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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...

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Main Authors: Farid, Mazen, Latip, Rohaya, Hussin, Masnida, Abdul Hamid, Nor Asilah Wati
Format: Article
Published: IEEE 2020
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id oai:psasir.upm.edu.my:87529
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spelling oai:psasir.upm.edu.my:87529 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
institution UPM IR
collection UPM IR
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.
format Article
author Farid, Mazen
Latip, Rohaya
Hussin, Masnida
Abdul Hamid, Nor Asilah Wati
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
author_facet Farid, Mazen
Latip, Rohaya
Hussin, Masnida
Abdul Hamid, Nor Asilah Wati
author_sort Farid, Mazen
title 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_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_sort scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment
publisher IEEE
publishDate 2020
_version_ 1819300198075072512
score 13.4562235

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