Search

Your search keyword '"Kecskeméti, Gábor"' showing total 307 results
Start Over Author "Kecskeméti, Gábor"

Refine your results

more »

more »

more »

more »
307 results on '"Kecskeméti, Gábor"'

1. Towards Generating Realistic Trace for Simulating Functions-as-a-Service

Author

Sallo, Dilshad Hassan, Kecskemeti, Gabor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chaves, Ricardo, editor, B. Heras, Dora, editor, Ilic, Aleksandar, editor, Unat, Didem, editor, Badia, Rosa M., editor, Bracciali, Andrea, editor, Diehl, Patrick, editor, Dubey, Anshu, editor, Sangyoon, Oh, editor, L. Scott, Stephen, editor, and Ricci, Laura, editor

Published
2022
Full Text
View/download PDF

3. Cloud Workload Prediction based on Workflow Execution Time Discrepancies

Author

Kecskemeti, Gabor, Nemeth, Zsolt, Kertesz, Attila, and Ranjan, Rajiv

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase the reliability or performance of their applications, they would need solutions to detect behavioural changes in the underlying system. Existing runtime solutions for such purposes offer limited capabilities as they are mostly restricted to revealing weekly or yearly behavioural periodicity in the infrastructure. This article proposes a technique for predicting generic background workload by means of simulations that are capable of providing additional knowledge of the underlying private cloud systems in order to support activities like cloud orchestration or workflow enactment. Our technique uses long-running scientific workflows and their behaviour discrepancies and tries to replicate these in a simulated cloud with known (trace-based) workloads. We argue that the better we can mimic the current discrepancies the better we can tell expected workloads in the near future on the real life cloud. We evaluated the proposed prediction approach with a biochemical application on both real and simulated cloud infrastructures. The proposed algorithm has shown to produce significantly (~20%) better workload predictions for the future of simulated clouds than random workload selection.

Published
2018

4. Bacteriophage Treatment Induces Phenotype Switching and Alters Antibiotic Resistance of ESBL Escherichia coli.

Author

Rózsa, Árpád, Orosz, László, Szemerédi, Nikoletta, Spengler, Gabriella, Kecskeméti, Gábor, Vágó, Otília, Sárvári, Károly Péter, Szabó, Diana, Szabó, Zoltán, Burián, Katalin, and Virok, Dezső Péter

Subjects
NUCLEOTIDE sequencing, MEMBRANE permeability (Technology), ESCHERICHIA coli, BACTERIAL metabolism, BACTERIAL cell walls
Abstract

Background/Objectives: Bacteriophage therapy represents a promising strategy to combat multidrug-resistant pathogens, such as Escherichia coli. In this study, we explored the effects of a bacteriophage infection on an Extended Spectrum Beta-Lactamase (ESBL) positive E. coli isolate. Methods: We used next generation sequencing, proteomics and phenotypic screens to investigate the effect of bacteriophage infections on E. coli metabolism and resistance phenotypes. Results: The bacteriophage infection led to notable alterations in colony morphology, indicating profound changes in bacterial metabolism. Proteomic analysis revealed significant shifts in protein expression, with 65 proteins upregulated and 246 downregulated post-infection. The downregulated proteins were involved in various metabolic pathways, including nucleic acid, protein and lipid metabolism, and iron acquisition. Bacteriophage treatment also led to increased bacterial membrane permeability. Altogether, these alterations in bacterial metabolism and membrane permeability may lead to a general reduction in antibiotic resistance. Indeed, the bacteriophage-infected E. coli exhibited increased sensitivity to various classes of antibiotics, including beta-lactams, fluoroquinolones, trimethoprim-sulfamethoxazole, and aminoglycosides. Conclusions: Our findings highlight the potential of bacteriophage therapy as an adjunct to existing antibiotics, enhancing their efficacy against resistant strains. [ABSTRACT FROM AUTHOR]

