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Cluster Computing and the Grid, IEEE International Symposium on (2008)
May 19, 2008 to May 22, 2008
ISBN: 978-0-7695-3156-4
pp: 324-331
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 virtualized 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 guarantees a timely resource slot allocation. Experimental results 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.
high performance distributed computing, resource abstraction, resource virtualization, resource provisioning

Y. Kee and C. Kesselman, "Grid Resource Abstraction, Virtualization, and Provisioning for Time-Targeted Applications," 2008 8th International Symposium on Cluster Computing and the Grid (CCGRID '08)(CCGRID), Lyon, 2008, pp. 324-331.
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