Citation
Abstract
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.
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Official URL or Download Paper: https://ieeexplore.ieee.org/document/8976136
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Computer Science and Information Technology |
DOI Number: | https://doi.org/10.1109/ACCESS.2020.2970475 |
Publisher: | IEEE |
Keywords: | Task analysis; Cloud computing; Reliability; Scheduling; Resource management; Scheduling algorithms |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 23 Nov 2022 02:16 |
Last Modified: | 23 Nov 2022 02:16 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ACCESS.2020.2970475 |
URI: | http://psasir.upm.edu.my/id/eprint/87529 |
Statistic Details: | View Download Statistic |
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