y Contabilidad, Menkveld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Juergen, Johannesson, Magnus, Kirchler, Michael, Neusüß, Sebastian, Razen, Michael, Weitzel, Utz, Abad, David, Abudy, Menachem (Meni), Adrian, Tobias, Ait-Sahalia, Yacine, Akmansoy, Olivier, Alcock, Jamie T., Alexeev, Vitali, Aloosh, Arash, Amato, Livia, Amaya, Diego, Angel, James J., Avetikian, Alejandro T., Bach, Amadeus, Baidoo, Edwin, Bakalli, Gaetan, Bao, Li, Barbon, Andrea, Bashchenko, Oksana, Bindra, Parampreet C., Bjønnes, Geir H., Black, Jeffrey R., Black, Bernard S., Bogoev, Dimitar, Bohorquez Correa, Santiago, Bondarenko, Oleg, Bos, Charles S., Bosch-Rosa, Ciril, Bouri, Elie, Brownlees, Christian, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera Romero, Laura M., Caporin, Massimiliano, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chen, Jian, Chernov, Mikhail, Cheung, William, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung-Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca F., Declerck, Fany, Deev, Oleg, Degryse, Hans, Deku, Solomon Y., Desagre, Christophe, Van Dijk, Mathijs A., Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip A., Dudda, Tom, Duevski, Teodor, Dumitrescu, Ariadna, Dyakov, Teodor, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, Ellen, Saskia Ter, Eugster, Nicolas, Evans, Martin D. D., Farrell, Michael, Felez-Vinas, Ester, Ferrara, Gerardo, Ferrouhi, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan T., Foley, Sean D. V., Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco, Frijns, Bart, Frömmel, Michael, Fu, Servanna M., Füllbrunn, Sascha C., Gan, Baoqing, Gao, Ge, Gehrig, Thomas P., Gemayel, Roland, Gerritsen, Dirk, Gil-Bazo, Javier, Gilder, Dudley, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Grammig, Joachim, Grégoire, Vincent, Güçbilmez, Ufuk, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, He, Xue-Zhong (Tony), Heath, Davidson, Hediger, Simon, Hendershott, Terrence, Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth A., Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ilczuk, Konrad, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylhä, Petri, Kaeck, Andreas T., Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, Van Kervel, Vincent, Khan, Saad A., Khomyn, Marta K., Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Krahnen, Jan P., Kuhle, Paul, Kwan, Amy, Lajaunie, Quentin, Lam, F. Y. Eric C., Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, Hui, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver, Liu, Jiacheng, Liu, Anqi, Llorente, Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis, Lopez-Lira, Alejandro, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah, Mi, Michael G., Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Norden, Lars L., O'neill, Peter, Obaid, Khaled, Ødegaard, Bernt A., Östberg, Per, Pagnotta, Emiliano, Painter, Marcus, Palan, Stefan, Palit, Imon J., Park, Andreas, Pascual, Roberto, Pasquariello, Paolo, Pastor, Lubos, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelli, Michele, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Press, Oliver-Alexander, Prodromou, Tina, Prokopczuk, Marcel, Putnins, Talis, Qian, Ya, Raizada, Gaurav, Rakowski, David, Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Renjie, Rex W., Reno, Roberto, Riddiough, Steven J., Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Roesch, Dominik, Rognone, Lavinia, Roseman, Brian, Roşu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen R., Rzayev, Khaladdin, Rzeźnik, Aleksandra A., Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus R., Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Seeger, Norman J., Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Sönksen, Jantje, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nick, Tham, Wing Wah, Theissen, Erik, Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Vaduva, M. Andreea, Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, Van Der Wel, Michel, Werner, Ingrid M., Westerholm, P. Joakim, Westheide, Christian, Wika, Hans C., Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Wu, Zhen-Xing, Xia, Shuo, Xiu, Dacheng, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Yihe, Yu, Shihao, Yueshen, Bart Z., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan M., Zhang, Lu, Zhang, S. Sarah, Zhang, Xiaoyu, Zhao, Lu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu S., Zoican, Marius, Zwinkels, Remco, Universidad de Alicante. Departamento de Economía Financiera y Contabilidad, Menkveld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Juergen, Johannesson, Magnus, Kirchler, Michael, Neusüß, Sebastian, Razen, Michael, Weitzel, Utz, Abad, David, Abudy, Menachem (Meni), Adrian, Tobias, Ait-Sahalia, Yacine, Akmansoy, Olivier, Alcock, Jamie T., Alexeev, Vitali, Aloosh, Arash, Amato, Livia, Amaya, Diego, Angel, James J., Avetikian, Alejandro T., Bach, Amadeus, Baidoo, Edwin, Bakalli, Gaetan, Bao, Li, Barbon, Andrea, Bashchenko, Oksana, Bindra, Parampreet C., Bjønnes, Geir H., Black, Jeffrey R., Black, Bernard S., Bogoev, Dimitar, Bohorquez Correa, Santiago, Bondarenko, Oleg, Bos, Charles S., Bosch-Rosa, Ciril, Bouri, Elie, Brownlees, Christian, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera Romero, Laura M., Caporin, Massimiliano, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chen, Jian, Chernov, Mikhail, Cheung, William, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung-Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca F., Declerck, Fany, Deev, Oleg, Degryse, Hans, Deku, Solomon Y., Desagre, Christophe, Van Dijk, Mathijs A., Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip A., Dudda, Tom, Duevski, Teodor, Dumitrescu, Ariadna, Dyakov, Teodor, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, Ellen, Saskia Ter, Eugster, Nicolas, Evans, Martin D. D., Farrell, Michael, Felez-Vinas, Ester, Ferrara, Gerardo, Ferrouhi, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan T., Foley, Sean D. V., Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco, Frijns, Bart, Frömmel, Michael, Fu, Servanna M., Füllbrunn, Sascha C., Gan, Baoqing, Gao, Ge, Gehrig, Thomas P., Gemayel, Roland, Gerritsen, Dirk, Gil-Bazo, Javier, Gilder, Dudley, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Grammig, Joachim, Grégoire, Vincent, Güçbilmez, Ufuk, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, He, Xue-Zhong (Tony), Heath, Davidson, Hediger, Simon, Hendershott, Terrence, Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth A., Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ilczuk, Konrad, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylhä, Petri, Kaeck, Andreas T., Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, Van Kervel, Vincent, Khan, Saad A., Khomyn, Marta K., Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Krahnen, Jan P., Kuhle, Paul, Kwan, Amy, Lajaunie, Quentin, Lam, F. Y. Eric C., Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, Hui, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver, Liu, Jiacheng, Liu, Anqi, Llorente, Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis, Lopez-Lira, Alejandro, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah, Mi, Michael G., Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Norden, Lars L., O'neill, Peter, Obaid, Khaled, Ødegaard, Bernt A., Östberg, Per, Pagnotta, Emiliano, Painter, Marcus, Palan, Stefan, Palit, Imon J., Park, Andreas, Pascual, Roberto, Pasquariello, Paolo, Pastor, Lubos, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelli, Michele, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Press, Oliver-Alexander, Prodromou, Tina, Prokopczuk, Marcel, Putnins, Talis, Qian, Ya, Raizada, Gaurav, Rakowski, David, Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Renjie, Rex W., Reno, Roberto, Riddiough, Steven J., Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Roesch, Dominik, Rognone, Lavinia, Roseman, Brian, Roşu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen R., Rzayev, Khaladdin, Rzeźnik, Aleksandra A., Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus R., Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Seeger, Norman J., Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Sönksen, Jantje, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nick, Tham, Wing Wah, Theissen, Erik, Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Vaduva, M. Andreea, Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, Van Der Wel, Michel, Werner, Ingrid M., Westerholm, P. Joakim, Westheide, Christian, Wika, Hans C., Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Wu, Zhen-Xing, Xia, Shuo, Xiu, Dacheng, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Yihe, Yu, Shihao, Yueshen, Bart Z., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan M., Zhang, Lu, Zhang, S. Sarah, Zhang, Xiaoyu, Zhao, Lu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu S., Zoican, Marius, and Zwinkels, Remco
Abstract: In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
Published: 2024

4. Modeling the green cloud continuum : integrating energy considerations into cloud-edge models

Author: Patel, Yashwant Singh, Townend, Paul, Singh, Anil, Östberg, Per-Olov, Patel, Yashwant Singh, Townend, Paul, Singh, Anil, and Östberg, Per-Olov
Abstract: The energy consumption of Cloud–Edge systems is becoming a critical concern economically, environmentally, and societally; some studies suggest data centers and networks will collectively consume 18% of global electrical power by 2030. New methods are needed to mitigate this consumption, e.g. energy-aware workload scheduling, improved usage of renewable energy sources, etc. These schemes need to understand the interaction between energy considerations and Cloud–Edge components. Model-based approaches are an effective way to do this; however, current theoretical Cloud–Edge models are limited, and few consider energy factors. This paper analyses all relevant models proposed between 2016 and 2023, discovers key omissions, and identifies the major energy considerations that need to be addressed for Green Cloud–Edge systems (including interaction with energy providers). We investigate how these can be integrated into existing and aggregated models, and conclude with the high-level architecture of our proposed solution to integrate energy and Cloud–Edge models together.
Published: 2024
Full Text: View/download PDF

