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@inproceedings{884609,
author = {Klusáček, Dalibor and Rudová, Hana},
address = {Heidelberg},
booktitle = {Job Scheduling Strategies for Parallel Processing, Revised Selected Papers},
doi = {http://dx.doi.org/10.1007/978-3-642-16505-4_8},
keywords = {Grid; Cluster; Scheduling; MetaCentrum; Workload; Failures; Specific Job Requirements},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Heidelberg},
isbn = {978-3-642-16504-7},
pages = {132-153},
publisher = {Springer, Lecture Notes in Computer Science 6253},
title = {The importance of complete data sets for job scheduling simulations},
url = {http://www.springer.com/computer/swe/book/978-3-642-16504-7},
year = {2010}
}
TY - JOUR
ID - 884609
AU - Klusáček, Dalibor - Rudová, Hana
PY - 2010
TI - The importance of complete data sets for job scheduling simulations
PB - Springer, Lecture Notes in Computer Science 6253
CY - Heidelberg
SN - 9783642165047
KW - Grid
KW - Cluster
KW - Scheduling
KW - MetaCentrum
KW - Workload
KW - Failures
KW - Specific Job Requirements
UR - http://www.springer.com/computer/swe/book/978-3-642-16504-7
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. Online. In \textit{Job Scheduling Strategies for Parallel Processing, Revised Selected Papers}. Heidelberg: Springer, Lecture Notes in Computer Science 6253, 2010. s.~132-153. ISBN~978-3-642-16504-7. Dostupné z: https://dx.doi.org/10.1007/978-3-642-16505-4\_{}8. [citováno 2024-04-23]
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