A Performance Comparison of Load Balancing in Cloud Computing Techniques

Cloud computing is a new era in large-scale computing in which information is processed from large data centers. One of the most difficult aspects of this is balancing the load across all of the nodes. It is also necessary for proper asset use and equitable labor allocation. Appropriate allocation and exploitation of computer resources in sharing mode can result in high end-user experience as well as optimal resource consumption. To accomplish the desired aim, massive data-centric systems and networks must be balanced. The load rebalancing problem is seen as an efficiency problem, and a solid regulating set of rules for load can allow for a variety of compensations such as scalability enabling, barrier avoidance, minimizing resource usage, and so on. Several studies have offered numerous solutions to load balancing problems in the cloud environment. This work seeks to investigate and analyze a range of weight balancing methods within the context of cloud computing.