5. Non-Standard Errors

Author: Leerstoel Stigchel, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Finance, UU LEG Research UUSE Multidisciplinary Economics, Sub General Pharmaceutics, Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Lu, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, Van Dijk, Matthijs A., Leerstoel Stigchel, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Finance, UU LEG Research UUSE Multidisciplinary Economics, Sub General Pharmaceutics, Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Lu, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, and Van Dijk, Matthijs A.
Published: 2024

6. Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study

Author: Rodrigo, Gonzalo P, Östberg, Per-Olov, Elmroth, Erik, Antypas, Katie, Gerber, Richard, and Ramakrishnan, Lavanya
Subjects: Distributed Computing and Systems Software, Information and Computing Sciences, Built Environment and Design
Published: 2016

7. A prospective study for evaluation of structural and clinical validity of the Eating Assessment Tool

Author: Möller, Riitta, Safa, Stephanie, and Östberg, Per
Published: 2020
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8. Eye movements are stable predictors of word reading ability in young readers

Author: Strandberg, Andrea, primary, Nilsson, Mattias, additional, Östberg, Per, additional, and Seimyr, Gustaf Öqvist, additional
Published: 2023
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9. Formal models for the energy-aware cloud-edge computing continuum : analysis and challenges

Author: Patel, Yashwant Singh, Townend, Paul, Östberg, Per-Olov, Patel, Yashwant Singh, Townend, Paul, and Östberg, Per-Olov
Abstract: Cloud infrastructures are rapidly evolving from centralised systems to geographically distributed federations of edge devices, fog nodes, and clouds. These federations (often referred to as the Cloud-Edge Continuum) are the foundation upon which most modern digital systems depend, and consume enormous amounts of energy. This consumption is becoming a critical issue as society's energy challenges grow, and is a great concern for power grids which must balance the needs of clouds against other users. The Continuum is highly dynamic, mobile, and complex; new methods to improve energy efficiency must be based on formal scientific models that identify and take into account a huge range of heterogeneous components, interactions, stochastic properties, and (potentially contradictory) service-level agreements and stakeholder objectives. Currently, few formal models of federated Cloud-Edge systems exist - and none adequately represent and integrate energy considerations (e.g. multiple providers, renewable energy sources, pricing, and the need to balance consumption over large-areas with other non-Cloud consumers, etc.). This paper conducts a systematic analysis of current approaches to modelling Cloud, Cloud-Edge, and federated Continuum systems with an emphasis on the integration of energy considerations. We identify key omissions in the literature, and propose an initial high-level architecture and approach to begin addressing these - with the ultimate goal to develop a set of integrated models that include data centres, edge devices, fog nodes, energy providers, software workloads, end users, and stakeholder requirements and objectives. We conclude by highlighting the key research challenges that must be addressed to enable meaningful energy-aware Cloud-Edge Continuum modelling and simulation.
Published: 2023
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10. COGNIT: challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum

Author: Townend, Paul, Martí, Alberto P., De La Iglesia, Idoia, Matskanis, Nikolaos, Ohlson Timoudas, Thomas, Hallmann, Torsten, Lalaguna, Antonio, Swat, Kaja, Renzi, Francesco, Bocheński, Dominik, Mancini, Marco, Bhuyan, Monowar H., González-Hierro, Marco, Dupont, Sébastien, Kristiansson, Johan, Montero, Rubén S., Elmroth, Erik, Valdés, Iván, Massonet, Philippe, Olsson, Daniel, Llorente, Ignacio M., Östberg, Per-Olov, Abdou, Michael, Townend, Paul, Martí, Alberto P., De La Iglesia, Idoia, Matskanis, Nikolaos, Ohlson Timoudas, Thomas, Hallmann, Torsten, Lalaguna, Antonio, Swat, Kaja, Renzi, Francesco, Bocheński, Dominik, Mancini, Marco, Bhuyan, Monowar H., González-Hierro, Marco, Dupont, Sébastien, Kristiansson, Johan, Montero, Rubén S., Elmroth, Erik, Valdés, Iván, Massonet, Philippe, Olsson, Daniel, Llorente, Ignacio M., Östberg, Per-Olov, and Abdou, Michael
Abstract: Use of the serverless paradigm in cloud application development is growing rapidly, primarily driven by its promise to free developers from the responsibility of provisioning, operating, and scaling the underlying infrastructure. However, modern cloud-edge infrastructures are characterized by large numbers of disparate providers, constrained resource devices, platform heterogeneity, infrastructural dynamicity, and the need to orchestrate geographically distributed nodes and devices over public networks. This presents significant management complexity that must be addressed if serverless technologies are to be used in production systems. This position paper introduces COGNIT, a major new European initiative aiming to integrate AI technology into cloud-edge management systems to create a Cognitive Cloud reference framework and associated tools for serverless computing at the edge. COGNIT aims to: 1) support an innovative new serverless paradigm for edge application management and enhanced digital sovereignty for users and developers; 2) enable on-demand deployment of large-scale, highly distributed and self-adaptive serverless environments using existing cloud resources; 3) optimize data placement according to changes in energy efficiency heuristics and application demands and behavior; 4) enable secure and trusted execution of serverless runtimes. We identify and discuss seven research challenges related to the integration of serverless technologies with multi-provider Edge infrastructures and present our vision for how these challenges can be solved. We introduce a high-level view of our reference architecture for serverless cloud-edge continuum systems, and detail four motivating real-world use cases that will be used for validation, drawing from domains within Smart Cities, Agriculture and Environment, Energy, and Cybersecurity.
Published: 2023
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11. Difference-in-differences with Economic Factors and the Case of Housing Returns

Author: Huang, Jiyuan; https://orcid.org/0000-0002-5456-1482, Östberg, Per; https://orcid.org/0000-0001-9100-8080, Huang, Jiyuan; https://orcid.org/0000-0002-5456-1482, and Östberg, Per; https://orcid.org/0000-0001-9100-8080
Abstract: This paper studies how to incorporate observable factors in difference-in-differences and document their empirical relevance. We show that even under random assignment directly adding factors with unit-specific loadings into the difference-in-differences estimation results in biased estimates. This bias, which we term the “bad time control problem” arises when the treatment effect covaries with the factor variation. Researchers often control for factor structures by using: (i) unit time trends, (ii) pre-treatment covariates interacted with a time trend and (iii) group-time dummies. We show that all these methods suffer from the bad time control problem and/or omitted factor bias. We propose two solutions to the bad time control problem. To evaluate the relevance of the factor structure we study US housing returns. Adding macroeconomic factors shows that factors have additional explanatory power and estimated factor loadings differ systematically across geographic areas. This results in substantially altered treatment effects.
Published: 2023

12. Non-Standard Errors

Author: Menkfeld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Juergen, Johannesson, Magnus, Kirchler, Michael, Neusüss, Sebastian, Razen, Michael, Weitzel, Utz, Abad-Díaz, David, Abudy, Menachem, Adrian, Tobias, Ait-Sahalia, Yacine, Akmansoy, Olivier, Alcock, Jamie T., Alexeev, Vitali, Aloosh, Arash, Amato, Livia, Amaya, Diego, Angel, James J., Avetikian, Alejandro T., Bach, Amadeus, Baidoo, Edwin, Bakalli, Gaetan, Bao, Li, Barbon, Andrea, Bashchenko, Oksana, Bindra, Parampreet C., Bjønnes, Geir H., Black, Jeffrey R., Black, Bernard S., Bogoev, Dimitar, Bohorquez Correa, Santiago, Bondarenko, Oleg, Bos, Charles S., Bosch-Rosa, Ciril, Bouri, Elie, Brownlees, Christian, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera Romero, Laura M., Caporin, Massimiliano, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chen, Jian, Chernov, Mikhail, Cheung, William, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung-Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca F., Declerck, Fany, Deev, Oleg, Degryse, Hans, Deku, Solomon Y., Desagre, Christophe, van Dijk, Mathijs A., Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip A., Dudda, Tom, Duevski, Teodor, Dumitrescu, Ariadna, Dyakov, Teodor, Dyhrberg, Anne Haubo, Dzielinski, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D. D., Farrell, Michael, Felez-Vinas, Ester, Ferrara, Gerardo, Ferrouhi, El Mehdi, Flori, Andrea, Fluharty, Jonathan T., Foley, Sean D. V., Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco, Frijns, Bart, Frömmel, Michael, Fu, Servanna M., Füllbrunn, Sascha C., Gan, Baoqing, Gao, Ge, Gehrig, Thomas P., Gemayel, Roland, Gerritsen, Dirk, Gil-Bazo, Javier, Gilder, Dudley, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Grammig, Joachim, Grégoire, Vincent, Güçbilmez, Ufuk, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, He, Xue-Zhong (Tony), Heath, Davidson, Hediger, Simon, Hendershott, Terrence, Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ilczuk, Konrad, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji P., Jones, Charles M., Jurkatis, Simon, Jylhä, Petri, Kaeck, Andreas T., Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, Kervel, Vincent van, Khan, Saad A., Khomyn, Marta K., Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Krahnen, Jan P., Kuhle, Paul, Kwan, Amy, Lajaunie, Quentin, Lam, F. Y. Eric C., Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, Hui, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver, Liu, Jiacheng, Liu, Anqi, Llorente, Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis, Lopez-Lira, Alejandro, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah, Mi, Michael G., Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Norden, Lars L., O'Neill, Peter W., Obaid, Khaled, Ødegaard, Bernt A., Östberg, Per, Pagnotta, Emiliano, Painter, Marcus, Palan, Stefan, Palit, Imon J., Park, Andreas, Pascual, Roberto, Pasquariello, Paolo, Pastor, Lubos, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelli, Michele, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Press, Oliver-Alexander, Prodromou, Tina, Prokopczuk, Marcel, Putnins, Talis, Qian, Ya, Raizada, Gaurav, Rakowski, David, Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Renjie, Rex W., Reno, Roberto, Riddiough, Steven J., Rinne, Kalle, Rintamäki, Paul J., Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Roesch, Dominik, Rognone, Lavinia, Roseman, Brian, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen R., Rzayev, Khaladdin, Rzeznik, Aleksandra A., Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus R., Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Seeger, Norman J., Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Sönksen, Jantje, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nick, Tham, Wing Wah, Theissen, Erik, Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Vaduva, M. Andreea, Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Westerholm, Joakim, Westheide, Christian, Wika, Hans C., Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wink-Keung, Wrampelmeyer, Jan, Wu, Zhen-Xing, Xia, Shuo, Xiu, Dacheng, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Yihe, Yu, Shihao, Yueshen, Bart Z., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan M., Zhang, Lu, Zhang, S. Sarah, Zhang, Xiaoyu, Zhao, Lu, Zhong, Zhuo, Zhou, Zeyang (Ivy), Zhou, Chen, Zhu, Xingyu S., Zoican, Marius, Zwinkels, Remco, Finance, and Tinbergen Institute
Subjects: jel:G14, jel:G1, ddc:330, jel:C12
Abstract: In statistics, samples are drawn from a population in a data- generating process (DGP). Standard errors measure the uncer- tainty in sample estimates of population parameters. In sci- ence, evidence is generated to test hypotheses in an evidence- generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sam- ple. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
Published: 2023
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13. Longitudinal changes in functional connectivity in speech motor networks in apraxia of speech after stroke

