Henri Casanova spends much of his time researching Distributed computing, Scheduling, Grid computing, Software and Fair-share scheduling. His Distributed computing research incorporates themes from Virtual machine, Heuristics, Server, Operating system and GridRPC. The study incorporates disciplines such as Symmetric multiprocessor system, Parallel algorithm and Data grid in addition to Scheduling.
His Grid computing research includes themes of Distributed data store, Software design and Gang scheduling. His research integrates issues of Microgrid and Workflow in his study of Software. As a part of the same scientific family, Henri Casanova mostly works in the field of Fair-share scheduling, focusing on Network topology and, on occasion, Network model and Distributed algorithm.
Henri Casanova mainly focuses on Distributed computing, Scheduling, Grid computing, Software and Heuristics. His studies in Distributed computing integrate themes in fields like Scalability, Resource allocation, Two-level scheduling, Fair-share scheduling and Computation. His studies examine the connections between Scheduling and genetics, as well as such issues in Parallel computing, with regards to Network topology.
As part of the same scientific family, he usually focuses on Grid computing, concentrating on Operating system and intersecting with GridRPC. His Software research is multidisciplinary, incorporating perspectives in Fault tolerance, Software engineering and Usability. His work deals with themes such as Linear programming, Computer cluster, Resource allocation and Heuristic, which intersect with Heuristics.
His main research concerns Distributed computing, Network topology, Supercomputer, Trajectory and Scheduling. His biological study spans a wide range of topics, including Scalability and Workflow. His Network topology study combines topics in areas such as Network simulation, Interconnection, Hop and Topology.
He combines subjects such as Message Passing Interface and File system with his study of Supercomputer. While the research belongs to areas of Message Passing Interface, Henri Casanova spends his time largely on the problem of Distributed memory, intersecting his research to questions surrounding Software engineering and Software. His work in the fields of Job shop scheduling and Fair-share scheduling overlaps with other areas such as Probability distribution.
His primary scientific interests are in Distributed computing, Network topology, Logical topology, Computer network and Supercomputer. His Distributed computing study frequently draws parallels with other fields, such as Cloud computing. His Network topology study frequently intersects with other fields, such as Network simulation.
His Computer network research integrates issues from System deployment and Electrical efficiency. As a part of the same scientific study, he usually deals with the Supercomputer, concentrating on Topology and frequently concerns with Floorplan. His Power graph analysis study spans across into fields like Interconnection, Optical switch, Parallel computing, Torus and Hypercube.
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.
NetSolve: a network server for solving computational science problems
Henri Casanova;Jack Dongarra.
conference on high performance computing (supercomputing) (1996)
Heuristics for scheduling parameter sweep applications in grid environments
H. Casanova;A. Legrand;D. Zagorodnov;F. Berman.
Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) (2000)
Adaptive computing on the Grid using AppLeS
F. Berman;R. Wolski;H. Casanova;W. Cirne.
IEEE Transactions on Parallel and Distributed Systems (2003)
Simgrid: a toolkit for the simulation of application scheduling
cluster computing and the grid (2001)
SimGrid: A Generic Framework for Large-Scale Distributed Experiments
Henri Casanova;Arnaud Legrand;Martin Quinson.
international conference on computer modeling and simulation (2008)
The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid
H. Casanova;F. Berman;G. Obertelli;R. Wolski.
conference on high performance computing (supercomputing) (2000)
Scheduling distributed applications: the SimGrid simulation framework
A. Legrand;L. Marchal;H. Casanova.
cluster computing and the grid (2003)
Netsolve: a Network-Enabled Server for Solving Computational Science Problems
Henri Casanova;Jack Dongarra.
ieee international conference on high performance computing data and analytics (1997)
Overview of GridRPC: A Remote Procedure Call API for Grid Computing
Keith Seymour;Hidemoto Nakada;Hidemoto Nakada;Satoshi Matsuoka;Satoshi Matsuoka;Jack Dongarra.
grid computing (2002)
Versatile, Scalable, and Accurate Simulation of Distributed Applications and Platforms
Henri Casanova;Arnaud Giersch;Arnaud Legrand;Martin Quinson.
Journal of Parallel and Distributed Computing (2014)
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.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: