An Efficient Load Balancing Approach in Cloud Computing

Abstract

Nowadays, Cloud computing has transformed into a fundamental trendy expression in the field of Information communication technology where most of business organizations are moving in direction of cloud domain as it provides 24*7 on-demand services and provides a platform to perform their works based on pay per use service model. Be that as it may, there are certain significant issues should be considered in the cloud computing environment. This research work centers around concentrating the presentation issues in two significant procedures in the cloud to be specific, assignment of tasks among the resources and proper resource utilization. In this proposition, author has fundamentally scrutinize a portion of the current load balancing strategies for accomplishing balancing among resources in a cloud domain. These strategies have been tried through cloudsim system and results have been scrutinize down on different parameters. As a significant commitment in the area of balancing of assets , the author has proposed a Improved Grey Wolf Optimization approach based on Dynamic Load Balancing approach named IGWO-DLB by consolidating attributes of the utilization of assets, Minimum Completion Time (MCT) and reducing latency time. The author has likewise implanted a optimization approach to overcome from the circumstance of overloading of assets. IGWO-DLB has been tried on the cloudsim simulation system and execute existing strategies with same platform and examination been done on significant parameter like turn around time, utilization of assets , and latency time. Result suggests that Improved Grey Wolf Optimization approach based on Dynamic load balancing are suitable for cloud domain. newline