Author: Hybbinette, Helena, Östberg, Per, Schalling, Ellika, Deboussard, Catharina, Plantin, Jeanette, Borg, Jörgen, and Lindberg, Påvel G.
Subjects: recovery, Neurologi, Neurology, functional connectivity, apraxia of speech, Neurology (clinical), stroke, resting-state fMRI
Abstract: ObjectiveThe cerebral substrates of apraxia of speech (AOS) recovery remain unclear. Resting state fMRI post stroke can inform on altered functional connectivity (FC) within cortical language networks. Some initial studies report reduced FC between bilateral premotor cortices in patients with AOS, with lowest FC in patients with the most severe AOS. However, longitudinal FC studies in stroke are lacking. The aims of the present longitudinal study in early post stroke patients with AOS were (i) to compare connectivity strength in AOS patients to that in left hemisphere (LH) lesioned stroke patients without a speech-language impairment, (ii) to investigate the relation between FC and severity of AOS, aphasia and non-verbal oral apraxia (NVOA) and (iii) to investigate longitudinal changes in FC, from the subacute phase to the chronic phase to identify predictors of AOS recovery. MethodsFunctional connectivity measures and comprehensive speech-language assessments were obtained at 4 weeks and 6 months after stroke in nine patients with AOS after a LH stroke and in six LH lesioned stroke patients without speech-language impairment. Functional connectivity was investigated in a network for speech production: inferior frontal gyrus (IFG), anterior insula (aINS), and ventral premotor cortex (vPMC), all bilaterally to investigate signs of adaptive or maladaptive changes in both hemispheres. ResultsInterhemispheric vPMC connectivity was significantly reduced in patients with AOS compared to LH lesioned patients without speech-language impairment. At 6 months, the AOS severity was associated with interhemispheric aINS and vPMC connectivity. Longitudinal changes in FC were found in individuals, whereas no significant longitudinal change in FC was found at the group level. Degree of longitudinal AOS recovery was strongly associated with interhemispheric IFG connectivity strength at 4 weeks. ConclusionEarly interhemispheric IFG connectivity may be a strong predictor of AOS recovery. The results support the importance of interhemispheric vPMC connection in speech motor planning and severity of AOS and suggest that also bilateral aINS connectivity may have an impact on AOS severity. These findings need to be validated in larger cohorts.
Published: 2022
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14. Eye movements during reading and their relationship to reading assessment outcomes in Swedish elementary school children

Author: Strandberg, Andrea, Nilsson, Mattias, Östberg, Per, and Öqvist Seimyr, Gustaf
Subjects: eye movements, reading, assessment, reading development, eye tracking, individual differences
Abstract: The characteristics of children’s eye movements during reading change as they gradually become better readers. However, few eye tracking studies have investigated children’s reading and reading development and little is known about the relationship between reading-related eye movement measures and reading assessment outcomes. We recorded and analyzed three basic eye movement measures in an ecologically valid eye-tracking set-up. The participants were Swedish children (n = 2876) who were recorded in their normal school environment. The relationship between eye movements and reading assessment outcomes was analyzed in using linear mixed effects models. We found similar age-related changes in eye movement characteristics as established in previous studies, and that eye movements seem to correlate with reading outcome measures. Additionally, our results show that eye movements predict the results on several tests from a word reading assess- ment. Hence eye tracking may potentially be a useful tool in assessing reading development.
Published: 2022

15. The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges

Author: Tärneberg, William, Fitzgerald, Emma, Bhuyan, Monowar, Townend, Paul, Årzén, Karl-Erik, Östberg, Per-Olov, Elmroth, Erik, Eker, Johan, Tufvesson, Fredrik, and Kihl, Maria
Subjects: Communication Systems
Abstract: 6G systems, such as Large Intelligent Surfaces, will require distributed, complex, and coordinated decisions throughout a very heterogeneous and cell free infrastructure. This will require a fundamentally redesigned software infrastructure accompanied by massively distributed and heterogeneous computing resources, vastly different from current wireless networks.To address these challenges, in this paper, we propose and motivate the concept of a 6G Computing Continuum (6GCC) and two research testbeds, to advance the rate and quality of research. 6G Computing Continuum is an end-to-end computeand software platform for realizing large intelligent surfaces and its tenant users and applications. One for addressing the challenges or orchestrating shared computational resources in the wireless domain, implemented on a Large Intelligent Surfaces testbed. Another simulation-based testbed is intended to address scalability and global-scale orchestration challenges.
Published: 2022

16. Self-reported changes in everyday life and health of significant others of people with aphasia : a quantitative approach

Author: Blom Johansson, Monica, Carlsson, Marianne, Östberg, Per, Sonnander, Karin, Blom Johansson, Monica, Carlsson, Marianne, Östberg, Per, and Sonnander, Karin
Abstract: Background: Changes in the everyday life and health of the significant others (SOs) of people living with stroke sequalae have been widely investigated. However, information regarding the frequency of the changes in daily life and the variables most associated with these perceived life changes is limited. Aims: To examine the extent to which SOs of persons with aphasia (PWAs) experience changes in everyday life and health after the stroke event and how they evaluate these changes and to identify which variables are associated with these perceived life changes. Methods & Procedures: A study-specific questionnaire about perceived changes in everyday life and health was completed by 173 SOs of PWAs living in Sweden (response rate 67.8%). The items concerned the SO’s working and financial situation, leisure time and social life, relationship with the PWA, household work and responsibility, and health and quality of life. Outcomes & Results: The everyday life and health of the SOs were greatly affected by the stroke event. The changes the SOs experienced were mainly appraised negatively. The relationships with the PWA and immediate family were least affected by the stroke. The perceived existence and severity of physical, cognitive, and language impairments of the PWA were the variables most strongly associated with the everyday life situation of the participants. The sex and age of the participants and the nature of the relationship with the PWA were only marginally associated with the experience of the situation. Conclusions: SOs’ perceptions of the PWA’s stroke-related disabilities and need for assistance may be a key factor in identifying SOs who may require support and guidance to help them cope with their new life situation.
Published: 2022
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17. The ASSISTANT project: AI for high level decisions in manufacturing

Author: Castañé, G., Dolgui, A., Kousi, N., Meyers, B., Thevenin, S., Vyhmeister, E., Östberg, Per-Olov, Castañé, G., Dolgui, A., Kousi, N., Meyers, B., Thevenin, S., Vyhmeister, E., and Östberg, Per-Olov
Abstract: This paper outlines the main idea and approach of the H2020 ASSISTANT (LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments) project. ASSISTANT is aimed at the investigation of AI-based tools for adaptive manufacturing environments, and focuses on the development of a set of digital twins for integration with, management of, and decision support for production planning and control. The ASSISTANT tools are based on the approach of extending generative design, an established methodology for product design, to a broader set of manufacturing decision making processes; and to make use of machine learning, optimisation, and simulation techniques to produce executable models capable of ethical reasoning and data-driven decision making for manufacturing systems. Combining human control and accountable AI, the ASSISTANT toolsets span a wide range of manufacturing processes and time scales, including process planning, production planning, scheduling, and real-time control. They are designed to be adaptable and applicable in a both general and specific manufacturing environments.
Published: 2022
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18. Domain Models and Data Modeling as Drivers for Data Management : The ASSISTANT Data Fabric Approach

