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Your search keyword '"Iordache, George V."' showing total 7 results
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7 results on '"Iordache, George V."'

2. Smardy: Zero-Trust FAIR Marketplace for Research Data

Author

Filip, Ion-Dorinel, primary, Ionite, Cosmin, additional, Gonzalez-Cebrian, Alba, additional, Balanescu, Mihaela, additional, Dobre, Ciprian, additional, Chis, Adriana E., additional, Feenan, Dave, additional, Buga, Adrian-Alexandru, additional, Constantin, Ioan-Mihai, additional, Suciu, George, additional, Iordache, George V., additional, and Gonzalez-Velez, Horacio, additional

Published
2022
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3. A Decentralized Strategy for Genetic Scheduling in Heterogeneous Environments

Author

Iordache, George V., Boboila, Marcela S., Pop, Florin, Stratan, Corina, Cristea, Valentin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Meersman, Robert, editor, and Tari, Zahir, editor

Published
2006
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6. A Decentralized Strategy for Genetic Scheduling in Heterogeneous Environments.

Author

Meersman, Robert, Tari, Zahir, Iordache, George V., Boboila, Marcela S., Pop, Florin, Stratan, Corina, and Cristea, Valentin

Abstract

The paper describes a solution to the key problem of ensuring high performance behavior of the Grid, namely the scheduling of activities. It presents a distributed, fault-tolerant, scalable and efficient solution for optimizing task assignment. The scheduler uses a combination of genetic algorithms and lookup services for obtaining a scalable and highly reliable optimization tool. The experiments have been carried out on the MonALISA monitoring environment and its extensions. The results demonstrate very good behavior in comparison with other scheduling approaches. Keywords: grid computing, scheduling, load-balancing, genetic algorithms. [ABSTRACT FROM AUTHOR]

Published
2006
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7. Event-based sensor data exchange and fusion in the Internet of Things environments

Author

Massimo Ficco, Christian Esposito, Aniello Castiglione, Ciprian Dobre, Florin Pop, Francesco Palmieri, George Iordache, Esposito, Christiancarmine, Castiglione, Aniello, Palmieri, Francesco, Ficco, Massimo, Dobre, C., Iordache, G. V., Pop, F., Esposito, Christian, Dobre, Ciprian, Iordache, George V., and Pop, Florin

Subjects
Sensor data fusion, Computer science, Computer Networks and Communications, Big data, 02 engineering and technology, Publish/subscribe service, Computer security, computer.software_genre, Theoretical Computer Science, Theory of evidence, Home automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Trust management (information system), Trust management, business.industry, Event (computing), 020206 networking & telecommunications, Automatic schema matching, Sensor fusion, Computer Networks and Communication, Data exchange, Information and Communications Technology, Hardware and Architecture, 020201 artificial intelligence & image processing, business, Communications protocol, Beaconing, Software, computer, Efficient energy use
Abstract

Internet of Things (IoT) is a promising technology for improving our lives and society by integrating smart devices in our environment and paving the way for novel ICT application, spanning from smart cities to energy efficiency and home automation. However, such a vision encompasses the availability of thousands of smart devices, or even more, that continuously exchange a huge volume of data among each other and with cloud-based services, raising a big data problem. Such a problem can be approached by properly applying data fusion practices within an IoT infrastructure. Due to the characteristics and peculiarities of the communications among smart devices within the IoT, an event-based data fusion is needed, where devices exchange notifications of events among each others. Such data fusion should be focused on special devices where notification heterogeneity, and data source trust issues have to be faced with. Accordingly, the contribution of this work is proposing (i) a novel broker-less event-based communication protocol specifically tailored to sensors with constrained resources, (ii) a solution for flexible event-based communications among heterogeneous data sources, and (iii) an approach based on the theory of evidence for data fusion processes that depend on the matching and trust degree of the data to be fused.

Published
2018

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