Name
Abstract | ||
|---|---|---|
Decentralized economic models are being considered as scalable coordination mechanism for the management of service allocations to clients. However, decentralization incorporates further dynamicity and unpredictability into the system, degrading its performance. In this paper, a solution based on a self-organized and emergent Group Selection mechanism is proposed. Dynamic congregations evolve Grid Markets participants (c and service providers) into optimized market segments, maximizing utility outcomes for system-wide performance. We provide evaluation by simulation of the Group Selection mechanism performance in a market-based resource management and job scheduling scenario for Grid computing, compared with alternative scheduling strategies such as economic in a flat population (not using groups), random and least loaded resource selection. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76888-3_19 | OTM Workshops (1) |
Keywords | Field | DocType |
job scheduling scenario,decentralized economic model,grid markets participant,scalable coordination mechanism,loaded resource selection,grid computing,alternative scheduling strategy,emergent group selection mechanism,group selection pattern,group selection mechanism performance,system-wide performance,decentralized grid market,economic model,resource manager,service provider,job scheduling,group selection,self organization,market segmentation | Resource management,Population,Grid computing,Market segmentation,Scheduling (computing),Computer science,Operations research,Knowledge management,Service provider,Job scheduler,Grid | Conference |
Volume | ISSN | ISBN |
4805 | 0302-9743 | 3-540-76887-4 |
Citations | PageRank | References |
2 | 0.38 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isaac Chao | 1 | 297 | 20.74 |
| Oscar Ardaiz | 2 | 115 | 16.71 |
| Ramon Sangüesa | 3 | 231 | 22.46 |