%0 Conference Proceedings
%@nexthigherunit 8JMKD3MGPCW/3EUFCFP
%2 sid.inpe.br/mtc-m21c/2020/10.25.14.59.55
%4 sid.inpe.br/mtc-m21c/2020/10.25.14.59
%3 puntel_comparatie.pdf
%8 01-04 July
%@issn 03029743
%A Puntel, Fernando Emilio,
%A Charão, Andrea Schwertner,
%A Petry, Adriano,
%B International Conference on Computational Science and Its Applications (ICCSA), 20
%@secondarytype PRE CI
%C Cagliari, Italy
%D 2020
%E Gervasi, O.,
%E Murgante, B.,
%E Misra, S.,
%E Garau, C.,
%E Blecic, I.,
%E Taniar, D.,
%E Apduhan, B. O.,
%E Rocha, A. M. A. C.,
%E Tarantino, E.,
%E Torre, C. M.,
%E Karaca, Y.,
%@secondarykey INPE--PRE/
%I Springer
%K Job scheduling · High performance computing · SLURM and resource management system.
%O Lecture Notes in Computer Science, v.12249
%P 447-462
%S Proceedings
%T Comparative performance analysis of job scheduling algorithms in a real-world scientific application
%X In 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.
%@area CEA
%@electronicmailaddress fepuntel@inf.ufsm.br
%@electronicmailaddress andrea@inf.ufsm.br
%@electronicmailaddress adriano.petry@inpe.br
%@documentstage not transferred
%@group
%@group
%@group CRCRS-COCRE-INPE-MCTIC-GOV-BR
%@usergroup simone
%@isbn 978-303058798-7
%@affiliation Universidade Federal de Santa Maria (UFSM)
%@affiliation Universidade Federal de Santa Maria (UFSM)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1007/978-3-030-58799-4_74