Performance study of some dynamic load balancing algorithms in cloud computing environment

In Cloud computing environment the utilization of computing resources may be available through the service that redernal by cloud consumers to service providers over the Internet. Due to popularity of Cloud computing environment, the cloud computing users are increasing day by day and that has become one of the important challenges for the cloud providers in terms of load balancing. The top most challenge of cloud service providers is load balancing which is mostly used for effective operation in cloud computing environment. However, load balancing distributes the traffic evenly over multiple paths by minimizing the Response time, optimizing the resources, maximizing the throughput and by avoiding single resource overloading. In this present work, we have focused on dynamic load balancing algorithms namely modified throttled, FCFS and Particle Swam Optimization based on their performance using Cloud Analyst Simulator. Simulation outcomes are recorded in terms of the Response time and datacenter processing time of the three algorithms along with its performance and arrival cost details.