A Novel Firefly Algorithm Based Load Balancing approach for Cloud Computing
J. Aswini1, N. Malarvizhi2, T. Kumanan3
1J.Aswini, Research Scholar, Assistant Professor, Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Information Technology, Jawahar Engineering College, Chennai (Tamil Nadu), India.
2N.Malarvizhi, Professor & Head, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu), India.
3T.Kumanan, Professor, Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 91-96 | Volume-8 Issue-5, March 2019 | Retrieval Number: D2870028419/19©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: This research work discusses the methodology for cloud workloads prediction and simulation for developing a load balancing algorithm. The main goal of the methodology is to develop an efficient load balancing algorithm which would require less processing power. In-order to enhance load balancing, these following parameters should incorporated, namely, determining as well as comparing the load and efficiency of the system, connection between the nodes, transmission nature and obtaining the proper nodes. Therefore. to enhance the performance of the load balancing, a firefly based algorithm was developed. The proposed algorithm main task is to increase the utilization of resource among cloud servers, thereby enhancing performance of the cloud servers by proper load balancing.
Keyword: Firefly Algorithm, Cloud Computing, Load Balancing, Global Optimization.
Scope of the Article: Cloud Computing