Pitfalls in parallel job scheduling evaluation

Eitan Frachtenberg*, Dror G. Feitelson

*Corresponding author for this work

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

49 Scopus citations

Abstract

There are many choices to make when evaluating the performance of a complex system. In the context of parallel job scheduling, one must decide what workload to use and what measurements to take. These decisions sometimes have subtle implications that are easy to overlook. In this paper we document numerous pitfalls one may fall into, with the hope of providing at least some help in avoiding them. Along the way, we also identify topics that could benefit from additional research.

Original languageAmerican English
Title of host publicationJob Scheduling Strategies for Parallel Processing - 11th International Workshop, JSSPP 2005, Revised Selected Papers
Pages257-282
Number of pages26
StatePublished - 2006
Event11th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2005 - Cambridge, MA, United States
Duration: 19 Jun 200519 Jun 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3834 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2005
Country/TerritoryUnited States
CityCambridge, MA
Period19/06/0519/06/05

Keywords

  • Dynamic workload
  • Experimental methodology
  • Parallel job scheduling
  • Performance evaluation
  • Simulation
  • Static workload

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