Literature Survey on Adaptive Virtual Machine Scheduling Strategy to Optimize Load Balancing in Cloud Environment
Hanuman Reddy N., Amit Lathigara, Rajanikanth Aluvalu · 2021 International Conference on Decision Aid Sciences and Application (DASA) · 2021
Cloud computing has become a widely accepted technology that provides on-demand services. Resource man-agement is critical in cloud computing to provide required resources to the subscribers. Cloud computing uses virtualization technology to optimize resource utilization. Resource allocation is done based on virtual machines. Load balancing based on virtual machine strategy is a more challenging problem. Heavy Workload of the physical machine decreases the VM s performance and increases the job completion time. It enables virtual machine migration techniques with the help of load balancing methods to remove hotspots and associations for the improvement of resource utilization and energy efficiency. In this paper, the survey is done on various load balancing mechanisms and their shortcomings are presented.