An adaptable in-advance and fairshare meta-scheduling architecture to improve grid QoS

• 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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