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Yang-Suk Kee and Carl Kessleman (2008)

Grid Resource Abstraction, Virtualization, and Provisioning for Time-targeted Applications

In: ACM/IEEE International Symposium on Cluster Computing and the Grid (CCGRID'08).

As a variety of science applications are integrated with large-scale HPDC (High Performance Distributed Com-puting) technologies, timely resource allocation is re-vealed as a critical requirement to be considered. This paper introduces a new HPDC resource management paradigm named resource slot which defines a network of logical machines across time and space. A resource slot is not only a resource programming target but also a virtu-alized resource provisioning framework for a variety of resource management paradigms by encapsulating the resource management complexity. Especially, we present a resource provisioning technique named guided redun-dant submission (GRS), which probabilistically guaran-tees a timely resource slot allocation. Experimental re-sults performed against 8 clusters in production show that about 5 redundant resources per slot can secure slot allo-cation with up to 36 logical machines, each cluster having an availability probability as low as 0.25 and the target success probability of slot allocation is 0.95.

by Yang-suk Kee last modified 2008-05-15 11:10
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VGrADS Collaborators include:

Rice University UCSD UH UCSB UTK ISI UTK

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