Alea – Complex Job Scheduling Simulator

Dalibor Klusáček; Mehmet Soysal; Frédéric Suter

doi:10.1007/978-3-030-43222-5_19

Alea – Complex Job Scheduling Simulator

Dalibor Klusáček, Mehmet Soysal, Frédéric Suter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Using large computer systems such as HPC clusters up to their full potential can be hard. Many problems and inefficiencies relate to the interactions of user workloads and system-level policies. These policies enable various setup choices of the resource management system (RMS) as well as the applied scheduling policy. While expert’s assessment and well known best practices do their job when tuning the performance, there is usually plenty of room for further improvements, e.g., by considering more efficient system setups or even radically new scheduling policies. For such potentially damaging modifications it is very suitable to use some form of a simulator first, which allows for repeated evaluations of various setups in a fully controlled manner. This paper presents the latest improvements and advanced simulation capabilities of the Alea job scheduling simulator that has been actively developed for over 10 years now. We present both recently added advanced simulation capabilities as well as a set of real-life based case studies where Alea has been used to evaluate major modifications of real HPC and HTC systems.

Original language	English
Title of host publication	Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers
Editors	Roman Wyrzykowski, Konrad Karczewski, Ewa Deelman, Jack Dongarra
Publisher	Springer
Pages	217-229
Number of pages	13
ISBN (Print)	9783030432218
DOIs	https://doi.org/10.1007/978-3-030-43222-5_19
State	Published - 2020
Externally published	Yes
Event	13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019 - Bialystok, Poland Duration: Sep 8 2019 → Sep 11 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12044 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019
Country/Territory	Poland
City	Bialystok
Period	09/8/19 → 09/11/19

Funding

Acknowledgments. We acknowledge the support and computational resources provided by the MetaCentrum under the program LM2015042, and the support provided by the project Reg. No. CZ.02.1.01/0.0/0.0/16 013/0001797 co-funded by the Ministry of Education, Youth and Sports of the Czech Republic.

Funders	Funder number
MetaCentrum	CZ.02.1.01/0.0/0.0/16 013/0001797, LM2015042
Ministerstvo Školství, Mládeže a Tělovýchovy

Keywords

Alea
HPC
HTC
Scheduling
Simulation

Access to Document

10.1007/978-3-030-43222-5_19

Cite this

Klusáček, D., Soysal, M., & Suter, F. (2020). Alea – Complex Job Scheduling Simulator. In R. Wyrzykowski, K. Karczewski, E. Deelman, & J. Dongarra (Eds.), Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers (pp. 217-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12044 LNCS). Springer. https://doi.org/10.1007/978-3-030-43222-5_19

Klusáček, Dalibor ; Soysal, Mehmet ; Suter, Frédéric. / Alea – Complex Job Scheduling Simulator. Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers. editor / Roman Wyrzykowski ; Konrad Karczewski ; Ewa Deelman ; Jack Dongarra. Springer, 2020. pp. 217-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Klusáček, D, Soysal, M & Suter, F 2020, Alea – Complex Job Scheduling Simulator. in R Wyrzykowski, K Karczewski, E Deelman & J Dongarra (eds), Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12044 LNCS, Springer, pp. 217-229, 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, Bialystok, Poland, 09/8/19. https://doi.org/10.1007/978-3-030-43222-5_19

Alea – Complex Job Scheduling Simulator. / Klusáček, Dalibor; Soysal, Mehmet; Suter, Frédéric.
Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers. ed. / Roman Wyrzykowski; Konrad Karczewski; Ewa Deelman; Jack Dongarra. Springer, 2020. p. 217-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12044 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Suter, Frédéric

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Klusáček D, Soysal M, Suter F. Alea – Complex Job Scheduling Simulator. In Wyrzykowski R, Karczewski K, Deelman E, Dongarra J, editors, Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Revised Selected Papers. Springer. 2020. p. 217-229. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-43222-5_19

Alea – Complex Job Scheduling Simulator

Abstract

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Keywords

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