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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/83217/ http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf |
| _version_ | 1848859477486338048 |
|---|---|
| author | Oke, Omotayo Patrick |
| author_facet | Oke, Omotayo Patrick |
| author_sort | Oke, Omotayo Patrick |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:29:58Z |
| format | Thesis |
| id | upm-83217 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:29:58Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-832172020-09-08T00:05:20Z http://psasir.upm.edu.my/id/eprint/83217/ Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing 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. 2019-07 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf Oke, Omotayo Patrick (2019) Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing. Masters thesis, Universiti Putra Malaysia. 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 |
| title | 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_short | Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing |
| title_sort | modified workflow scheduling using hybrid pso-ga algorithm in cloud computing |
| topic | Cloud computing - Case studies Hybrid computers |
| url | http://psasir.upm.edu.my/id/eprint/83217/ http://psasir.upm.edu.my/id/eprint/83217/1/FSKTM%202019%2034%20-%20IR.pdf |