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Extensible resource management for cluster computing

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5 Author(s)
N. Islam ; Res. Div., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; A. L. Prodromidis ; M. S. Squillante ; L. L. Fong
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Advanced general purpose parallel systems should be able to support diverse applications with different resource requirements without compromising effectiveness and efficiency. We present a resource management model for cluster computing that allows multiple scheduling policies to co-exist dynamically. In particular, we have built Octopus, an extensible and distributed hierarchical scheduler that implements new space sharing, gang scheduling and load sharing strategies. A series of experiments performed on an IBM SP2 suggest that Octopus can effectively match application requirements to available resources, and improve the performance of a variety of parallel applications within a cluster

Published in:

Distributed Computing Systems, 1997., Proceedings of the 17th International Conference on

Date of Conference:

27-30 May 1997