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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 and Hana RUDOVÁ. The importance of complete data sets for job scheduling simulations. In \textit{Job Scheduling Strategies for Parallel Processing, Revised Selected Papers}. Heidelberg: Springer, Lecture Notes in Computer Science 6253, 2010, p.~132-153. ISBN~978-3-642-16504-7. Available from: https://dx.doi.org/10.1007/978-3-642-16505-4\_{}8.
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