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Fine-Grain Cycle Stealing for Networks of Workstations

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2 Author(s)
Kyung Dong Ryu ; University of Maryland ; Hollingsworth, J.K.

Studies have shown that a significant fraction of the time, workstations are idle. In this paper we present a new scheduling policy called Linger-Longer that exploits the fine-grained availability of workstations to run sequential and parallel jobs. We present a two-level workload characterization study and use it to simulate a cluster of workstations running our new policy. We compare two variations of our policy to two previous policies: Immediate- Eviction and Pause-and-Migrate. Our study shows that the Linger-Longer policy can improve the throughput of foreign jobs on cluster by 60% with only a 0.5% slowdown of foreground jobs. For parallel computing, we showed that the Linger-Longer policy outperforms reconfiguration strategies when the processor utilization by the local process is 20% or less in both synthetic bulk synchronous and real data-parallel applications

Published in:

Supercomputing, 1998.SC98. IEEE/ACM Conference on

Date of Conference:

07-13 Nov. 1998