Effective selection of node for cloud environment using makespan

Abstract

Today, Cloud computing has been rising as new technology as well as new business model. The increasing cloud computing services offer great opportunities for clients to find the maximum service at finest pricing, which however raises new challenges on how to select the best service out of the huge group. A variety of computing resources facilitate the execution of tasks in Cloud computing environment. Therefore, it becomes necessary to select appropriate node for executing a task which enhances the performance of large-scale cloud computing environment. It is time-consuming for consumers to collect the necessary information and analyze all service providers to make the decision. This is also a highly demanding task from a computational perspective, because the same computations may be conducted repeatedly by multiple consumers who have similar requirements. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time. Load balancing ensures that all the processor in the system does approximately an equal amount of work at any instant of time. CloudAnalyst is a tool that helps developers to simulate large-scale Cloud applications with the purpose of understanding performance of such applications under various deployment configurations. The simulated results provided in this paper based on the scheduling algorithm Three level hierarchical load balancing policy is being compared with different algorithm to estimate response time.