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Concurrent scheduling of parallel task graphs on multi-clusters using constrained resource allocations

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2 Author(s)
N'Takpe, T. ; LORIA, Nancy Univ., Nancy, France ; Suter, F.

Scheduling multiple applications on heterogeneous multi-clusters is challenging as the different applications have to compete for resources. A scheduler thus has to ensure a fair distribution of resources among the applications and prevent harmful selfish behaviors while still trying to minimize their respective completion time. In this paper we consider mixed-parallel applications, represented by graphs whose nodes are data-parallel tasks, that are scheduled in two steps: allocation and mapping. We investigate several strategies to constrain the amount of resources the scheduler can allocate to each application and evaluate them over a wide range of scenarios.

Published in:

Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on

Date of Conference:

23-29 May 2009