H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 40 Citations 8,762 401 World Ranking 4577 National Ranking 6

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Artificial intelligence

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

  • Computer cluster and Mathematical optimization most often made with reference to Energy consumption,
  • Data center which connect with Server.

His most cited work include:

  • GreenCloud: a packet-level simulator of energy-aware cloud computing data centers (397 citations)
  • GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers (232 citations)
  • DENS: Data Center Energy-Efficient Network-Aware Scheduling (201 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Distributed computing (31.22%)
  • Cloud computing (17.11%)
  • Computer network (16.23%)

What were the highlights of his more recent work (between 2017-2021)?

  • Cloud computing (17.11%)
  • Distributed computing (31.22%)
  • Swarm behaviour (3.00%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (90 citations)
  • Chaos-enhanced mobility models for multilevel swarms of UAVs (30 citations)
  • A Scalable Parallel Cooperative Coevolutionary PSO Algorithm for Multi-objective Optimization (20 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Artificial intelligence

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.

Top Publications

GreenCloud: a packet-level simulator of energy-aware cloud computing data centers

Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
The Journal of Supercomputing (2012)

900 Citations

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)

469 Citations

DENS: Data Center Energy-Efficient Network-Aware Scheduling

Dzmitry Kliazovich;Pascal Bouvry;Samee Ullah Khan.
green computing and communications (2010)

306 Citations

An overview of energy efficiency techniques in cluster computing systems

Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah.
Cluster Computing (2013)

257 Citations

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)

247 Citations

Particle swarm optimization: Hybridization perspectives and experimental illustrations

Radha Thangaraj;Millie Pant;Ajith Abraham;Pascal Bouvry.
Applied Mathematics and Computation (2011)

247 Citations

Management of an academic HPC cluster: The UL experience

Sébastien Varrette;Pascal Bouvry;Hyacinthe Cartiaux;Fotis Georgatos.
high performance computing systems and applications (2014)

247 Citations

An Overview of MANETs Simulation

Luc Hogie;Pascal Bouvry;Frédéric Guinand.
Electronic Notes in Theoretical Computer Science (2006)

195 Citations

Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies

B Dorronsoro;P Bouvry.
IEEE Transactions on Evolutionary Computation (2011)

160 Citations

Cellular automata computations and secret key cryptography

Franciszek Seredynski;Pascal Bouvry;Albert Y. Zomaya.
parallel computing (2004)

155 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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