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An adaptable in-adv...
An adaptable in-advance and fairshare meta-scheduling architecture to improve grid QoS
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Tomas, L (author)
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- Östberg, Per-Olov (author)
- Umeå universitet,Institutionen för datavetenskap
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Caminero, B. (author)
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Carrion, C. (author)
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- Elmroth, Erik (author)
- Umeå universitet,Institutionen för datavetenskap,UMIT
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(creator_code:org_t)
- 2011
- 2011
- English.
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In: Grid Computing (GRID), 2011 12th IEEE/ACM International Conference on. ; , s. 220-221
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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