Author: Östberg, Per-Olov, Vyhmeister, Eduardo, Castañé, Gabriel G., Meyers, Bart, Van Noten, Johan, Östberg, Per-Olov, Vyhmeister, Eduardo, Castañé, Gabriel G., Meyers, Bart, and Van Noten, Johan
Abstract: To develop AI-based models capable of governing or providing decision support to complex manufacturing environments, abstractions and mechanisms for unified management of data storage and processing capabilities are needed. Specifically, as such models tend to include and rely on detailed representations of systems, components, and tools with complex interactions, mechanisms for simplifying, integrating, and scaling management capabilities in the presence of complex data requirements (e.g., high volume, velocity, and diversity of data) are of particular interest. A data fabric is a system that provides a unified architecture for management and provisioning of data. In this work we present the background, design requirements, and high-level outline of the ASSISTANT data fabric - a flexible data management tool designed for use in adaptive manufacturing contexts. The paper outlines the implementation of the system with specific focus on the use of domain models and the data modeling approach used, as well as provides a generic use case structure reusable in many industrial contexts.
Published: 2022
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19. Lessons learn on responsible AI implementation : the ASSISTANT use case

Author: Vyhmeister, Eduardo, Castane, Gabriel G., Buchholz, Johan, Östberg, Per-Olov, Vyhmeister, Eduardo, Castane, Gabriel G., Buchholz, Johan, and Östberg, Per-Olov
Abstract: Currently, pioneer companies are working hard to construct applied ethical frameworks in different sectors for using AI components that generate trust in their clients and workforce. However, independent of these few companies, there is still a considerable gap between understanding the impact of using responsible AI components, the implications of the lack of use, and what is currently applied in the industrial sector. Given that industry has shown an increased commitment to incorporating AI components, works focus on broadening the understanding of manufacturing sector stakeholders of what approaches could be considered within AI life-cycle, reducing the gap between principles and actionable requirements, and defining fundamental considerations based on risk management for incorporating, and managing, AI-based on responsible AI are required. In this work, we present a summary of the most suitable approaches that can be used for implementation and the lessons learned from a European Funded project (ASSISTANT).
Published: 2022
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20. The Sovereign Debt Crisis: Flights or Freezes?

Author: Östberg, Per; https://orcid.org/0000-0001-9100-8080, Richter, Thomas, Östberg, Per; https://orcid.org/0000-0001-9100-8080, and Richter, Thomas
Abstract: Multiple asset pricing theories predict that large price changes should be associated with abnormal trading volume, inducing investor rebalancing and possibly leading to flights. In contrast, consistent with market microstructure theories, this paper documents freezes, a reduction in trading volume (approximately 30% relative to the previous trading week) during market stress episodes in the European sovereign bond market. We trace the market freezes to increasing transaction costs driven by reduced risk bearing capacity of market makers.
Published: 2022

21. The Sovereign Debt Crisis: Flights or Freezes?

Author: Östberg, Per, Richter, Thomas, and University of Zurich
Subjects: Flights, Liquidity, Rebalancing, Trading volume, 10003 Department of Banking and Finance, 330 Economics, Sovereign Debt Crisis
Published: 2022
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22. Lessons learn on responsible AI implementation: the ASSISTANT use case

Author: Vyhmeister, Eduardo, primary, Castane, Gabriel G., additional, Buchholz, Johan, additional, and Östberg, Per-Olov, additional
Published: 2022
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23. Domain Models and Data Modeling as Drivers for Data Management: The ASSISTANT Data Fabric Approach

Author: Östberg, Per-Olov, primary, Vyhmeister, Eduardo, additional, Castañé, Gabriel G., additional, Meyers, Bart, additional, and Van Noten, Johan, additional
Published: 2022
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24. Intra- and Interjudge Reliability of the Apraxia of Speech Rating Scale in Early Stroke Patients

Author: Hybbinette, Helena, Östberg, Per, Schalling, Ellika, Hybbinette, Helena, Östberg, Per, and Schalling, Ellika
Published: 2021
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25. Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke

Author: Hybbinette, Helena, Schalling, Ellika, Plantin, Jeanette, Nygren-Deboussard, Catharina, Schütz, Marika, Östberg, Per, Lindberg, Påvel G., Hybbinette, Helena, Schalling, Ellika, Plantin, Jeanette, Nygren-Deboussard, Catharina, Schütz, Marika, Östberg, Per, and Lindberg, Påvel G.
Published: 2021
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26. Assistant: Learning and robust decision support system for agile manufacturing environments

Author: Beldiceanu, Nicolas, Dolgui, Alexandre, Gonnermann, Clemens, Gonzalez-Castañé, Gabriel, Kousi, Niki, Meyers, Bart, Prud'homme, Julien, Thevenin, Simon, Vyhmeister, Eduardo, Östberg, Per-Olov, Beldiceanu, Nicolas, Dolgui, Alexandre, Gonnermann, Clemens, Gonzalez-Castañé, Gabriel, Kousi, Niki, Meyers, Bart, Prud'homme, Julien, Thevenin, Simon, Vyhmeister, Eduardo, and Östberg, Per-Olov
Abstract: The European project ASSISTANT will provide a set of AI-based digital twins that helps process engineers and production planners to operate collaborative mixed-model assembly lines based on the data collected from IoT devices and external data sources. Such a tool will help planners to design the assembly line, plan the production, operate the line, and improve process tuning. In addition, the system monitors the line in real-time, ensures that all required resources are available, and allows fast re-planning when necessary. ASSISTANT aims to make cost-effective decisions while ensuring product quality, safety and wellbeing of the workers, and managing the various sources of uncertainties. The resulting digital twin systems will be data-driven, agile, autonomous, collaborative and explainable, safe but reactive.
Published: 2021
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27. Non-Standard Errors

Author: Leerstoel Stigchel, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Finance, UU LEG Research UUSE Multidisciplinary Economics, LS Algemene Literatuurwetenschap, Hydrogeology, Sub General Pharmaceutics, Finance and Financial Markets, Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Sarah, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Zhang, Lu, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, Van Dijk, Matthijs A., Leerstoel Stigchel, Helmholtz Institute, Experimental Psychology (onderzoeksprogramma PF), Finance, UU LEG Research UUSE Multidisciplinary Economics, LS Algemene Literatuurwetenschap, Hydrogeology, Sub General Pharmaceutics, Finance and Financial Markets, Menkveld, Albert J., Abudy, Menachem (Meni), Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, Adrian, Tobias, He, Xue-Zhong 'Tony', Heath, Davidson, Hediger, Simon, Hendershott, Terrence J., Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth, Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Ait-Sahalia, Yacine, Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian R., Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Akmansoy, Olivier, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, van Kervel, Vincent, Khan, Saad, Alcock, Jamie, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Alexeev, Vitali, Lajaunie, Quentin, Lam, Full Yet Eric Campbell, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, (Michael) Hui, Aloosh, Arash, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente-Alvarez, Jesus-Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Amato, Livia, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah C, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Amaya, Diego, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Nordén, Lars L., O'Neill, Peter, Angel, James J., Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual Gascó, Roberto, Pasquariello, Paolo, Pastor, Lubos, Dreber, Anna, Bach, Amadeus, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Pelster, Matthias, Pérignon, Christophe, Pfiffer, Cameron, Philip, Richard, Plíhal, Tomáš, Prakash, Puneet, Baidoo, Edwin, Press, Oliver-Alexander, Prodromou, Tina, Putnins, Talis J., Raizada, Gaurav, Rakowski, David A., Ranaldo, Angelo, Regis, Luca, Reitz, Stefan, Renault, Thomas, Wang, Renjie, Bakalli, Gaetan, Renò, Roberto, Riddiough, Steven, Rinne, Kalle, Rintamäki, Paul, Riordan, Ryan, Rittmannsberger, Thomas, Rodríguez Longarela, Iñaki, Rösch, Dominik, Rognone, Lavinia, Roseman, Brian, Barbon, Andrea, Rosu, Ioanid, Roy, Saurabh, Rudolf, Nicolas, Rush, Stephen, Rzayev, Khaladdin, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Bashchenko, Oksana, Scaillet, Olivier, Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Bindra, Parampreet Christopher, Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Bjonnes, Geir Hoidal, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Black, Jeffrey R., Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Black, Bernard S., Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, van der Wel, Michel, Werner, Ingrid M., Bohorquez, Santiago, Westerholm, P. Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christian C. P., Wolk, Leonard, Wong, Wing-Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Holzmeister, Felix, Bondarenko, Oleg, Xu, Ke, Xu, Caihong, Yadav, Pradeep K., Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Bos, Charles S., Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Sarah, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu, Bosch-Rosa, Ciril, Zoican, Marius, Zwinkels, Remco C.J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Bouri, Elie, Sönksen, Jantje, Zhang, Lu, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Brownlees, Christian T., Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Huber, Juergen, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William Ming Yan, Chincarini, Ludwig B., Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Johanneson, Magnus, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Kirchler, Michael, Deku, Solomon, Desagre, Christophe, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Razen, Michael, Dyhrberg, Anne Haubo, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, ter Ellen, Saskia, Eugster, Nicolas, Evans, Martin D.D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Weitzel, Utz, FERROUHI, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco A., Frijns, Bart, Frömmel, Michael, Abad, David, Fu, Servanna Mianjun, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, and Van Dijk, Matthijs A.
Published: 2021

