Extensible Resource Management for Cluster Computing
نویسندگان
چکیده
Advanced general-purpose parallel systems should be able to support diverse applications with diier-ent resource requirements without compromising eeec-tiveness and eeciency. We present a new 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 eeectively match application requirements to available resources, and improve the performance of a variety of parallel applications within a cluster.
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