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Exploiting fine-grained idle periods in networks of workstations

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2 Author(s)
Kyung Dong Ryu ; Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA ; Hollingsworth, J.K.

Studies have shown that for 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 a cluster by 60 percent with only a 0.5 percent slowdown of local jobs. For parallel computing, we show that the Linger-Longer policy outperforms reconfiguration strategies when the processor utilization by the local process is 20 percent or less in both synthetic bulk synchronous and real data-parallel applications

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Parallel and Distributed Systems, IEEE Transactions on  (Volume:11 ,  Issue: 7 )