28. Multivariate Time Series Synthesis Using Generative Adversarial Networks

Author: Leznik, Mark, Michalsky, Patrick, Willis, Peter, Schanzel, Benjamin, Östberg, Per-Olov, Domaschka, Jörg, Leznik, Mark, Michalsky, Patrick, Willis, Peter, Schanzel, Benjamin, Östberg, Per-Olov, and Domaschka, Jörg
Abstract: Collection and analysis of distributed (cloud) computing workloads allows for a deeper understanding of user and system behavior and is necessary for efficient operation of infrastructures and applications. The availability of such workload data is however often limited as most cloud infrastructures are commercially operated and monitoring data is considered proprietary or falls under GPDR regulations. This work investigates the generation of synthetic workloads using Generative Adversarial Networks and addresses a current need for more data and better tools for workload generation. Resource utilization measurements such as the utilization rates of Content Delivery Network (CDN) caches are generated and a comparative evaluation pipeline using descriptive statistics and time-series analysis is developed to assess the statistical similarity of generated and measured workloads. We use CDN data open sourced by us in a data generation pipeline as well as back-end ISP workload data to demonstrate the multivariate synthesis capability of our approach. The work contributes a generation method for multivariate time series workload generation that can provide arbitrary amounts of statistically similar data sets based on small subsets of real data. The presented technique shows promising results, in particular for heterogeneous workloads not too irregular in temporal behavior.
Published: 2021
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29. Non-standard errors

Author: Menkveld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Jürgen, Johannesson, Magnus, Kirchler, Michael, Razen, Michael, Weitzel, Utz, Abad Díaz, David, Abudy, Menachem, Adrian, Tobias, Ait-Sahalia, Yacine, Akmansoy, Olivier, Alcock, Jamie, Alexeev, Vitali, Aloosh, Arash, Amato, Livia, Amaya, Diego, Angel, James, Bach, Amadeus, Baidoo, Edwin, Bakalli, Gaetan, Barbon, Andrea, Bashchenko, Oksana, Bindra, Parampreet Christopher, Bjonnes, Geir Hoidal, Black, Jeff, Black, Bernard S., Bohorquez, Santiago, Bondarenko, Oleg, Bos, Charles S., Bosch-Rosa, Ciril, Bouri, Elie, Brownlees, Christian, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William M., Chincarini, Ludwig Boris, Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Deku, Solomon, Desagre, Christophe, Dijk, Mathijs van, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Haubo Dyhrberg, Anne, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, Ellen, Saskia ter, Eugster, Nicolas, Evans, Martin D. D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Ferrouhi, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco, Frijns, Bart, Frömmel, Michael, Fu, Servanna, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, He, Xuezhong, Heath, Davidson, Hediger, Simon, Hendershott, Terrence, Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth A., Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian Rama, Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, Kervel, Vincent van, Khan, Saad, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Lajaunie, Quentin, Lam, FY Eric C, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, Hui, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente, Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Norden, Lars L., O'Neill, Peter, Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual, Roberto, Pasquariello, Paolo, Pastor, Lubos, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Scaillet, O., Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, Wel, Michel van der, Werner, Ingrid M., Westerholm, Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christiaan Cornelis Petrus, Wolk, Leonard, Wong, Wing Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Xu, Ke, Xu, Caihong, Yadav, Pradeep, Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Sarah, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu Sonya, Zoican, Marius, Zwinkels, Remco C. J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Sönksen, Jantje, Zhang, Lu, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, Wu, Zhen-Xing, Menkveld, Albert J., Dreber, Anna, Holzmeister, Felix, Huber, Jürgen, Johannesson, Magnus, Kirchler, Michael, Razen, Michael, Weitzel, Utz, Abad Díaz, David, Abudy, Menachem, Adrian, Tobias, Ait-Sahalia, Yacine, Akmansoy, Olivier, Alcock, Jamie, Alexeev, Vitali, Aloosh, Arash, Amato, Livia, Amaya, Diego, Angel, James, Bach, Amadeus, Baidoo, Edwin, Bakalli, Gaetan, Barbon, Andrea, Bashchenko, Oksana, Bindra, Parampreet Christopher, Bjonnes, Geir Hoidal, Black, Jeff, Black, Bernard S., Bohorquez, Santiago, Bondarenko, Oleg, Bos, Charles S., Bosch-Rosa, Ciril, Bouri, Elie, Brownlees, Christian, Calamia, Anna, Cao, Viet Nga, Capelle-Blancard, Gunther, Capera, Laura, Caporin, Massimiliano, Carrion, Allen, Caskurlu, Tolga, Chakrabarty, Bidisha, Chernov, Mikhail, Cheung, William M., Chincarini, Ludwig Boris, Chordia, Tarun, Chow, Sheung Chi, Clapham, Benjamin, Colliard, Jean-Edouard, Comerton-Forde, Carole, Curran, Edward, Dao, Thong, Dare, Wale, Davies, Ryan J., De Blasis, Riccardo, De Nard, Gianluca, Declerck, Fany, Deev, Oleg, Degryse, Hans, Deku, Solomon, Desagre, Christophe, Dijk, Mathijs van, Dim, Chukwuma, Dimpfl, Thomas, Dong, Yun Jiang, Drummond, Philip, Dudda, Tom, Dumitrescu, Ariadna, Dyakov, Teodor, Haubo Dyhrberg, Anne, Dzieliński, Michał, Eksi, Asli, El Kalak, Izidin, Ellen, Saskia ter, Eugster, Nicolas, Evans, Martin D. D., Farrell, Michael, Félez-Viñas, Ester, Ferrara, Gerardo, Ferrouhi, El Mehdi, Flori, Andrea, Fluharty-Jaidee, Jonathan, Foley, Sean, Fong, Kingsley Y. L., Foucault, Thierry, Franus, Tatiana, Franzoni, Francesco, Frijns, Bart, Frömmel, Michael, Fu, Servanna, Füllbrunn, Sascha, Gan, Baoqing, Gehrig, Thomas, Gerritsen, Dirk, Gil-Bazo, Javier, Glosten, Lawrence R., Gomez, Thomas, Gorbenko, Arseny, Güçbilmez, Ufuk, Grammig, Joachim, Gregoire, Vincent, Hagströmer, Björn, Hambuckers, Julien, Hapnes, Erik, Harris, Jeffrey H., Harris, Lawrence, Hartmann, Simon, Hasse, Jean-Baptiste, Hautsch, Nikolaus, He, Xuezhong, Heath, Davidson, Hediger, Simon, Hendershott, Terrence, Hibbert, Ann Marie, Hjalmarsson, Erik, Hoelscher, Seth A., Hoffmann, Peter, Holden, Craig W., Horenstein, Alex R., Huang, Wenqian, Huang, Da, Hurlin, Christophe, Ivashchenko, Alexey, Iyer, Subramanian Rama, Jahanshahloo, Hossein, Jalkh, Naji, Jones, Charles M., Jurkatis, Simon, Jylha, Petri, Kaeck, Andreas, Kaiser, Gabriel, Karam, Arzé, Karmaziene, Egle, Kassner, Bernhard, Kaustia, Markku, Kazak, Ekaterina, Kearney, Fearghal, Kervel, Vincent van, Khan, Saad, Khomyn, Marta, Klein, Tony, Klein, Olga, Klos, Alexander, Koetter, Michael, Krahnen, Jan Pieter, Kolokolov, Aleksey, Korajczyk, Robert A., Kozhan, Roman, Kwan, Amy, Lajaunie, Quentin, Lam, FY Eric C, Lambert, Marie, Langlois, Hugues, Lausen, Jens, Lauter, Tobias, Leippold, Markus, Levin, Vladimir, Li, Yijie, Li, Hui, Liew, Chee Yoong, Lindner, Thomas, Linton, Oliver B., Liu, Jiacheng, Liu, Anqi, Llorente, Guillermo, Lof, Matthijs, Lohr, Ariel, Longstaff, Francis A., Lopez-Lira, Alejandro, Mankad, Shawn, Mano, Nicola, Marchal, Alexis, Martineau, Charles, Mazzola, Francesco, Meloso, Debrah, Mihet, Roxana, Mohan, Vijay, Moinas, Sophie, Moore, David, Mu, Liangyi, Muravyev, Dmitriy, Murphy, Dermot, Neszveda, Gabor, Neumeier, Christian, Nielsson, Ulf, Nimalendran, Mahendrarajah, Nolte, Sven, Norden, Lars L., O'Neill, Peter, Obaid, Khaled, Ødegaard, Bernt Arne, Östberg, Per, Painter, Marcus, Palan, Stefan, Palit, Imon, Park, Andreas, Pascual, Roberto, Pasquariello, Paolo, Pastor, Lubos, Patel, Vinay, Patton, Andrew J., Pearson, Neil D., Pelizzon, Loriana, Rzeźnik, Aleksandra, Sanford, Anthony, Sankaran, Harikumar, Sarkar, Asani, Sarno, Lucio, Scaillet, O., Scharnowski, Stefan, Schenk-Hoppé, Klaus Reiner, Schertler, Andrea, Schneider, Michael, Schroeder, Florian, Schürhoff, Norman, Schuster, Philipp, Schwarz, Marco A., Seasholes, Mark S., Seeger, Norman, Shachar, Or, Shkilko, Andriy, Shui, Jessica, Sikic, Mario, Simion, Giorgia, Smales, Lee A., Söderlind, Paul, Sojli, Elvira, Sokolov, Konstantin, Spokeviciute, Laima, Stefanova, Denitsa, Subrahmanyam, Marti G., Neusüss, Sebastian, Szaszi, Barnabas, Talavera, Oleksandr, Tang, Yuehua, Taylor, Nicholas, Tham, Wing Wah, Theissen, Erik, Thimme, Julian, Tonks, Ian, Tran, Hai, Trapin, Luca, Trolle, Anders B., Valente, Giorgio, Van Ness, Robert A., Vasquez, Aurelio, Verousis, Thanos, Verwijmeren, Patrick, Vilhelmsson, Anders, Vilkov, Grigory, Vladimirov, Vladimir, Vogel, Sebastian, Voigt, Stefan, Wagner, Wolf, Walther, Thomas, Weiss, Patrick, Wel, Michel van der, Werner, Ingrid M., Westerholm, Joakim, Westheide, Christian, Wipplinger, Evert, Wolf, Michael, Wolff, Christiaan Cornelis Petrus, Wolk, Leonard, Wong, Wing Keung, Wrampelmeyer, Jan, Xia, Shuo, Xiu, Dacheng, Xu, Ke, Xu, Caihong, Yadav, Pradeep, Yagüe, José, Yan, Cheng, Yang, Antti, Yoo, Woongsun, Yu, Wenjia, Yu, Shihao, Yueshen, Bart Zhou, Yuferova, Darya, Zamojski, Marcin, Zareei, Abalfazl, Zeisberger, Stefan, Zhang, Sarah, Zhang, Xiaoyu, Zhong, Zhuo, Zhou, Z. Ivy, Zhou, Chen, Zhu, Xingyu Sonya, Zoican, Marius, Zwinkels, Remco C. J., Chen, Jian, Duevski, Teodor, Gao, Ge, Gemayel, Roland, Gilder, Dudley, Kuhle, Paul, Pagnotta, Emiliano, Pelli, Michele, Sönksen, Jantje, Zhang, Lu, Ilczuk, Konrad, Bogoev, Dimitar, Qian, Ya, Wika, Hans C., Yu, Yihe, Zhao, Lu, Mi, Michael, Bao, Li, Vaduva, Andreea, Prokopczuk, Marcel, Avetikian, Alejandro, and Wu, Zhen-Xing
Abstract: In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
Published: 2021

30. Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke

Author: Hybbinette, Helena, primary, Schalling, Ellika, additional, Plantin, Jeanette, additional, Nygren-Deboussard, Catharina, additional, Schütz, Marika, additional, Östberg, Per, additional, and Lindberg, Påvel G., additional
Published: 2021
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31. Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke

Author: Hybbinette, Helena, Schalling, Ellika, Plantin, Jeanette, Nygren-Deboussard, Catharina, Schütz, Marika, Östberg, Per, Lindberg, Påvel, Karolinska Institutet [Stockholm], Department of Clinical Sciences, Danderyd Hospital, Karolinska University Hospital [Stockholm], Institut de psychiatrie et neurosciences de Paris (IPNP - U1266 Inserm), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Martinez Rico, Clara, Danderyds sjukhus = Danderyd University Hospital, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)
Subjects: recovery, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Neurology, prevalence, apraxia of speech, aphasia (language), Neurology (clinical), stroke, hand motor impairment, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Original Research
Abstract: International audience; Objective: Aphasia and apraxia of speech (AOS) after stroke frequently co-occur with a hand motor impairment but few studies have investigated stroke recovery across motor and speech-language domains. In this study, we set out to test the shared recovery hypothesis. We aimed to (1) describe the prevalence of AOS and aphasia in subacute stroke patients with a hand motor impairment and (2) to compare recovery across speech-language and hand motor domains. In addition, we also explored factors predicting recovery from AOS. Methods: Seventy participants with mild to severe paresis in the upper extremity were assessed; 50% of these (n = 35) had left hemisphere (LH) lesions. Aphasia, AOS and hand motor assessments and magnetic resonance imaging were conducted at 4 weeks (A1) and at 6 months (A2) after stroke onset. Recovery was characterized in 15 participants showing initial aphasia that also had complete follow-up data at 6 months. Results: All participants with AOS and/or aphasia had LH lesions. In LH lesioned, the prevalence of aphasia was 71% and of AOS 57%. All participants with AOS had aphasia; 80% of the participants with aphasia also had AOS. Recovery in aphasia (n = 15) and AOS (n = 12) followed a parallel pattern to that observed in hand motor impairment and recovery correlated positively across speech-language and motor domains. The majority of participants with severe initial aphasia and AOS showed a limited but similar amount of recovery across domains. Lesion volume did not correlate with results from behavioral assessments, nor with recovery. The initial aphasia score was the strongest predictor of AOS recovery. Conclusion: Our findings confirm the common occurrence of AOS and aphasia in left hemisphere stroke patients with a hand motor impairment. Recovery was similar across speech-language and motor domains, even in patients with severe impairment, supporting the shared recovery hypothesis and that similar brain recovery mechanisms are involved in speech-language and motor recovery post stroke. These observations contribute to the knowledge of AOS and its relation to motor and language functions and add information that may serve as a basis for future studies of post stroke recovery. Studies including neuroimaging and/or biological assays are required to gain further knowledge on shared brain recovery mechanisms.
Published: 2020

32. Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications

Author: Östberg, Per-Olov, Le Duc, Thang, Casari, Paolo, García Leiva, Rafael, Fernández Anta, Antonio|||0000-0001-6501-2377, Lynn, Theo, Mooney, John G., Domaschka, Jörg, and Ellis, Keith A.
Subjects: Distributed cloud, Resource provisioning, Workload modelling, Workload prediction, Application optimisation, Autoscaling, Workload propagation modelling
Abstract: Optimisation of (the configuration and deployment of) distributed cloud applications is a complex problem that requires understanding factors such as infrastructure and application topologies, workload arrival and propagation patterns, and the predictability and variations of user behaviour. This chapter outlines the RECAP approach to application optimisation and presents its framework for joint modelling of applications, workloads, and the propagation of workloads in applications and networks. The interaction of the models and algorithms developed is described and presented along with the tools that build on them. Contributions in modelling, characterisation, and autoscaling of applications, as well as prediction and generation of workloads, are presented and discussed in the context of optimisation of distributed cloud applications operating in complex heterogeneous resource environments. TRUE pub
Published: 2020

33. Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Author: Krzywda, Jakub, Meyer, Vinicius, Xavier, Miguel G., Ali-Eldin, Ahmed, Östberg, Per-Olov, De Rose, Cesar A. F., Elmroth, Erik, Krzywda, Jakub, Meyer, Vinicius, Xavier, Miguel G., Ali-Eldin, Ahmed, Östberg, Per-Olov, De Rose, Cesar A. F., and Elmroth, Erik
Abstract: Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation toservers and hosted applications, testing them has been challengingwith no available simulation platform that enables such testingfor different scenarios and configurations. To facilitate evaluationand comparison of such techniques and algorithms, we introducea simulation model for Quality-of-Service aware power budgetingand its implementation in CloudSim. We validate the proposedsimulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability.
Published: 2020
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34. Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds

Author: Domaschka, Jörg, Griesinger, Frank, Leznik, Mark, Östberg, Per-Olov, Ellis, Keith A., Casari, Paolo, Fowley, Frank, Lynn, Theo, Domaschka, Jörg, Griesinger, Frank, Leznik, Mark, Östberg, Per-Olov, Ellis, Keith A., Casari, Paolo, Fowley, Frank, and Lynn, Theo
Abstract: The complexity of computing along the cloud-to-edge continuum presents significant challenges to ICT operations and in particular reliable capacity planning and resource provisioning to meet unpredictable, fluctuating, and mobile demand. This chapter presents a high-level conceptual overview of RECAP—an architectural innovation to support reliable capacity provisioning for distributed clouds—and its operational modes and functional building blocks. In addition, the major design concepts informing its design—namely separation of concerns, model-centricism, modular design, and machine learning and artificial intelligence for IT operations—are also discussed.
Published: 2020
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35. Workload Diffusion Modeling for Distributed Applications in Fog/Edge Computing Environments

Author: Le Duc, Thang, Leznik, Mark, Domaschka, Jorg, Östberg, Per-Olov, Le Duc, Thang, Leznik, Mark, Domaschka, Jorg, and Östberg, Per-Olov
Abstract: This paper addresses the problem of workload generation for distributed applications in fog/edge computing. Unlike most existing work that tends to generate workload data for individual network nodes using historical data from the targeted node, this work aims to extrapolate supplementary workloads for entire application / infrastructure graphs through diffusion of measurements from limited subsets of nodes. A framework for workload generation is proposed, which defines five diffusion algorithms that use different techniques for data extrapolation and generation. Each algorithm takes into account different constraints and assumptions when executing its diffusion task, and individual algorithms are applicable for modeling different types of applications and infrastructure networks. Experiments are performed to demonstrate the approach and evaluate the performance of the algorithms under realistic workload settings, and results are validated using statistical techniques.
Published: 2020
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36. Final System Architecture and Integration : RECAP Deliverable 4.4

