Name
Abstract | ||
|---|---|---|
Large-scale individual-based simulations can benefit a lot from high performance computing environments. The benefit that can be hopped for depends greatly on a good load distribution among the processing resources together with the minimization of the communication overhead. However, minimizing both idle time and communication overhead requires the search for a trade-off. Inspired by complex systems, the approach described in this paper aims at minimizing the volume of data exchanged over the network between tasks of a distributed application, while balancing the load between available computing ressources. The method lies on the trail-laying trail-following paradigm used in algorithms based on artificial ants. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.3233/MGS-2007-3109 | Multiagent and Grid Systems |
Keywords | Field | DocType |
complex system,dynamic load balancing,artificial ant,communication overhead,trail-laying trail-following paradigm,good load distribution,organization detection,large-scale individual-based simulation,idle time,available computing ressources,processing resource,high performance computing environment,distributed application,complex systems,data exchange,self organization,artificial ants,load distribution | Complex system,Supercomputer,Computer science,Self-organization,Real-time computing,Minification,Dynamic load balancing,Artificial Ants,Idle time,Distributed computing | Journal |
Volume | Issue | ISSN |
3 | 1 | 1574-1702 |
Citations | PageRank | References |
2 | 0.41 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cyrille Bertelle | 1 | 81 | 20.42 |
| Antoine Dutot | 2 | 20 | 4.53 |
| Fré/dé/ric Guinand | 3 | 2 | 0.41 |
| Damien Olivier | 4 | 42 | 6.95 |