Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing

Cloud computing environment offers customers with multiple on-demand services and resource sharing. Business processes are managed using cloud-based workflow technology, which is one of the difficulties of using resources efficiently owing to the inter-task dependencies. A Hybrid GA-PSO algorithm is...

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Main Author:	Oke, Omotayo Patrick
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Cloud computing - Case studies Hybrid computers
Online Access:	http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf
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id	my-upm-ir.83217
record_format	uketd_dc
spelling	my-upm-ir.832172020-09-08T00:05:20Z Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing 2019-07 Oke, Omotayo Patrick Cloud computing environment offers customers with multiple on-demand services and resource sharing. Business processes are managed using cloud-based workflow technology, which is one of the difficulties of using resources efficiently owing to the inter-task dependencies. A Hybrid GA-PSO algorithm is suggested in this paper to effectively allocate duties. The goal of the Hybrid GA-PSO algorithm is to reduce the makespan and cost and balance the load of dependent tasks in cloud computing environments over the heterogonous resources. Results of the experiment show that the PSO-GA algorithm reduces the complete workflow execution time, Compared to GA, PSO and GA-PSO. It also decreases the cost of implementation. It also increases the workflow application's load balancing over accessible resources. Finally, the findings acquired also showed that the suggested algorithm converges more quickly and with greater performance than other algorithms to ideal alternatives. Cloud computing - Case studies Hybrid computers 2019-07 Thesis http://psasir.upm.edu.my/id/eprint/83217/ http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf text en public masters Universiti Putra Malaysia Cloud computing - Case studies Hybrid computers Derahman, Mohd Noor
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Derahman, Mohd Noor
topic	Cloud computing - Case studies Hybrid computers
spellingShingle	Cloud computing - Case studies Hybrid computers Oke, Omotayo Patrick Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
description	Cloud computing environment offers customers with multiple on-demand services and resource sharing. Business processes are managed using cloud-based workflow technology, which is one of the difficulties of using resources efficiently owing to the inter-task dependencies. A Hybrid GA-PSO algorithm is suggested in this paper to effectively allocate duties. The goal of the Hybrid GA-PSO algorithm is to reduce the makespan and cost and balance the load of dependent tasks in cloud computing environments over the heterogonous resources. Results of the experiment show that the PSO-GA algorithm reduces the complete workflow execution time, Compared to GA, PSO and GA-PSO. It also decreases the cost of implementation. It also increases the workflow application's load balancing over accessible resources. Finally, the findings acquired also showed that the suggested algorithm converges more quickly and with greater performance than other algorithms to ideal alternatives.
format	Thesis
qualification_level	Master's degree
author	Oke, Omotayo Patrick
author_facet	Oke, Omotayo Patrick
author_sort	Oke, Omotayo Patrick
title	Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
title_short	Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
title_full	Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
title_fullStr	Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
title_full_unstemmed	Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
title_sort	modified workflow scheduling using hybrid pso-ga algorithm in cloud computing
granting_institution	Universiti Putra Malaysia
publishDate	2019
url	http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf
_version_	1747813360068460544

Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing

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