1.1 Background of Research The project describes the data about genetic-based load balancing algorithm for energy efficient resources allocation and this balancing process is done in the cloud environment. This approach has been used for the balance of the cloud environment, and this genetic-based algorithm is used for various types of solutions regarding optimization issues (Kaur and Anand, 2022). To maximize resource utilization and prevent cloud computing resources from becoming overloaded with traffic problems, load balancing can be regarded as a fundamental strategy. Fundamentally, the adoption of load-balancing techniques aids in the equitable distribution of “network traffic” among the pool of resources supplied by an application.

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