Dynamic weighted virtual machine live migration mechanism to manages load balancing in cloud computing

Load Balancing is a mechanism of efficient utilization of computing resources (i.e. CPU, Memory and Network). Cloud computing is the best option to reduce CAPEX and OPEX of the organizations. High Quality of Service (QoS) and reduction the Service Level Agreement (SLA) violation depend on efficient management of Load Imbalance problem. Cloud Service efficiency depends on proper management of physical and logical resources. Researchers did lots of work on the effective load management system. Researchers used many approaches (i.e. Ant colony, Honey Bee, Genetic, Static, and Dynamic) but still need improvement. Virtual Machines (VMs) migration system plays the vital role in load management. Our focus in this research is maximizing the utilization of VMs CPU capacity. Proposed research approach is based on Dynamic Weighted Live Migration (DWLM) to manage load imbalance problem. The proposed mechanism results outcomes compared with Migration time, Scalability, Throughput and Availability factor from Equally Spread Current Execution load balancing algorithm (ESCEL) and Push Pull algorithm. This paper also focuses on others load balancing strategies and future research scope in Load management mechanism.