Title: Adaptive time/space sharing with SCOJO

Authors: Angela C. Sodan, Xuemin Huang

Addresses: School of Computer Science, University of Windsor, Ontario N9B 3P4, Canada. ' School of Computer Science, University of Windsor, Ontario N9B 3P4, Canada

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.

Keywords: job scheduling; parallel systems; adaptive resource allocation; system load adaptation; fragmentation reduction; time sharing; space sharing; high performance computing.

DOI: 10.1504/IJHPCN.2006.013481

International Journal of High Performance Computing and Networking, 2006 Vol.4 No.5/6, pp.256 - 269

Available online: 01 May 2007 *

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