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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/43NHENN
Repositorysid.inpe.br/plutao/2020/12.07.16.27.38   (restricted access)
Last Update2020:12.08.17.34.19 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2020/12.07.16.27.39
Metadata Last Update2022:01.04.01.31.26 (UTC) administrator
DOI10.1007/978-3-030-58799-4_33
ISBN9783030587987
Labellattes: 3638070053255922 3 PuntelCharPetr:2020:CoPeAn
Citation KeyPuntelCharPetr:2020:CoPeAn
TitleComparative performance analysis of job scheduling algorithms in a real-world scientific application
Year2020
Access Date2024, May 08
Secondary TypePRE LI
Number of Files1
Size1387 KiB
2. Context
Author1 Puntel, Fernando Emilio
2 Charão, Andrea Schwertner
3 Petry, Adriano
Group1
2
3 CRCRS-COCRE-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Federal de Santa Maria (UFSM)
2 Universidade Federal de Santa Maria (UFSM)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 fepuntel@inf.ufsm.br
2 andrea@inf.ufsm.br
3 adriano.petry@inpe.br
EditorGervasi, O.
Murgante, B.
Misra, S.
Garau, C.
Blecic, I.
Taniar, D.
Apduhan, B. O.
Rocha, A. M. A. C.
Tarantino, E.
Torre, C. M.
Karaca, Y.
Book TitleComputational Science and Its Applications – ICCSA 2020
PublisherSpringer International Publishing
Volume12249
Pages447-462
Series TitleLecture Notes in Computer Science
History (UTC)2020-12-08 17:34:20 :: lattes -> administrator :: 2020
2022-01-04 01:31:26 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsJob scheduling · High performance computing · SLURM and resource management system
AbstractIn High Performance Computing, it is common to deal with substantial computing resources, and the use of a Resource Management System (RMS) becomes fundamental. The job scheduling algorithm is a key part of a RMS, and the selection of the best job scheduling that meets the user needs is of most relevance. In this work, we use a real-world scientific application to evaluate the performance of 4 different job scheduling algorithms: First in, first out (FIFO), Shortest Job First (SJF), EASYbackfilling and Fattened-backfilling. These algorithms worked with RMS SLURM workload manager, considering a scientific application that predicts the earths ionosphere dynamics. In the results we highlight each algorithms strength and weakness for different scenarios that change the possibility of advancing smaller jobs. To deepen our analysis, we also compared the job scheduling algorithms using 4 jobs of Numerical Aerodynamic Sampling (NAS) Parallel Benchmarks in a controlled scenario.
AreaCEA
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRS > Comparative performance analysis...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filepuntel_comparative.pdf
User Grouplattes
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EUFCFP
URL (untrusted data)http://link.springer.com/10.1007/978-3-030-58799-4_33
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype translator
7. Description control
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