The importance of complete data sets for job scheduling
simulations

D 2010

The importance of complete data sets for job scheduling simulations

KLUSÁČEK, Dalibor a Hana RUDOVÁ

Základní údaje

Originální název

The importance of complete data sets for job scheduling simulations

Autoři

KLUSÁČEK, Dalibor (203 Česká republika, garant, domácí) a Hana RUDOVÁ (203 Česká republika, domácí)

Vydání

Heidelberg, Job Scheduling Strategies for Parallel Processing, Revised Selected Papers, od s. 132-153, 22 s. 2010

Nakladatel

Springer, Lecture Notes in Computer Science 6253

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/10:00067181

Organizační jednotka

Fakulta informatiky

ISBN

978-3-642-16504-7

ISSN

DOI

http://dx.doi.org/10.1007/978-3-642-16505-4_8

UT WoS

000286164600008

Klíčová slova anglicky

Grid; Cluster; Scheduling; MetaCentrum; Workload; Failures; Specific Job Requirements

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 30. 4. 2014 04:37, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

MSM0021622419, záměr

Název: Vysoce paralelní a distribuované výpočetní systémy

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Vysoce paralelní a distribuované výpočetní systémy

MUNI/A/0914/2009, interní kód MU

Název: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Akronym: SV-FI MAV)

Investor: Masarykova univerzita, Rozsáhlé výpočetní systémy: modely, aplikace a verifikace, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

KLUSÁČEK, Dalibor a Hana RUDOVÁ. The importance of complete data sets for job scheduling simulations. In 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.

@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. 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.

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