A Performance Booster for Load Balancing In Cloud Computing With My Load Balancer Techinique
Krutika A Veerapur1, Ganesh V. Bhat2

1Mr. Ravi Aavula, Research Scholar, Department of Information Technology, GIT, GITAM, Visakhapatnam, Associate Professor, Department of C.S.E, Guru Nanak Institutions Technical Campus Hyderabad (T.S), India.
2Dr. R. Bhramaramba, Professor, Department of Information Technology, GIT, GITAM, Visakhapatnam (A.P), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1815-1818 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7613068519/19©BEIESP
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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: Load balancing is the central piece of open distributed computing. The procedure of load balancing increments the execution of cloud-based administrations. Cloud based administrations gives equipment’s, programming and stage as administration. Usage of data is increasing day by day and we are in need for an efficient load balancer in cloud computing world. There are a lot of algorithms and techniques which are currently used in this field to increase efficiency, reliability and many more parameters. Here an algorithm is proposed which allocates the job to VM based on current job and average of all the jobs. In this paper, we have developed a technique and compared with the “Round Robin” and “Equally Spread current execution load” techniques. Cloud analyst is developed in java platform and is free to be used by anyone for research. All the techniques, including the proposed technique is simulated in cloud analyst and used in windows operating system as a platform. Our load balancing technique is more efficient in response time than the other two.
Keywords: Cloud Computing, Cloud Sim, Cloud Analyst, Distributed Computing, Round Robin, Virtual Machine

Scope of the Article: Cloud Computing