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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F10%3A00043910%21RIV11-MSM-14330___
rdf:type
skos:Concept n8:Vysledek
dcterms:description
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.
dcterms:title
The importance of complete data sets for job scheduling simulations The importance of complete data sets for job scheduling simulations
skos:prefLabel
The importance of complete data sets for job scheduling simulations The importance of complete data sets for job scheduling simulations
skos:notation
RIV/00216224:14330/10:00043910!RIV11-MSM-14330___
n3:aktivita
n16:S n16:Z
n3:aktivity
S, Z(MSM0021622419)
n3:dodaniDat
n7:2011
n3:domaciTvurceVysledku
n4:9970819 n4:8739781
n3:druhVysledku
n10:O
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
263138
n3:idVysledku
RIV/00216224:14330/10:00043910
n3:jazykVysledku
n11:eng
n3:klicovaSlova
Grid; Cluster; Scheduling; MetaCentrum; Workload; Failures; Specific Job Requirements
n3:klicoveSlovo
n5:Failures n5:MetaCentrum n5:Grid n5:Scheduling n5:Specific%20Job%20Requirements n5:Cluster n5:Workload
n3:kontrolniKodProRIV
[89EA9E4CACD5]
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n7:2010
n3:tvurceVysledku
Klusáček, Dalibor Rudová, Hana
n3:zamer
n14:MSM0021622419
n15:organizacniJednotka
14330