An Optimal Solution in cloud computing for Load Balancing using Genetic Algorithm

Abstract

 Abstract: Cloud computing is a research trend which bring various cloud services to the users. Cloud environment face various challenges and issues to provide efficient services. In this paper, a novel Genetic Algorithm based load balancing algorithm has been implemented to balance the load in the network. The literature review has been studied to understand the research gap. More specifically, load balancing technique authenticate the network by enabling Virtual Machines (VM). The proposed technique has been further evaluated using the Schedule Length Runtime (SLR) and Energy consumption (EC) parameters. Overall, the effective results has been obtained such as 46% improvement in consuming the energy and 12 % accuracy for the SLR measurement. In addition, results has been compared with the conventional approaches to validate the outcomes. Index Terms: About four key words or phrases in alphabetical order, separated by commas.The proposed structure has been further evaluated using the SLR and EC. An efficient results has been obtained in a hostile environment, where VMs has been settled down using the start time and completion time. The proposed architecture has been further compared with the conventional approaches. The attained results has been improved in terms of energy consumption and time measurement for balancing the load.