Published
2025
Full Text
View/download PDF

5. Improving Existing WMS for Reduced Makespan of Workflows with Lambda

Author

Al-Haboobi, Ali, Kecskemeti, Gabor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Balis, Bartosz, editor, B. Heras, Dora, editor, Antonelli, Laura, editor, Bracciali, Andrea, editor, Gruber, Thomas, editor, Hyun-Wook, Jin, editor, Kuhn, Michael, editor, Scott, Stephen L., editor, Unat, Didem, editor, and Wyrzykowski, Roman, editor

Published
2021
Full Text
View/download PDF

6. DISSECT-CF: a simulator to foster energy-aware scheduling in infrastructure clouds

Author

Kecskemeti, Gabor

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, D.4.7, I.6.0
Abstract

Infrastructure as a service (IaaS) systems offer on demand virtual infrastructures so reliably and flexibly that users expect a high service level. Therefore, even with regards to internal IaaS behaviour, production clouds only adopt novel ideas that are proven not to hinder established service levels. To analyse their expected behaviour, new ideas are often evaluated with simulators in production IaaS system-like scenarios. For instance, new research could enable collaboration amongst several layers of schedulers or could consider new optimisation objectives such as energy consumption. Unfortunately, current cloud simulators are hard to employ and they often have performance issues when several layers of schedulers interact in them. To target these issues, a new IaaS simulation framework (called DISSECT-CF) was designed. The new simulator's foundation has the following goals: easy extensibility, support energy evaluation of IaaSs and to enable fast evaluation of many scheduling and IaaS internal behaviour related scenarios. In response to the requirements of such scenarios, the new simulator introduces concepts such as: a unified model for resource sharing and a new energy metering framework with hierarchical and indirect metering options. Then, the comparison of several simulated situations to real-life IaaS behaviour is used to validate the simulator's functionality. Finally, a performance comparison is presented between DISSECT-CF and some currently available simulators., Comment: 28 pages, 17 figures, preprint version of the paper accepted by Simulation Modelling Practice and Theory

Published
2016
Full Text
View/download PDF

10. Towards Pricing-Aware Consolidation Methods for Cloud Datacenters

Author

Kecskemeti, Gabor, Markus, Andras, Kertesz, Attila, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Muñoz, Víctor Méndez, editor, Ferguson, Donald, editor, Helfert, Markus, editor, and Pahl, Claus, editor

Published
2019
Full Text
View/download PDF

13. Applicability of MDR1 Overexpressing Abcb1KO-MDCKII Cell Lines for Investigating In Vitro Species Differences and Brain Penetration Prediction.

Author

Sóskuti, Emőke, Szilvásy, Nóra, Temesszentandrási-Ambrus, Csilla, Urbán, Zoltán, Csíkvári, Olivér, Szabó, Zoltán, Kecskeméti, Gábor, Pusztai, Éva, and Gáborik, Zsuzsanna

Subjects
P-glycoprotein, CELL lines, SPECIES specificity, ANIMAL experimentation, BIOCHEMICAL substrates, RATS, KRA
Abstract

Implementing the 3R initiative to reduce animal experiments in brain penetration prediction for CNS-targeting drugs requires more predictive in vitro and in silico models. However, animal studies are still indispensable to obtaining brain concentration and determining the prediction performance of in vitro models. To reveal species differences and provide reliable data for IVIVE, in vitro models are required. Systems overexpressing MDR1 and BCRP are widely used to predict BBB penetration, highlighting the impact of the in vitro system on predictive performance. In this study, endogenous Abcb1 knock-out MDCKII cells overexpressing MDR1 of human, mouse, rat or cynomolgus monkey origin were used. Good correlations between ERs of 83 drugs determined in each cell line suggest limited species specificities. All cell lines differentiated CNS-penetrating compounds based on ERs with high efficiency and sensitivity. The correlation between in vivo and predicted Kp,uu,brain was the highest using total ER of human MDR1 and BCRP and optimized scaling factors. MDR1 interactors were tested on all MDR1 orthologs using digoxin and quinidine as substrates. We found several examples of inhibition dependent on either substrate or transporter abundance. In summary, this assay system has the potential for early-stage brain penetration screening. IC50 comparison between orthologs is complex; correlation with transporter abundance data is not necessarily proportional and requires the understanding of modes of transporter inhibition. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

