Name
Abstract | ||
|---|---|---|
Effective and efficient mapping algorithms for multisite parallel applications are fundamental to exploit the potentials of grid computing. Since the problem of optimally mapping is NP-complete, evolutionary techniques can help to find near-optimal solutions. Here a multiobjective Differential Evolution is investigated to face the mapping problem in a grid environment aiming at reducing the degree of use of the grid resources while, at the same time, maximizing Quality of Service requirements in terms of reliability. The proposed mapper is tested on different scenarios. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-75444-2_34 | HPCC |
Keywords | Field | DocType |
grid computing,grid resource,multiobjective differential evolution,service requirement,evolutionary technique,different scenario,grid environment,optimally mapping,mapping problem,efficient mapping algorithm,differential evolution,quality of service | Grid computing,Computer science,Quality of service,Exploit,Differential evolution,Mapping algorithm,Grid,Grid resources,Distributed computing | Conference |
Volume | ISSN | ISBN |
4782 | 0302-9743 | 3-540-75443-1 |
Citations | PageRank | References |
4 | 0.37 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivanoe De Falco | 1 | 242 | 34.58 |
| Antonio Della Cioppa | 2 | 141 | 20.70 |
| Umberto Scafuri | 3 | 116 | 16.33 |
| Ernesto Tarantino | 4 | 361 | 42.45 |