An Optimal Solution in cloud computing for Load Balancing using Genetic Algorithm
Shweta Sharma1, Shweta Pandey2
1Shweta Sharma, Asst. Prof, Goswami Ganesh Dutta Sanatam ,Information Technology, Punjab, India.
2Shweta Pandey, Research Scholar, Desh Bhagat University ,CSE, Mandi Gobingarh, Punjab, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2490-2494 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8559088619/2019©BEIESP | DOI: 10.35940/ijeat.F8559.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: About four key words or phrases in alphabetical order, separated by commas.