14. Efficient Simulation of IoT Cloud Use Cases

Author

Markus, Andras, Marques, Andre, Kecskemeti, Gabor, Kertesz, Attila, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Ganchev, Ivan, editor, van der Mei, R. D., editor, and van den Berg, Hans, editor

Published
2018
Full Text
View/download PDF

16. Towards a Methodology to Form Microservices from Monolithic Ones

Author

Kecskemeti, Gabor, Kertesz, Attila, Marosi, Attila Csaba, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Desprez, Frédéric, editor, Dutot, Pierre-François, editor, Kaklamanis, Christos, editor, Marchal, Loris, editor, Molitorisz, Korbinian, editor, Ricci, Laura, editor, Scarano, Vittorio, editor, Vega-Rodríguez, Miguel A., editor, Varbanescu, Ana Lucia, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, and Weidendorfer, Josef, editor

Published
2017
Full Text
View/download PDF

17. Carnosic Acid Inhibits Herpes Simplex Virus Replication by Suppressing Cellular ATP Synthesis.

Author

Horváth, Georgina, Molnár, Edit, Szabó, Zoltán, Kecskeméti, Gábor, Juhász, László, Tallósy, Szabolcs Péter, Nyári, József, Bogdanov, Anita, Somogyvári, Ferenc, Endrész, Valéria, Burián, Katalin, and Virok, Dezső P.

Subjects
CARNOSIC acid, HERPES simplex virus, VIRAL replication, HERPES simplex, HUMAN herpesvirus 2, ADENOSINE triphosphate, CUCUMBER mosaic virus
Abstract

Acquiring resistance against antiviral drugs is a significant problem in antimicrobial therapy. In order to identify novel antiviral compounds, the antiviral activity of eight plants indigenous to the southern region of Hungary against herpes simplex virus-2 (HSV-2) was investigated. The plant extracts and the plant compound carnosic acid were tested for their effectiveness on both the extracellular and intracellular forms of HSV-2 on Vero and HeLa cells. HSV-2 replication was measured by a direct quantitative PCR (qPCR). Among the tested plant extracts, Salvia rosmarinus (S. rosmarinus) exhibited a 90.46% reduction in HSV-2 replication at the 0.47 μg/mL concentration. Carnosic acid, a major antimicrobial compound found in rosemary, also demonstrated a significant dose-dependent inhibition of both extracellular and intracellular forms of HSV-2. The 90% inhibitory concentration (IC90) of carnosic acid was between 25 and 6.25 μg/mL. Proteomics and high-resolution respirometry showed that carnosic acid suppressed key ATP synthesis pathways such as glycolysis, citrate cycle, and oxidative phosphorylation. Inhibition of oxidative phosphorylation also suppressed HSV-2 replication up to 39.94-fold. These results indicate that the antiviral action of carnosic acid includes the inhibition of ATP generation by suppressing key energy production pathways. Carnosic acid holds promise as a potential novel antiviral agent against HSV-2. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

18. One Click Cloud Orchestrator: Bringing Complex Applications Effortlessly to the Clouds

Author

Kecskemeti, Gabor, Gergely, Mark, Visegrádi, Ádám, Nemeth, Zsolt, Kovacs, Jozsef, Kacsuk, Péter, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Lopes, Luís, editor, Žilinskas, Julius, editor, Costan, Alexandru, editor, Cascella, Roberto G., editor, Kecskemeti, Gabor, editor, Jeannot, Emmanuel, editor, Cannataro, Mario, editor, Ricci, Laura, editor, Benkner, Siegfried, editor, Petit, Salvador, editor, Scarano, Vittorio, editor, Gracia, José, editor, Hunold, Sascha, editor, Scott, Stephen L., editor, Lankes, Stefan, editor, Lengauer, Christian, editor, Carretero, Jesús, editor, Breitbart, Jens, editor, and Alexander, Michael, editor

