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Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review

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Abstract

Efficient task and workflow scheduling are very important for improving resource management and reducing power consumption in cloud computing data centers (DCs). However, regarding numerous tasks, virtual machines, and several objectives which should be taken into account, scheduling is considered to be an NP-Hard problem. Multi-objective optimization is an interesting technique to deal with multiple conflicting goals which have been utilized by various schemes to solve the task and workflow scheduling problems. This paper focuses on the metaheuristic multi-objective optimization context and presents a comprehensive survey and overview of the multi-objective scheduling approaches designed for various cloud computing environments. It classifies the scheduling schemes regarding their applied multi-objective optimization algorithms and describes how they have adapted the optimization algorithms to solve scheduling problems. Furthermore, a comparison of the multi-objective scheduling schemes is provided, which illuminates future research directions, and finally concluding remarks are presented.

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Authors and Affiliations

  1. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam

    Mehdi Hosseinzadeh

  2. Health Management and Economics Research Centre, Iran University of Medical Sciences, Tehran, Iran

    Mehdi Hosseinzadeh

  3. Department of Computer Science, College of Science, University of Halabja, Halabja, Iraq

    Marwan Yassin Ghafour

  4. Computer Science Department, College of Basic Education, University of Sulaimani, Sulaymaniyah, Iraq

    Hawkar Kamaran Hama

  5. Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam

    Bay Vo

  6. Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran

    Afsane Khoshnevis

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  1. Mehdi Hosseinzadeh
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Hosseinzadeh, M., Ghafour, M.Y., Hama, H.K. et al. Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review. J Grid Computing 18, 327–356 (2020). https://doi.org/10.1007/s10723-020-09533-z

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