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Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
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DOI：10.1016/j.aej.2021.04.051.png)
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Abstract
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A cloud computing multi-objective task scheduling optimization based on fuzzy selfdefense algorithm is proposed. Select the shortest time, the degree of resource load balance and the cost of multi-objective task completion as the goal of cloud computing multi-objective task scheduling, establish a mathematical model to measure the effect of multi-objective task scheduling, and construct the objective function of cloud computing multi-objective task scheduling. The experimental results show that the cloud computing multi-objective task scheduling optimization method based on fuzzy self-defense algorithm can improve the performance of multi-objective maximum completion time, deadline violation rate and virtual machine resource utilization. (C) 2021 THE AUTHOR. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
Keywords:
Fuzzy self-defense algorithm
Cloud computing
Multi-objective task
Scheduling optimization
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