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@proceedings{883014,
author = {Klusáček, Dalibor and Rudová, Hana},
booktitle = {Proceedings of the 15th Workshop on Job Scheduling Strategies for Parallel Processing},
keywords = {Grid; Cluster; Scheduling; MetaCentrum; Workload; Failures; Specific Job Requirements},
language = {eng},
title = {The importance of complete data sets for job scheduling simulations},
year = {2010}
}
TY - CONF
ID - 883014
AU - Klusáček, Dalibor - Rudová, Hana
PY - 2010
TI - The importance of complete data sets for job scheduling simulations
KW - Grid
KW - Cluster
KW - Scheduling
KW - MetaCentrum
KW - Workload
KW - Failures
KW - Specific Job Requirements
N2 - 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.
ER -
KLUSÁČEK, Dalibor a Hana RUDOVÁ. The importance of complete data sets for job scheduling simulations. In \textit{Proceedings of the 15th Workshop on Job Scheduling Strategies for Parallel Processing}. 2010.
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