Analysis of Load Balancing Algorithms Using Cloud Analyst

Abstract

Cloud computing delivers the services of cloud efficiently and effectively on pay-per usage basis to consumers. As the number of consumers and requests for the services are increasing day by day in cloud computing need of load balancing occurs. For efficient and effective management and usage of cloud service provider’s resources, already many load balancing algorithms have been proposed. In this paper comparative analysis of existing algorithms has been performed using simulator, i.e., Cloud Analyst. Cloud Analyst is a GUI-based toolkit that performs testing and simulation. In this paper existing Throttled, Round Robin, ESCE, FCFS, and SJF are compared. Cloud Analyst simulation results shows significant outcomes in terms of data center processing time, total cost, and response time in cloud computing environment.