A Study into Load Balancing in Cloud Computing Based on Whale Optimization Algorithm

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Xiaoxia Li

Abstract

In view of the low efficiency and low utilization of load balancing under cloud computing, this paper proposes a cloud computing load balancing scheme based on whale optimization algorithm. Firstly, the balanced load under cloud computing is explained; secondly, based on the whale optimization algorithm, the population diversity is improved through population initialization, the sine and cosine algorithm is used for local optimization, and the leapfrog algorithm is used for individual screening; finally, the optimized Whale optimization algorithm is used in cloud computing load balancing. The simulation experiment shows that the algorithm in this paper has better effects in task execution time, fairness and energy consumption compared with ant colony algorithm, particle swarm algorithm, and whale optimization algorithm.

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How to Cite
Xiaoxia Li. (2021). A Study into Load Balancing in Cloud Computing Based on Whale Optimization Algorithm. CONVERTER, 2021(7), 180-189. Retrieved from https://converter-magazine.info/index.php/converter/article/view/487
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