Abstract: Cloud computing is the on-demand delivery of computer system resources primarily data storage and processing power without direct, active user oversight. The Cloud is a collection of diverse materials. Cloud computing's handling of storage has made load balancing possible. The practice of efficiently distributing the load among the servers such that no server is overcrowded or under loaded is known as load balancing. This is accomplished by effectively and successfully splitting the task using the Enhanced Weighted Round Robin. This project's main goal is to reduce response time while enhancing performance by USING GAA algorithm. Using Genetic algorithm for providing expected service result to the user as well as using Any Colony algorithm for efficient resource managing that helps to reduce the response time. Mainly resource allocation are theoritically provides best result but in practical user suffers with bad experience. For that using Analytical algorithm, it helps to analyze the data from the user request and make a decision to process the data in the analytical mode. Finally, efficient resource allocation in data center can be calculated and analyzed by using the combining algorithm of Genetic, Ant Colony and Analytical.
Keywords : Service And Vm Scheduling , Analysis , Static load Balancing , Optimal Static Load Balancing Algorithms , Quality of Services, Genetic Algorithm , Ant Colony Optimization , Analytical Algorithm.
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DOI:
10.17148/IJARCCE.2023.124184
