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15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)
A Distributed Differential Evolution Approach for Mapping in a Grid Environment
Naples, Italy
February 07-February 09
ISBN: 0-7695-2784-1
I. De Falco, National Research Council of Italy
U. Scafuri, National Research Council of Italy
E. Tarantino, National Research Council of Italy
A. Della Cioppa, University of Salerno, Italy
Increase in intensive applications with different computational requirements, coupled with the unification of remote and diverse resources thanks to advances in the wide- area network technologies and the low cost of components, have encouraged the development of grid computing. To exploit the promising potentials of geographically distributed resources, effective and efficient mapping algorithms are fundamental. Since the problem of optimally mapping is NP-complete, the development of evolutionary techniques to find near-optimal solutions is welcome. In this paper a distributed system based on Differential Evolution is designed and implemented to face the mapping problem in a grid environment aiming at reducing the degree of use of the grid resources. This system is tested on some different resource allocation scenarios.
Citation:
I. De Falco, U. Scafuri, E. Tarantino, A. Della Cioppa, "A Distributed Differential Evolution Approach for Mapping in a Grid Environment," pdp, pp.442-449, 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP'07), 2007
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