Dynamic Load Balancing For Cloud Computing Using Heuristic Data and Load on Server

Abstract

Cloud computing is emerging trend in Information Technology community. Cloud resources are delivered to cloud users based on the requirements. Because of the services provided by cloud, it is becoming more popular among internet users. Hence, the number of cloud users is increasing day by day. Because of this, load on the cloud server needs to be managed for optimum resource utilization. This research proposes new load balancing algorithm which considers parameter like weight of each task, execution time of each task, current load and future load on the server. Current load balancing algorithms don't consider these parameters together for load balancing. Proposed scheme selects the best node based on these parameters to achieve optimum use of resources.