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An adaptable in-advance and fairshare meta-scheduling architecture to improve grid QoS
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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2011 (English)In: Grid Computing (GRID), 2011 12th IEEE/ACM International Conference on, 2011, 220-221 p.Conference paper, Published paper (Refereed)
Abstract [en]

Grids are highly variable heterogeneous systems where resources may span multiple administrative domains and utilize heterogeneous schedulers, which complicates enforcement of end-user resource utilization quotas. This work focuses on enhancement of resource utilization quality of service through combination of two systems. A predictive meta-scheduling framework and a distributed fairs hare job prioritization system. The first, SA-Layer, is a system designed to provide scheduling of jobs in advance by ensuring resource availability for future job executions. The second, FS Grid, provides an efficient mechanism for fairs hare-based job prioritization. The integrated architecture presented in this work combines the strengths of both systems and improves perceived end-user quality of service by providing reliable resource allocations adhering to usage allocation policies.

Place, publisher, year, edition, pages
2011. 220-221 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-51028DOI: 10.1109/Grid.2011.37OAI: oai:DiVA.org:umu-51028DiVA: diva2:474216
Conference
Grid 2011: 12th IEEE/ACM International Conference on Grid Computing, 22-23 September 2011, Lyon France
Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2012-02-01Bibliographically approved

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CiteExportLink to record
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  • apa
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