Author: Domaschka, Jörg, Narvä, Linus, Östberg, Per-Olov, Svorobej, Sergej, Garcia, Rafael, Ellis, Keith, Griesinger, Frank, European Union (EU), and Horizon 2020
Subjects: Programming (Mathematics), capacity provisioning, Computerarchitektur, Optimierung, Rechenkapazität, system architecture, Edge computing, Computer simulation, simulation, machine learning, ddc:000, Computer architecture, DDC 000 / Computer science, information & general works, Computer capacity, optimization, Maschinelles Lernen, Computersimulation
Abstract: RECAP targets the automated operation and management of applications / service chains in largescale geographically distributed infrastructure. As such, RECAP components need to operate across distributed infrastructure, which makes the RECAP tooling itself a distributed application. Earlier documents introduced RECAP’s initial architecture (D4.2) and described the initial prototype of the platform (D4.6). This document combines both predecessor documents and enhances them with an updated description of the RECAP architecture. From an architectural point of view, RECAP consists of four functional building blocks (sub systems): (i) landscaping and monitoring, (ii) application and infrastructure optimization, (iii) simulation and planning, and (iv) data analytics and machine learning. (i) The Landscaping and Monitoring sub-system is responsible for gathering information about the structure of the current infrastructure and application landscape and monitoring their state. This is the main source for both the Data Analytics and Machine Learning as well as Application and Infrastructure Optimization sub-system. (ii) The Application and Infrastructure optimizers make decisions based on internal models as well as live information provided by the landscaping and monitoring subsystem. Separating between dedicated application and infrastructure optimizers enables the realisation of a ‘separation of concerns’. (iii) The simulation and planning sub-system provides means for supporting the validation of RECAP models, the execution of ‘what-if’ scenarios, and the long-term planning of the large scale infrastructures. (iv) The data analytics and machine learning sub system provides tools and means to distil statistical properties and patterns from load traces; particular focus is thereby put on workload prediction. With regard to integration, RECAP targets a loose coupling between the components fostering independent uptake and re-use of building blocks.
Published: 2019

37. ASSISTANT: Learning and Robust Decision Support System for Agile Manufacturing Environments

Author: Beldiceanu, Nicolas, primary, Dolgui, Alexandre, additional, Gonnermann, Clemens, additional, Gonzalez-Castañé, Gabriel, additional, Kousi, Niki, additional, Meyers, Bart, additional, Prud’homme, Julien, additional, Thevenin, Simon, additional, Vyhmeister, Eduardo, additional, and Östberg, Per-Olov, additional
Published: 2021
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38. Verbal fluency in relation to reading ability in students with and without dyslexia

Author: Shareef, Zeinab, Östberg, Per, Hedenius, Martina, Shareef, Zeinab, Östberg, Per, and Hedenius, Martina
Abstract: Verbal fluency tasks, in which participants generate words during a set time, have been used in research and assessments of neurobiological disorders and impairments. Research on verbal fluency in dyslexia has shown impaired performance in semantic and letter fluency. However, studies report inconsistent results, and action fluency has not been examined in dyslexia. Current research has mainly examined verbal fluency in relation to executive functions, vocabulary, and phonological processing. The present study examined performance on letter, semantic, and action fluency in relation to reading ability in 42 students in higher education, of which 16 had developmental dyslexia and 26 had typical reading development. It was examined if verbal fluency can predict variance in reading ability when group, phonological awareness, and rapid automatized naming are controlled for. Results showed impaired verbal fluency in the developmental dyslexia group. Action fluency and group were significant predictors of reading ability, together explaining 73% of the variance, in a backward elimination regression analysis. The results point to a possible, unique connection between action fluency and reading ability; this connection is discussed based on their neurocognitive underpinnings.
Published: 2019
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39. Power Shepherd : Application Performance Aware Power Shifting

Author: Krzywda, Jakub, Ali-Eldin, Ahmed, Wadbro, Eddie, Östberg, Per-Olov, Elmroth, Erik, Krzywda, Jakub, Ali-Eldin, Ahmed, Wadbro, Eddie, Östberg, Per-Olov, and Elmroth, Erik
Abstract: Constantly growing power consumption of data centers is a major concern from environmental and economical reasons. Current approaches to reduce negative consequences of high power consumption focus on limiting the peak power consumption. During high workload periods, power consumption of highly utilized servers is throttled to stay within the power budget. However, the peak power reduction affects performance of hosted applications and thus leads to Quality of Service violations. In this paper, we introduce Power Shepherd, a hierarchical system for application performance aware power shifting. Power Shepherd reduces the data center operational costs by redistributing the available power among applications hosted in the cluster. This is achieved by, assigning server power budgets by the cluster controller, enforcing these power budgets using Running Average Power Limit (RAPL), and prioritizing applications within each server by adjusting the CPU scheduling configuration. We implement a prototype of the proposed solution and evaluate it in a real testbed equipped with power meters and using representative cloud applications. Our experiments show that Power Shepherd has potential to manage a cluster consisting of thousands of servers and limit the increase of operational costs by a significant amount when the cluster power budget is limited and the system is overutilized. Finally, we identify some outstanding challenges regarding model sensitivity and the fact that this approach in its current from is not beneficial to be used in all situations, e.g., when the system is underutilized., Originally included in thesis in manuscript form.
Published: 2019
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40. Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing : A Survey

Author: Le Duc, Thang, García Leiva, Rafael, Casari, Paolo, Östberg, Per-Olov, Le Duc, Thang, García Leiva, Rafael, Casari, Paolo, and Östberg, Per-Olov
Abstract: Large-scale software systems are currently designed as distributed entities and deployed in cloud data centers. To overcome the limitations inherent to this type of deployment, applications are increasingly being supplemented with components instantiated closer to the edges of networks—a paradigm known as edge computing. The problem of how to efficiently orchestrate combined edge-cloud applications is, however, incompletely understood, and a wide range of techniques for resource and application management are currently in use. This article investigates the problem of reliable resource provisioning in joint edge-cloud environments, and surveys technologies, mechanisms, and methods that can be used to improve the reliability of distributed applications in diverse and heterogeneous network environments. Due to the complexity of the problem, special emphasis is placed on solutions to the characterization, management, and control of complex distributed applications using machine learning approaches. The survey is structured around a decomposition of the reliable resource provisioning problem into three categories of techniques: workload characterization and prediction, component placement and system consolidation, and application elasticity and remediation. Survey results are presented along with a problem-oriented discussion of the state-of-the-art. A summary of identified challenges and an outline of future research directions are presented to conclude the article.
Published: 2019
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41. Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling

Author: Krzywda, Jakub, Ali-Eldin, Ahmed, Carlson, Trevor E., Östberg, Per-Olov, Elmroth, Erik, Krzywda, Jakub, Ali-Eldin, Ahmed, Carlson, Trevor E., Östberg, Per-Olov, and Elmroth, Erik
Abstract: Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work investigates the utility of these four actuators, and quantifies the power-performance tradeoffs associated with them. Using replicas of the German Wikipedia running on our local testbed, we perform a set of experiments to quantify the influence of DVFS, vertical and horizontal scaling, and CPU pinning on end-to-end response time (average and tail), throughput, and power consumption with different workloads. Results of the experiments show that DVFS rarely reduces the power consumption of underloaded servers by more than 5%, but it can be used to limit the maximal power consumption of a saturated server by up to 20% (at a cost of performance degradation). CPU pinning reduces the power consumption of underloaded server (by up to 7%) at the cost of performance degradation, which can be limited by choosing an appropriate CPU pinning scheme. Horizontal and vertical scaling improves both the average and tail response time, but the improvement is not proportional to the amount of resources added. The load balancing strategy has a big impact on the tail response time of horizontally scaled applications., Comment: 31 pages
Published: 2019
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42. Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

Author: Duc, Thang Le, primary, Leiva, Rafael García, additional, Casari, Paolo, additional, and Östberg, Per-Olov, additional
Published: 2019
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43. The Compensatory Effect of Text-to-Speech Technology on Reading Comprehension and Reading Rate in Swedish Schoolchildren With Reading Disability : The Moderating Effect of Inattention and Hyperactivity Symptoms Differs by Grade Groups

Author: Grunér, Sofia, Östberg, Per, Hedenius, Martina, Grunér, Sofia, Östberg, Per, and Hedenius, Martina
Abstract: The purpose of this study was (i) to investigate if the compensatory effect of text-to-speech (TTS) technology on reading comprehension and reading rate in schoolchildren with reading disability is influenced by problems with inattention and hyperactivity and (ii) to examine whether a potentially moderating effect of such symptoms differ between grade groups. Participants (N = 49) were randomized into one of the two experimental conditions: Group A listened to a text with TTS, and Group B read the text themselves. The conditions were then switched. Inattention and hyperactivity symptoms were assessed with the Strengths and Difficulties Questionnaire (SDQ). Statistical analyses were performed both on the whole group and within-grade groups (Grades 3–5 and 6–9). Using TTS technology had a positive effect on reading rate for both grade groups, and this effect was not influenced by attention-deficit/hyperactivity disorder (ADHD) symptoms. As for reading comprehension, the two groups differed both with respect to the amount of improvement seen in the TTS condition and with respect to the moderating effect of ADHD symptoms. Reading with TTS improved reading comprehension significantly in the younger group, whereas no effect on reading comprehension was found in the older group. A higher score on the SDQ ADHD Scale was associated with less improvement in reading comprehension in the younger group and with greater improvement in reading comprehension in the older group. The results indicate that symptoms of inattention and hyperactivity, as well as the child’s grade level, are factors that should be taken into account when planning and introducing TTS technology.
Published: 2018
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44. Power-performance tradeoffs in data center servers : DVFS, CPU pinning, horizontal, and vertical scaling

