Abstract
Load balancing is important in distributed operations in distributed environments and systems, and since cloud computing has grown and expanded rapidly in the recent period, and with the increase in its expansion, customers’ requirements for more services and better results have increased, balancing the burden in cloud computing has become an important and expanding research topic for researchers and scholars in the field of cloud computing. In this paper, a group of algorithms used in balancing the burdens in cloud computing are discussed. Where a hybrid algorithm is designed to distribute burdens in cloud computing. The complexity of the proposed algorithm is O(n). Experiments proved that the proposed hybrid burden distribution algorithm in cloud computing is more efficient in performance compared to the PSO algorithm. The performance was better when the number of user requests was 200, which is 1.02 times. The hybrid algorithm works effectively with more orders and has a profit rate of 2.03%. The results of the experiments showed that the average execution time of the proposed algorithm for burden distribution is reduced by 4.73% compared to the PSO algorithm.
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Al-Khulaidi, A.A.G., Ali, M.N., Hazaa, M.A.S., Mohammed, A.A. (2021). Heterogeneous Dynamic Hybrid Algorithm in Cloud Computing to Load Balance to Improve Cloud Server Speed Efficiency. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Application in Informatics. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-030-90318-3_39
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