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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Chao, I., Ardaiz, O., & Sangüesa, R. (2007). A group selection pattern optimizing job scheduling in decentralized grid markets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4805 LNCS, pp. 37–39). Springer Verlag. https://doi.org/10.1007/978-3-540-76888-3_19
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