• DocumentCode
    382744
  • Title

    Selective preemption strategies for parallel job scheduling

  • Author

    Kettimuthu, Rajkumar ; Subramani, Vijay ; Srinivasan, Srividya ; Gopalasamy, Thiagaraja ; Panda, D.K. ; Sadayappan, P.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    602
  • Lastpage
    610
  • Abstract
    Although theoretical results have been established regarding the utility of pre-emptive scheduling in reducing average job turn-around time, job suspension/restart is not much used in practice at supercomputer centers for parallel job scheduling. A number of questions remain unanswered regarding the practical utility of pre-emptive scheduling. We explore this issue through a simulation-based study, using job logs from a supercomputer center We develop a tunable selective-suspension strategy, and demonstrate its effectiveness. We also present new insights into the effect of pre-emptive scheduling on different job classes and address the impact of suspensions on worst-case slowdown.
  • Keywords
    parallel machines; probability; processor scheduling; job logs; parallel job scheduling; preemptive scheduling; probability; supercomputer; tunable selective-suspension strategy; workload characterization; worst case slowdown; Concurrent computing; Information science; Laboratories; Performance evaluation; Processor scheduling; Runtime; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2002. Proceedings. International Conference on
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-1677-7
  • Type

    conf

  • DOI
    10.1109/ICPP.2002.1040918
  • Filename
    1040918