Workload resampling for performance evaluation of parallel job schedulers

Netanel Zakay, Dror G. Feitelson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Evaluating the performance of a computer system is based on using representative workloads. Common practice is to either use real workload traces to drive simulations, or else to use statistical workload models that are based on such traces. Such models allow various workload attributes to be manipulated, thus providing desirable flexibility, but may lose details of the workload's internal structure. To overcome this, we suggest to combine the benefits of real traces and flexible modeling. Focusing on the problem of evaluating the performance of parallel job schedulers, we partition each trace into independent subtraces representing different users, and then re-combine them in various ways, while maintaining features like the daily and weekly cycles of activity. This facilitates the creation of longer workload traces that enable longer simulations, the creation of multiple statistically similar workloads that can be used to gauge confidence intervals, and the creation of workloads with different load levels.

Original languageAmerican English
Title of host publicationICPE 2013 - Proceedings of the 2013 ACM/SPEC International Conference on Performance Engineering
Pages149-159
Number of pages11
DOIs
StatePublished - 2013
Event2013 4th ACM/SPEC International Conference on Performance Engineering, ICPE 2013 - Prague, Czech Republic
Duration: 21 Apr 201324 Apr 2013

Publication series

NameICPE 2013 - Proceedings of the 2013 ACM/SPEC International Conference on Performance Engineering

Conference

Conference2013 4th ACM/SPEC International Conference on Performance Engineering, ICPE 2013
Country/TerritoryCzech Republic
CityPrague
Period21/04/1324/04/13

Keywords

  • resampling
  • simulation
  • workload trace

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