Published Paper Details:

Cloud Computing emphasis the distributive environment that enhances sharable computing such as applications, software, network, security, storage area, processing power and many other services over the internet. The dynamically demanded requests can be satisfied by virtualized shared resources with internet support. All the features can be attained by various virtualization techniques. The shared resources can be utilized by the customers from resource pooling on pay per use basis. Even more and more services are provided by cloud, still there are some issues arises while resource sharing, security issues at sharing the data, virtual machine migration etc. Those issues can be identified and resolved to assure the better service quality in computing environment. Balancing the workload is major constraint in cloud environment, because it ensures the reliability, efficiency and availability. In this paper, we specify the considered Quality-of-Service metrics, merits and demerits on each optimized algorithms used for load balancing.