One of the major issues in the field of cloud computing today is distributing the system burden and distributing all incoming requests among all processing nodes. Numerous load balancing techniques and algorithms have been put forth for cloud and distributed computing systems. Furthermore, one of the key elements for enhancing system performance in a cloud context is the broker policy for allocating the workload among several datacenters. An analytical comparison between various broker policies and VM load balancing techniques is presented in this study. We simulate these methods using the Cloud Analyst simulator to assess them, and the final results are shown depending on various factors. The optimal combinations are indicated by the research's findings.

Cloud Computing, Virtual Machines, Load Balancing, Broker Policy, Performance Evaluation.