Improved League Championship Algorithm (ILCA) for Load Balancing in Cloud Computing


Prof.Amol D Gaikwad
Dr.Kavita R. Singh


You can’t obtain the outcomes you need without planning, thus it’s at the heart of cloud computing. This article’s major goal is to decrease value-added time, increase resource utilisation, and make cloud services viable for a single activity. In recent years, metaheuristic algorithms have drew attention to the correct functioning of work scheduling algorithms among the many job scheduling techniques. With sports leagues, the algorithm based on the League Championship (LCA) is fascinating because it can be used to identify the best team/task for programming.This article uses the Improved League Championship Algorithm (ILCA) to schedule tasks, reducing deployment time, cloud usage, and cost. The ILCA is implemented through the Cloudsim simulator and the Java programming language with a nonpreventive planning strategy. ILCA also enhances economies of scale and minimises the value of using the cloud. As it has proven to be versatile in terms of time to manufacture, resource usage and economics, ILCA could be a good candidate for a cloud broker as it has proven to be versatile in terms
of time to manufacture, resource usage and economics usage.


How to Cite
Gaikwad, A. ., & Singh, K. . (2022). Improved League Championship Algorithm (ILCA) for Load Balancing in Cloud Computing . International Journal of Next-Generation Computing, 13(5).


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