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Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment

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Job Scheduling Strategies for Parallel Processing (JSSPP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2862))

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Abstract

Most previous research on job scheduling for heterogeneous systems considers a scenario where each job or task is mapped to a single processor. On the other hand, research on parallel job scheduling has concentrated primarily on the homogeneous context. In this paper, we address the scheduling of parallel jobs in a heterogeneous multi-site environment, where each site has a homogeneous cluster of processors, but processors at different sites have different speeds. Starting with a simple greedy scheduling strategy, we propose and evaluate several enhancements using trace driven simulations. We consider the use of multiple simultaneous reservations at different sites, use of relative job efficacy as a queuing priority, and compare the use of conservative versus aggressive backfilling. Unlike the single-site case, conservative backfilling is found to be consistently superior to aggressive backfilling for the heterogeneous multi-site environment.

Supported in part by NSF grant EIA-9986052

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Author information

Authors and Affiliations

  1. The Ohio State University, Columbus, OH, 43201, USA

    Gerald Sabin, Rajkumar Kettimuthu, Arun Rajan & Ponnuswamy Sadayappan

Authors
  1. Gerald Sabin
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  2. Rajkumar Kettimuthu
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  3. Arun Rajan
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  4. Ponnuswamy Sadayappan
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Editor information

Editors and Affiliations

  1. Department of Computer Science, The Hebrew University of Jerusalem,  

    Dror Feitelson

  2. Massachusetts Institute of Technology, 77 Massachusetts Avenue, MA 02139, Cambridge, USA

    Larry Rudolph

  3. No Affiliations,,  

    Uwe Schwiegelshohn

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© 2003 Springer-Verlag Berlin Heidelberg

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Sabin, G., Kettimuthu, R., Rajan, A., Sadayappan, P. (2003). Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment. In: Feitelson, D., Rudolph, L., Schwiegelshohn, U. (eds) Job Scheduling Strategies for Parallel Processing. JSSPP 2003. Lecture Notes in Computer Science, vol 2862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10968987_5

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  • DOI: https://doi.org/10.1007/10968987_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20405-3

  • Online ISBN: 978-3-540-39727-4

  • eBook Packages: Springer Book Archive

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