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Parallel Job Scheduling under Dynamic Workloads

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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

Jobs that run on parallel systems that use gang scheduling for multiprogramming may interact with each other in various ways. These interactions are affected by system parameters such as the level of multiprogramming and the scheduling time quantum. A careful evaluation is therefore required in order to find parameter values that lead to optimal performance. We perform a detailed performance evaluation of three factors affecting scheduling systems running dynamic workloads: multiprogramming level, time quantum, and the use of backfilling for queue management — and how they depend on offered load. Our evaluation is based on synthetic MPI applications running on a real cluster that actually implements the various scheduling schemes. Our results demonstrate the importance of both components of the gang-scheduling plus backfilling combination: gang scheduling reduces response time and slowdown, and backfilling allows doing so with a limited multiprogramming level. This is further improved by using flexible coscheduling rather than strict gang scheduling, as this reduces the constraints and allows for a denser packing.

This work was supported by the U.S. Department of Energy through Los Alamos National Laboratory contract W-7405-ENG-36, and by the Israel Science Foundation (grant no. 219/99).

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Author information

Authors and Affiliations

  1. CCS-3 Modeling, Algorithms, and Informatics Group, Computer and Computational Sciences (CCS) Division, Los Alamos National Laboratory (LANL),  

    Eitan Frachtenberg, Juan Fernandez & Fabrizio Petrini

  2. School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel

    Eitan Frachtenberg & Dror G. Feitelson

Authors
  1. Eitan Frachtenberg
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  2. Dror G. Feitelson
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  3. Juan Fernandez
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  4. Fabrizio Petrini
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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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Frachtenberg, E., Feitelson, D.G., Fernandez, J., Petrini, F. (2003). Parallel Job Scheduling under Dynamic Workloads. 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_11

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  • DOI: https://doi.org/10.1007/10968987_11

  • 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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