Published
2014
Full Text
View/download PDF

19. Foundations for Simulating IoT Control Mechanisms with a Chemical Analogy

Author

Kecskemeti, Gabor, Nemeth, Zsolt, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Mandler, Benny, editor, Marquez-Barja, Johann, editor, Mitre Campista, Miguel Elias, editor, Cagáňová, Dagmar, editor, Chaouchi, Hakima, editor, Zeadally, Sherali, editor, Badra, Mohamad, editor, Giordano, Stefano, editor, Fazio, Maria, editor, Somov, Andrey, editor, and Vieriu, Radu-Laurentiu, editor

Published
2016
Full Text
View/download PDF

23. Structural Adaptation of the Single-Stranded DNA-Binding Protein C-Terminal to DNA Metabolizing Partners Guides Inhibitor Design

Author

Tököli, Attila, primary, Bodnár, Brigitta, additional, Bogár, Ferenc, additional, Paragi, Gábor, additional, Hetényi, Anasztázia, additional, Bartus, Éva, additional, Wéber, Edit, additional, Hegedüs, Zsófia, additional, Szabó, Zoltán, additional, Kecskeméti, Gábor, additional, Szakonyi, Gerda, additional, and Martinek, Tamás A., additional

Published
2023
Full Text
View/download PDF

24. Multi-layered Monitoring and Adaptation

Author

Guinea, Sam, Kecskemeti, Gabor, Marconi, Annapaola, Wetzstein, Branimir, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kappel, Gerti, editor, Maamar, Zakaria, editor, and Motahari-Nezhad, Hamid R., editor

Published
2011
Full Text
View/download PDF

27. Analytical Quality Assurance

Author

Metzger, Andreas, Benbernou, Salima, Carro, Manuel, Driss, Maha, Kecskemeti, Gabor, Kazhamiakin, Raman, Krytikos, Kyriakos, Mocci, Andrea, Di Nitto, Elisabetta, Wetzstein, Branimir, Silvestri, Fabrizio, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Papazoglou, Mike P., editor, Pohl, Klaus, editor, Parkin, Michael, editor, and Metzger, Andreas, editor

Published
2010
Full Text
View/download PDF

28. Architectures & Infrastructure

Author

André, Françoise, Brandic, Ivona, Daubert, Erwan, Gauvrit, Guillaume, Giordano, Maurizio, Kecskemeti, Gabor, Kertész, Attila, Di Napoli, Claudia, Nemeth, Zsolt, Pazat, Jean-Louis, Psaier, Harald, Renz, Wolfgang, Sudeikat, Jan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Papazoglou, Mike P., editor, Pohl, Klaus, editor, Parkin, Michael, editor, and Metzger, Andreas, editor

Published
2010
Full Text
View/download PDF

37. Additional file 1 of Clinical relevance of depressed kynurenine pathway in episodic migraine patients: potential prognostic markers in the peripheral plasma during the interictal period

Author

Tuka, Bernadett, Nyári, Aliz, Cseh, Edina Katalin, Körtési, Tamás, Veréb, Dániel, Tömösi, Ferenc, Kecskeméti, Gábor, Janáky, Tamás, Tajti, János, and Vécsei, László

Abstract

Additional file 1: Supplementary Description 1. Details of the PLS-LDA method.

Published
2021
Full Text
View/download PDF

43. Development of Meloxicam-Human Serum Albumin Nanoparticles for Nose-to-Brain Delivery via Application of a Quality by Design Approach

Author

Katona, Gábor, primary, Balogh, György Tibor, additional, Dargó, Gergő, additional, Gáspár, Róbert, additional, Márki, Árpád, additional, Ducza, Eszter, additional, Sztojkov-Ivanov, Anita, additional, Tömösi, Ferenc, additional, Kecskeméti, Gábor, additional, Janáky, Tamás, additional, Kiss, Tamás, additional, Ambrus, Rita, additional, Pallagi, Edina, additional, Szabó-Révész, Piroska, additional, and Csóka, Ildikó, additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results