His primary areas of investigation include Distributed computing, Cloud computing, Computer network, Scheduling and Efficient energy use. The Distributed computing study which covers Fair-share scheduling that intersects with Dynamic priority scheduling. His biological study spans a wide range of topics, including Service provider and Mobile device.
His work on Mobile ad hoc network as part of general Computer network study is frequently linked to Scale, Dielectric antennas and Load distribution, therefore connecting diverse disciplines of science. His research in Mobile ad hoc network intersects with topics in Wireless ad hoc network and Vehicular ad hoc network. His study on Efficient energy use also encompasses disciplines like
Pascal Bouvry mostly deals with Distributed computing, Cloud computing, Computer network, Mathematical optimization and Wireless ad hoc network. Pascal Bouvry combines subjects such as Scalability, Energy consumption, Heuristics, Scheduling and Server with his study of Distributed computing. His research investigates the connection between Energy consumption and topics such as Efficient energy use that intersect with issues in Data center.
The Cloud computing study combines topics in areas such as Quality of service and Virtual machine. His Wireless ad hoc network study incorporates themes from Mobile ad hoc network and Broadcasting. His Evolutionary algorithm research focuses on Genetic algorithm and how it relates to Artificial intelligence.
The scientist’s investigation covers issues in Cloud computing, Distributed computing, Swarm behaviour, Mathematical optimization and Artificial intelligence. His Cloud computing research is multidisciplinary, incorporating elements of Quality, Quality of service, Scheduling and Computational complexity theory. Service is closely connected to Multi-objective optimization in his research, which is encompassed under the umbrella topic of Distributed computing.
His work carried out in the field of Swarm behaviour brings together such families of science as Chaotic, Ant colony and Mobility model. In general Mathematical optimization study, his work on Metaheuristic and Heuristics often relates to the realm of Hyper-heuristic, thereby connecting several areas of interest. In the field of Artificial intelligence, his study on Deep learning and Convolutional neural network overlaps with subjects such as Swarming.
Pascal Bouvry spends much of his time researching Distributed computing, Cloud computing, Mobility model, Scalability and Chaotic. His Distributed computing study combines topics in areas such as Ubiquitous network, Virtualization and Workflow scheduling. His research integrates issues of Energy consumption, Linear programming and Activity-based costing in his study of Cloud computing.
Pascal Bouvry works mostly in the field of Energy consumption, limiting it down to concerns involving Wearable computer and, occasionally, Mobile device. As a part of the same scientific study, Pascal Bouvry usually deals with the Mobility model, concentrating on Swarm behaviour and frequently concerns with Ant colony. In his work, Software engineering and Edge computing is strongly intertwined with Quality of service, which is a subfield of Scalability.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
GreenCloud: a packet-level simulator of energy-aware cloud computing data centers
Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
The Journal of Supercomputing (2012)
GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers
Dzmitry Kliazovich;Pascal Bouvry;Yury Audzevich;Samee Ullah Khan.
global communications conference (2010)
DENS: Data Center Energy-Efficient Network-Aware Scheduling
Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
green computing and communications (2010)
An overview of energy efficiency techniques in cluster computing systems
Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah.
Cluster Computing (2013)
Energy-efficient data replication in cloud computing datacenters
Dejene Boru;Dzmitry Kliazovich;Fabrizio Granelli;Pascal Bouvry.
ieee international conference on cloud computing technology and science (2015)
Particle swarm optimization: Hybridization perspectives and experimental illustrations
Radha Thangaraj;Millie Pant;Ajith Abraham;Pascal Bouvry.
Applied Mathematics and Computation (2011)
Management of an academic HPC cluster: The UL experience
Sébastien Varrette;Pascal Bouvry;Hyacinthe Cartiaux;Fotis Georgatos.
high performance computing systems and applications (2014)
An Overview of MANETs Simulation
Luc Hogie;Pascal Bouvry;Frédéric Guinand.
Electronic Notes in Theoretical Computer Science (2006)
Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies
B Dorronsoro;P Bouvry.
IEEE Transactions on Evolutionary Computation (2011)
Cellular automata computations and secret key cryptography
Franciszek Seredynski;Pascal Bouvry;Albert Y. Zomaya.
parallel computing (2004)
Profile was last updated on December 6th, 2021.
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