Adaptive time/space sharing with SCOJO Online publication date: Tue, 01-May-2007
by Angela C. Sodan, Xuemin Huang
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 4, No. 5/6, 2006
Abstract: Time-shared execution of parallel jobs via gang scheduling is known to yield better average response times than space sharing. We incorporate adaptive CPU/node-resource allocation to consider varying system load and to reduce fragmentation. As main innovations, our SCOJO approach provides a clear model how to adapt, and considers realistic job mixes with moldable, malleable and rigid jobs. Our adaptive SCOJO significantly decreases response times and average slowdowns, while using a lower multiprogramming level than standard gang scheduling uses best and, therefore, decreasing the memory pressure. These benefits apply though the realistic job mixes limit the flexibility in resource allocation.
Online publication date: Tue, 01-May-2007
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