Author: Krzywda, Jakub, Ali-Eldin, Ahmed, Carlson, Trevor E., Östberg, Per-Olov, Elmroth, Erik, Krzywda, Jakub, Ali-Eldin, Ahmed, Carlson, Trevor E., Östberg, Per-Olov, and Elmroth, Erik
Abstract: Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work investigates the utility of these four actuators, and quantifies the power-performance tradeoffs associated with them. Using replicas of the German Wikipedia running on our local testbed, we perform a set of experiments to quantify the influence of DVFS, vertical and horizontal scaling, and CPU pinning on end-to-end response time (average and tail), throughput, and power consumption with different workloads. Results of the experiments show that DVFS rarely reduces the power consumption of underloaded servers by more than 5%, but it can be used to limit the maximal power consumption of a saturated server by up to 20% (at a cost of performance degradation). CPU pinning reduces the power consumption of underloaded server (by up to 7%) at the cost of performance degradation, which can be limited by choosing an appropriate CPU pinning scheme. Horizontal and vertical scaling improves both the average and tail response time, but the improvement is not proportional to the amount of resources added. The load balancing strategy has a big impact on the tail response time of horizontally scaled applications.
Published: 2018
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45. ALPACA : Application Performance Aware Server Power Capping

Author: Krzywda, Jakub, Ali-Eldin, A., Wadbro, Eddie, Östberg, Per-Olov, Elmroth, Erik, Krzywda, Jakub, Ali-Eldin, A., Wadbro, Eddie, Östberg, Per-Olov, and Elmroth, Erik
Abstract: Server power capping limits the power consumption of a server to not exceed a specific power budget. This allows data center operators to reduce the peak power consumption at the cost of performance degradation of hosted applications. Previous work on server power capping rarely considers Quality-of-Service (QoS) requirements of consolidated services when enforcing the power budget. In this paper, we introduce ALPACA, a framework to reduce QoS violations and overall application performance degradation for consolidated services. ALPACA reduces unnecessary high power consumption when there is no performance gain, and divides the power among the running services in a way that reduces the overall QoS degradation when the power is scarce. We evaluate ALPACA using four applications: MediaWiki, SysBench, Sock Shop, and CloudSuite’s Web Search benchmark. Our experiments show that ALPACA reduces the operational costs of QoS penalties and electricity by up to 40% compared to a non optimized system.
Published: 2018
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46. Towards understanding HPC users and systems : a NERSC case study

Author: Rodrigo, Gonzalo P., Östberg, Per-Olov, Elmroth, Erik, Antypas, Katie, Gerber, Richard, Ramakrishnan, Lavanya, Rodrigo, Gonzalo P., Östberg, Per-Olov, Elmroth, Erik, Antypas, Katie, Gerber, Richard, and Ramakrishnan, Lavanya
Abstract: High performance computing (HPC) scheduling landscape currently faces new challenges due to the changes in the workload. Previously, HPC centers were dominated by tightly coupled MPI jobs. HPC workloads increasingly include high-throughput, data-intensive, and stream-processing applications. As a consequence, workloads are becoming more diverse at both application and job levels, posing new challenges to classical HPC schedulers. There is a need to understand the current HPC workloads and their evolution to facilitate informed future scheduling research and enable efficient scheduling in future HPC systems. In this paper, we present a methodology to characterize workloads and assess their heterogeneity, at a particular time period and its evolution over time. We apply this methodology to the workloads of three systems (Hopper, Edison, and Carver) at the National Energy Research Scientific Computing Center (NERSC). We present the resulting characterization of jobs, queues, heterogeneity, and performance that includes detailed information of a year of workload (2014) and evolution through the systems' lifetime (2010–2014)., Work also supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR) and we used resources at the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility, supported by the Officece of Science of the U.S. Department of Energy, both under Contract No. DE-AC02-05CH11231.Originally included in thesis in manuscript form in 2017.
Published: 2018
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47. ScSF : a scheduling simulation framework

Author: Gonzalo P., Rodrigo, Elmroth, Erik, Östberg, Per-Olov, Ramakrishnan, Lavanya, Gonzalo P., Rodrigo, Elmroth, Erik, Östberg, Per-Olov, and Ramakrishnan, Lavanya
Abstract: High-throughput and data-intensive applications are increasingly present, often composed as workflows, in the workloads of current HPC systems. At the same time, trends for future HPC systems point towards more heterogeneous systems with deeper I/O and memory hierarchies. However, current HPC schedulers are designed to support classical large tightly coupled parallel jobs over homogeneous systems. Therefore, There is an urgent need to investigate new scheduling algorithms that can manage the future workloads on HPC systems. However, there is a lack of appropriate models and frameworks to enable development, testing, and validation of new scheduling ideas. In this paper, we present an open-source scheduler simulation framework (ScSF) that covers all the steps of scheduling research through simulation. ScSF provides capabilities for workload modeling, workload generation, system simulation, comparative workload analysis, and experiment orchestration. The simulator is designed to be run over a distributed computing infrastructure enabling to test at scale. We describe in detail a use case of ScSF to develop new techniques to manage scientific workflows in a batch scheduler. In the use case, such technique was implemented in the framework scheduler. For evaluation purposes, 1728 experiments, equivalent to 33 years of simulated time, were run in a deployment of ScSF over a distributed infrastructure of 17 compute nodes during two months. Finally, the experimental results were analyzed in the framework to judge that the technique minimizes workflows’ turnaround time without over-allocating resources. Finally, we discuss lessons learned from our experiences that will help future researchers., Work also supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research (ASCR) and we used resources at the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility, supported by the Officece of Science of the U.S. Department of Energy, both under Contract No. DE-AC02-05CH11231.
Published: 2018
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48. Application, Workload, and Infrastructure Models for Virtualized Content Delivery Networks Deployed in Edge Computing Environments

Author: Le Duc, Thang, Östberg, Per-Olov, Le Duc, Thang, and Östberg, Per-Olov
Abstract: Content Delivery Networks (CDNs) are handling a large part of the traffic over the Internet and are of growing importance for management and operation of coming generations of data intensive applications. This paper addresses modeling and scaling of content-oriented applications, and presents workload, application, and infrastructure models developed in collaboration with a large-scale CDN operating infrastructure provider aimed to improve the performance of content delivery subsystems deployed in wide area networks. It has been shown that leveraging edge resources for the deployment of caches of content greatly benefits CDNs. Therefore, the models are described from an edge computing perspective and intended to be integrated in network topology aware application orchestration and resource management systems., RECAP
Published: 2018
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49. The Sovereign Debt Crisis: Rebalancing or Freezes?

Author: Richter, Thomas Julian, Östberg, Per Nils Anders, and University of Zurich
Subjects: 10003 Department of Banking and Finance, 330 Economics
Published: 2017

50. CACTOS toolkit version 2: accompanying document for prototype deliverable D5.2.2

Author: Groenda, Henning, Stier, Christian, Krzywda, Jakub, Byrne, James, Svorobej, Sergej, Castañé, Gabriel González, Papazachos, Zafeirios, Sheridan, Craig, Whigham, Darren, Hauser, Christopher, Tsitsipas, Athanasios, Domaschka, Jörg, Ali-Eldin, Ahmed, and Östberg, Per-Olov
Subjects: Analytics, Toolkit, Datenmanagement, Cloud Computing, Data management, Context-aware cloud topology, Electric network topology, Cloud services, Tooling, Optimisation, DDC 004 / Data processing & computer science, ddc:004, Cloud, Simulation
Abstract: This document is accompanying material for the prototype deliverable D5.2.2. It describes the changes for the second version of the CACTOS Toolkit and provides details on the integration between the tools and toolkits. A main focus is on showing updated models, as this is how information is passed between the tools. Identical models are used during Runtime and Prediction time. Please refer to accompanying material for the prototype deliverable (D5.2.1 CACTOS Toolkit Version 1) for an overview on the CACTOS toolkits and an exemplary use case. Note that there are two CACTOS toolkits: The CACTOS Runtime Toolkit (label before year 1: CACTOS Toolkit) and the CACTOS Prediction Toolkit. The CACTOS Runtime Toolkit contains the tools CactoScale and CactoOpt and is described in this deliverable. The CACTOS Prediction Toolkit is described in (D6.4 CactoSim Simulation Framework Final Prototype). The major architectural additions to the CACTOS Runtime Toolkit since year 1 are added support for monitoring and scaling of White-Box Applications. White-Box Applications allow for monitoring of application internals on top of the VM-level metrics that CACTOS collects for all VMs. White-Box Applications such as PlayGen’s DataPlay can use CACTOS AutoScaling services to let the CACTOS Runtime Toolkit adapt the degree of horizontal scaling based on the current load. This document describes both the additions to the models and CACTOS Runtime Toolkit that have been made to support monitoring and scaling of White-Box Applications. Finally, the document provides detailed insight into the architecture and service structure of the CACTOS Runtime Toolkit. This includes a detailed description of the Virtualisation Middleware Integration (VMI) and VMI Controller that form the Cloud-specific connector CACTOS uses to translate its optimisation decisions to a running Cloud environment’s API. Additionally, an overview over the Extensible Services Infrastructure architecture style is given. This architecture style allows for a dynamic reconfiguration of used optimisation algorithms and policies. The style also eases the coupling and analysis of optimisation algorithms in the CACTOS Prediction Toolkit.
Published: 2017

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