With its service flexibility and remuneration model, which allows users to pay only for what they need, cloud computing is a quickly evolving area. However, in the cloud services environment, security, load balancing, and the ability to absorb mistakes are all key concerns. The load balancing algorithm will be the topic of this document. Posting/ uploading data is one of the ways that Cloud Service Providers (CSPs) can meet consumers' QoS (Quality of Service) needs while also in-creasing profitability by optimizing their resources. Load balancing is distributing the load across different nodes that provide the best possible use of resources when the nodes are full of activity. The main goal of this study is the comparison of several load balancing strategies. This work will help readers read multiple algorithms of load balancing at once.
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Chauhan et al. (2024) studied this question.
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