Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
Cloud computing has emerged as a cornerstone technology for modern computational paradigms due to its scalability and flexibility. One critical aspect of cloud computing is efficient task scheduling, which directly impacts system performance and resource utilization. In this paper, we propose an enh...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1618 |
| الوسوم: |
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| _version_ | 1857415065118965761 |
|---|---|
| author | Abualigah, Laith |
| author2 | Hussein, Ahmad MohdAziz Almomani, Mohammad H. Abu Zitar, Raed Migdady, Hazem Alzahrani, Ahmed Ibrahim Alwadain, Ayed |
| author2_role | author author author author author author |
| author_facet | Abualigah, Laith Hussein, Ahmad MohdAziz Almomani, Mohammad H. Abu Zitar, Raed Migdady, Hazem Alzahrani, Ahmed Ibrahim Alwadain, Ayed |
| author_role | author |
| dc.creator.none.fl_str_mv | Abualigah, Laith Hussein, Ahmad MohdAziz Almomani, Mohammad H. Abu Zitar, Raed Migdady, Hazem Alzahrani, Ahmed Ibrahim Alwadain, Ayed |
| dc.date.none.fl_str_mv | 2024-06-24T04:11:56Z 2024-06-24T04:11:56Z 2024 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 2210-5379 https://depot.sorbonne.ae/handle/20.500.12458/1618 10.1016/j.suscom.2024.101012 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Sustainable Computing: Informatics and Systems |
| dc.subject.none.fl_str_mv | Cloud Computing Task Scheduling Jaya Algorithm Synergistic Swarm Optimization Levy Flight Mechanism Resource Utilization |
| dc.title.none.fl_str_mv | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | Cloud computing has emerged as a cornerstone technology for modern computational paradigms due to its scalability and flexibility. One critical aspect of cloud computing is efficient task scheduling, which directly impacts system performance and resource utilization. In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. Building upon the foundation of the Jaya algorithm and Synergistic Swarm Optimization (SSO), our approach integrates a Levy flight mechanism to enhance exploration-exploitation trade-offs and improve convergence speed. The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. Moreover, the incorporation of Levy flights injects stochasticity into the search process, enabling the algorithm to escape local optima and navigate complex solution spaces more effectively. We evaluate the proposed algorithm against state-of-the-art approaches using benchmark task scheduling problems in cloud environments. Experimental results demonstrate the superiority of our method in terms of solution quality, convergence speed, and scalability. Overall, our proposed Improved Jaya Synergistic Swarm Optimization Algorithm offers a promising solution for optimizing TSCC (TSCC), contributing to enhanced resource utilization and system performance in cloud-based applications. The proposed method got 88% accuracy overall and 10% enhancement compared to the original method. |
| id | sorbonner_4bcaeeb6c179e7bb0e5fab58c7a1ea3f |
| identifier_str_mv | 2210-5379 10.1016/j.suscom.2024.101012 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1618 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud ComputingAbualigah, LaithHussein, Ahmad MohdAzizAlmomani, Mohammad H.Abu Zitar, RaedMigdady, HazemAlzahrani, Ahmed IbrahimAlwadain, AyedCloud ComputingTask SchedulingJaya AlgorithmSynergistic Swarm OptimizationLevy Flight MechanismResource UtilizationCloud computing has emerged as a cornerstone technology for modern computational paradigms due to its scalability and flexibility. One critical aspect of cloud computing is efficient task scheduling, which directly impacts system performance and resource utilization. In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. Building upon the foundation of the Jaya algorithm and Synergistic Swarm Optimization (SSO), our approach integrates a Levy flight mechanism to enhance exploration-exploitation trade-offs and improve convergence speed. The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. Moreover, the incorporation of Levy flights injects stochasticity into the search process, enabling the algorithm to escape local optima and navigate complex solution spaces more effectively. We evaluate the proposed algorithm against state-of-the-art approaches using benchmark task scheduling problems in cloud environments. Experimental results demonstrate the superiority of our method in terms of solution quality, convergence speed, and scalability. Overall, our proposed Improved Jaya Synergistic Swarm Optimization Algorithm offers a promising solution for optimizing TSCC (TSCC), contributing to enhanced resource utilization and system performance in cloud-based applications. The proposed method got 88% accuracy overall and 10% enhancement compared to the original method.2024-06-24T04:11:56Z2024-06-24T04:11:56Z2024Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf2210-5379https://depot.sorbonne.ae/handle/20.500.12458/161810.1016/j.suscom.2024.101012enSustainable Computing: Informatics and Systemsoai:depot.sorbonne.ae:20.500.12458/16182024-06-24T18:00:33Z |
| spellingShingle | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing Abualigah, Laith Cloud Computing Task Scheduling Jaya Algorithm Synergistic Swarm Optimization Levy Flight Mechanism Resource Utilization |
| title | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| title_full | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| title_fullStr | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| title_full_unstemmed | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| title_short | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| title_sort | Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing |
| topic | Cloud Computing Task Scheduling Jaya Algorithm Synergistic Swarm Optimization Levy Flight Mechanism Resource Utilization |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1618 |