An Optimal Algorithm to Improve Resource Utilization in Cloud Data Centre
S.Kanaga suba Raja1, M.Hema2
1P.S. Vikhe, Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
2B. S. Shukla, Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
3C. B. Kadu, Head, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
4V. V. Mandhare, Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2184-2188 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9704109119/2019©BEIESP | DOI: 10.35940/ijeat.A9704.109119
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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 Plays significant role in all type of business due to it features of measured service. so 89% of business are moving toward cloud that increases more number of data centers. Because of this there is more carbon dioxide emission.utilizing data centres for the efficient usage of client requests is major issue in the growing scenario amongst cloud users. Waiting for the data in queue for a long period of time increases the delay to obtain specific data. Our system focuses on reducing the delay of users, increasing the bandwidth thus giving an optimized system in cloud using software defined network. The software defined network has a central control over the entire system which efficiently manages the client requests. We have used the genetic load balancing algorithm to process the client requests in an orderly manner to enhance the data distribution between the various users of cloud.
Keywords: Software defined network, genetic load balancing, data distribution, reduce delay.