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Characterization of Backfilling Strategies for Parallel Job Scheduling

Published: 18 August 2002 Publication History

Abstract

Although there is wide agreement that backfilling produces significant benefits in scheduling of parallel jobs, there is no clear consensus on which backfilling strategy is preferable e.g., should conservative backfilling be used or the more aggressive EASY backfilling scheme; should a First-Come First-Served (FCFS) queue-priority policy be used, or some other such as Shortest job First (SF) or eXpansion Factor (XF); In this paper, we use trace-based simulation to address these questions and glean new insights into the characteristics of backfilling strategies for job scheduling. We show that by viewing performance in terms of slowdowns and turnaround times of jobs within various categories based on their width (processor requestsize), length (job duration) and accuracy of the user's estimate of run time, some consistent trends may be observed.

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  • (2020)GIFTProceedings of the 18th USENIX Conference on File and Storage Technologies10.5555/3386691.3386702(103-120)Online publication date: 24-Feb-2020
  • (2019)The Effect of System Utilization on Application Performance VariabilityProceedings of the 9th International Workshop on Runtime and Operating Systems for Supercomputers10.1145/3322789.3328743(11-18)Online publication date: 17-Jun-2019
  • (2018)Online over time processing of combinatorial problemsConstraints10.1007/s10601-018-9287-423:3(310-334)Online publication date: 1-Jul-2018
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cover image Guide Proceedings
ICPPW '02: Proceedings of the 2002 International Conference on Parallel Processing Workshops
August 2002
ISBN:0769516807

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IEEE Computer Society

United States

Publication History

Published: 18 August 2002

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Cited By

View all
  • (2020)GIFTProceedings of the 18th USENIX Conference on File and Storage Technologies10.5555/3386691.3386702(103-120)Online publication date: 24-Feb-2020
  • (2019)The Effect of System Utilization on Application Performance VariabilityProceedings of the 9th International Workshop on Runtime and Operating Systems for Supercomputers10.1145/3322789.3328743(11-18)Online publication date: 17-Jun-2019
  • (2018)Online over time processing of combinatorial problemsConstraints10.1007/s10601-018-9287-423:3(310-334)Online publication date: 1-Jul-2018
  • (2016)Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation ConstraintsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2016.252824727:11(3269-3282)Online publication date: 1-Nov-2016
  • (2015)Energy-aware simulation of workflow execution in High Throughput Computing systemsProceedings of the 19th International Symposium on Distributed Simulation and Real Time Applications10.1109/DS-RT.2015.31(25-32)Online publication date: 14-Oct-2015
  • (2015)Energy-efficient, thermal-aware modeling and simulation of data centersAd Hoc Networks10.1016/j.adhoc.2014.11.00225:PB(535-553)Online publication date: 1-Feb-2015
  • (2015)Performance and energy aware scheduling simulator for HPCConcurrency and Computation: Practice & Experience10.1002/cpe.360727:17(5436-5459)Online publication date: 10-Dec-2015
  • (2010)Using inaccurate estimates accuratelyProceedings of the 15th international conference on Job scheduling strategies for parallel processing10.5555/1927648.1927660(208-221)Online publication date: 23-Apr-2010
  • (2008)Co-allocation with Communication Considerations in Multi-cluster SystemsProceedings of the 14th international Euro-Par conference on Parallel Processing10.1007/978-3-540-85451-7_27(243-252)Online publication date: 26-Aug-2008
  • (2007)Group-wise performance evaluation of processor co-allocation in multi-cluster systemsProceedings of the 13th international conference on Job scheduling strategies for parallel processing10.5555/1791551.1791553(24-36)Online publication date: 17-Jun-2007
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