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Paper ID: 1468

Can Intelligent Optimisation Techniques Improve Computing Job Scheduling In A Grid Environment? Review, Problem and Proposal
Carsten,Maple Nik,Bessis Tim,French Wei,Huang

Appeared in: Proceedings of the UK e-Science All Hands Conference 2006 website: http://www.allhands.org.uk/2006/
Page Numbers:328 - 332
Publisher: National e-Science Centre
Year: 2006
ISBN/ISSN: 0-9553988-0-0
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2006/proceedings/papers/596.pdf

Abstract: In the existing Grid scheduling literature, the reported methods and strategies are mostly related to high-level schedulers such as global schedulers, external schedulers, data schedulers, and cluster schedulers. Although a number of these have previously considered job scheduling, thus far only relatively simple queue-based policies such as First In First Out (FIFO) have been considered for local job scheduling within Grid contexts. Our initial research shows that it is worth investigating the potential impact on the performance of the Grid when intelligent optimisation techniques are applied to local scheduling policies. The research problem is defined, and a basic research methodology with a detailed roadmap is presented. This paper forms a proposal with the intention of exchanging ideas and seeking potential collaborators.

Keywords: e-Science, AHM 2006


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