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  • This paper has been inspired by the study of the complex data set from the Czech National Grid MetaCentrum. Unlike other widely used workloads from Parallel Workloads Archive or Grid Workloads Archive, this data set includes additional information concerning machine failures, job requirements and machine parameters which allows to perform more realistic simulations. We show that large differences in the performance of various scheduling algorithms appear when these additional information are used. Moreover, we studied other publicly available workloads and partially reconstructed information concerning their machine failures and job requirements using statistical and analytical models to demonstrate that similar behavior is also expectable for other workloads. We suggest that additional information about both machines and jobs should be incorporated into the workloads archives to allow proper and more realistic simulations.
  • This paper has been inspired by the study of the complex data set from the Czech National Grid MetaCentrum. Unlike other widely used workloads from Parallel Workloads Archive or Grid Workloads Archive, this data set includes additional information concerning machine failures, job requirements and machine parameters which allows to perform more realistic simulations. We show that large differences in the performance of various scheduling algorithms appear when these additional information are used. Moreover, we studied other publicly available workloads and partially reconstructed information concerning their machine failures and job requirements using statistical and analytical models to demonstrate that similar behavior is also expectable for other workloads. We suggest that additional information about both machines and jobs should be incorporated into the workloads archives to allow proper and more realistic simulations. (en)
Title
  • The importance of complete data sets for job scheduling simulations
  • The importance of complete data sets for job scheduling simulations (en)
skos:prefLabel
  • The importance of complete data sets for job scheduling simulations
  • The importance of complete data sets for job scheduling simulations (en)
skos:notation
  • RIV/00216224:14330/10:00067181!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM0021622419)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 263137
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/10:00067181
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Grid; Cluster; Scheduling; MetaCentrum; Workload; Failures; Specific Job Requirements (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4C32959B823C]
http://linked.open...v/mistoKonaniAkce
  • Atlanta (USA)
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Job Scheduling Strategies for Parallel Processing, Revised Selected Papers
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Klusáček, Dalibor
  • Rudová, Hana
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000286164600008
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-16505-4_8
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  • Springer, Lecture Notes in Computer Science 6253
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  • 9783642165047
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  • 14330
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