Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment

Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment

Use of multiprocessors applications to solve complex problems in computer's system contributes to the increase in performance and speed of today's computer. In multiprocessors environment, it is very important to have a great strategy or method on scheduling the processors that are utilize...

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Published in:2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024
Main Author: Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201301400&doi=10.1109%2fISIEA61920.2024.10607183&partnerID=40&md5=ae880f82575140b82ceb73696c36d36d
id 2-s2.0-85201301400
spelling 2-s2.0-85201301400
Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
2024
2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024


10.1109/ISIEA61920.2024.10607183
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201301400&doi=10.1109%2fISIEA61920.2024.10607183&partnerID=40&md5=ae880f82575140b82ceb73696c36d36d
Use of multiprocessors applications to solve complex problems in computer's system contributes to the increase in performance and speed of today's computer. In multiprocessors environment, it is very important to have a great strategy or method on scheduling the processors that are utilized to handle a specific task in the computer system. As each scheduling problem involves problem-specific variables, multiprocessors need different and appropriate algorithm for their problems. This study introduces the Whale Optimization Algorithm (WOA) for task scheduling. Comparisons with other existing methods were also conducted to highlight the efficiency of the proposed WOA in performing task scheduling. © 2024 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
spellingShingle Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
author_facet Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
author_sort Suliman S.I.; Khalish M.N.; Yusof Y.W.M.; Rahman F.Y.A.
title Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
title_short Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
title_full Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
title_fullStr Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
title_full_unstemmed Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
title_sort Whale Optimization Algorithm (WOA) for Task Scheduling Problem in Multi-Processors Environment
publishDate 2024
container_title 2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024
container_volume
container_issue
doi_str_mv 10.1109/ISIEA61920.2024.10607183
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201301400&doi=10.1109%2fISIEA61920.2024.10607183&partnerID=40&md5=ae880f82575140b82ceb73696c36d36d
description Use of multiprocessors applications to solve complex problems in computer's system contributes to the increase in performance and speed of today's computer. In multiprocessors environment, it is very important to have a great strategy or method on scheduling the processors that are utilized to handle a specific task in the computer system. As each scheduling problem involves problem-specific variables, multiprocessors need different and appropriate algorithm for their problems. This study introduces the Whale Optimization Algorithm (WOA) for task scheduling. Comparisons with other existing methods were also conducted to highlight the efficiency of the proposed WOA in performing task scheduling. © 2024 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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