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ROA-CONS: raccoon optimization job scheduling


Koohi, Sina Zangbari and Abdul Hamid, Nor Asilah Wati and Othman, Mohamed and Ibragimov, Gafurjan (2021) ROA-CONS: raccoon optimization job scheduling. Symmetry, 13 (12). art. no. 2270. pp. 1-16. ISSN 2073-8994


High-performance computing comprises thousands of processing powers in order to deliver higher performance computation than a typical desktop computer or workstation in order to solve large problems in science, engineering, or business. The scheduling of these machines has an important impact on their performance. HPC’s job scheduling is intended to develop an operational strategy which utilises resources efficiently and avoids delays. An optimised schedule results in greater efficiency of the parallel machine. In addition, processes and network heterogeneity is another difficulty for the scheduling algorithm. Another problem for parallel job scheduling is user fairness. One of the issues in this field of study is providing a balanced schedule that enhances efficiency and user fairness. ROA-CONS is a new job scheduling method proposed in this paper. It describes a new scheduling approach, which is a combination of an updated conservative backfilling approach further optimised by the raccoon optimisation algorithm. This algorithm also proposes a technique of selection that combines job waiting and response time optimisation with user fairness. It contributes to the development of a symmetrical schedule that increases user satisfaction and performance. In comparison with other well-known job scheduling algorithms, the simulation assesses the effectiveness of the proposed method. The results demonstrate that the proposed strategy offers improved schedules that reduce the overall system’s job waiting and response times.

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Official URL or Download Paper: https://www.mdpi.com/2073-8994/13/12/2270

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.3390/sym13122270
Publisher: MDPI AG
Keywords: Conservative backfilling; Job scheduling; Optimization; Parallel computer; Raccoon optimization algorithm
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 10 Feb 2023 03:21
Last Modified: 10 Feb 2023 03:21
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/sym13122270
URI: http://psasir.upm.edu.my/id/eprint/94983
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