Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment
The provision of resources and services for scientific workflow applications using a multi-cloud architecture and a pay-per-use rule has recently gained popularity within the cloud computing research domain. This is because workflow applications are computation intensive. Most of the existing studie...
| Main Authors: | , , , |
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| Format: | Article |
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IEEE
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87529/ |
| _version_ | 1848860451978346496 |
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| author | Farid, Mazen Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati |
| author_facet | Farid, Mazen Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati |
| author_sort | Farid, Mazen |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The provision of resources and services for scientific workflow applications using a multi-cloud architecture and a pay-per-use rule has recently gained popularity within the cloud computing research domain. This is because workflow applications are computation intensive. Most of the existing studies on workflow scheduling in the cloud mainly focus on finding an ideal makespan or cost. Nevertheless, there are other important quality of service metrics that are of critical concern in workflow scheduling such as reliability and resource utilization. In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method. The algorithm minimizes cost and makespan while considering reliability constraint. The coding scheme jointly considers task execution location and data transportation order. Simulation experiments reveal that FR-MOS outperforms the basic MOS over the PSO algorithm. |
| first_indexed | 2025-11-15T12:45:27Z |
| format | Article |
| id | upm-87529 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T12:45:27Z |
| publishDate | 2020 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-875292022-11-23T02:16:03Z http://psasir.upm.edu.my/id/eprint/87529/ Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment Farid, Mazen Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati The provision of resources and services for scientific workflow applications using a multi-cloud architecture and a pay-per-use rule has recently gained popularity within the cloud computing research domain. This is because workflow applications are computation intensive. Most of the existing studies on workflow scheduling in the cloud mainly focus on finding an ideal makespan or cost. Nevertheless, there are other important quality of service metrics that are of critical concern in workflow scheduling such as reliability and resource utilization. In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method. The algorithm minimizes cost and makespan while considering reliability constraint. The coding scheme jointly considers task execution location and data transportation order. Simulation experiments reveal that FR-MOS outperforms the basic MOS over the PSO algorithm. IEEE 2020-01-30 Article PeerReviewed Farid, Mazen and Latip, Rohaya and Hussin, Masnida and Abdul Hamid, Nor Asilah Wati (2020) Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment. IEEE Access, 8. 24309 - 24322. ISSN 2169-3536 https://ieeexplore.ieee.org/document/8976136 10.1109/ACCESS.2020.2970475 |
| spellingShingle | Farid, Mazen Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title | Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title_full | Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title_fullStr | Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title_full_unstemmed | Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title_short | Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| title_sort | scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment |
| url | http://psasir.upm.edu.my/id/eprint/87529/ http://psasir.upm.edu.my/id/eprint/87529/ http://psasir.upm.edu.my/id/eprint/87529/ |