Abstract
The load balancing is an important aspect of systematized operations in distributed environments. As cloud computing is emerging expeditiously and clients are claiming more facilities and improved results, load balancing for the cloud environment has become a very fascinating and crucial research area. Load balancing in cloud computing is defined as the method of splitting workloads and other computing properties among different computers, networks or servers in a cloud computing environment. Researchers have proposed many approaches to provide cloud load balancing with the aim to intensify the overall performance of the cloud computing. In this paper, the different cloud load balancing methods with the three most efficient approaches have been investigated. The three approaches that are reviewed in this paper are the ant colony optimization method, the honey-bee algorithm, and genetic algorithm. This research paper summarized the methods for cloud load balancing based on these three mentioned approaches.
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Bhowmik, T., Goswami, S., Das, B. (2021). A Review on Load Balancing Methods for Cloud Computing Based on Ant Colony Optimization, Honey-Bee and Genetic Algorithm. In: Bhateja, V., Satapathy, S.C., Travieso-González, C.M., Aradhya, V.N.M. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1407. Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_30
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DOI: https://doi.org/10.1007/978-981-16-0171-2_30
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