An Improved Efficient Dynamic Load Balancing Scheme Under Heterogeneous Networks in Hybrid Cloud Environment

Abstract

In the rapid development of computer network technology. The cloud computing is a novel technology had become a highly demanded service due to several new challenges to all organizations the advantages of high computing power, cost of services, scalability, accessibility and availability. However, Cloud computing supports virtual machines system is more complex while dispatching variety of tasks to server’s applications simultaneously. That dispatching tasks to the servers is a challenge since there has a large number of applications in the heterogeneous cloud environment servers, all application services need to cooperate with each other in the cloud computing environment network. The huge number of tasks, an appropriate and effective scheduling algorithm is to allocate these tasks to appropriate servers within the minimum completion time, and to achieve the load balancing of performance workload of the cloud system. In this paper, we present a novel improved efficient dynamic load balancing scheme to organizing the virtualized resources algorithm, called Improved Efficient Scheme (IES) algorithm in the cloud computing network. The main concept of the IES algorithm is to allocate the tasks to server host by comparing all value of makespan time of the server nodes between each task. Basically, the IES algorithm can obtain better task completion time than previous works and can achieve dynamic load balancing in cloud computing environment.