Article
Reduction of Traffic Load in Cloud Computing Using Energy Efficient Clustering Technique
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Abstract
Cloud computing data centres have grown in popularity recently for the supply of diverse computer resources. Reduced power usage is becoming a major concern for many data centres. Because of its ability to minimise the workload on data centres while also lowering overall energy consumption, the clustering approach in cloud computing is unsurpassed. In this paper, the focus is on energy efficiency and reducing load, and various energy efficiency and load balancing techniques are used to reduce the load at different data centres.
Keywords
Load Balancing, Clustering, Energy Consumption, Cloud Computing
Citation
Nagavarapu, S. & Krishna, M. V. (2020). Reduction of traffic load in cloud computing using energy efficient clustering technique. Turkish Journal of Computer and Mathematics Education, 11(3), 1118–1124.
S. Nagavarapu, M. V. Krishna and K. B., “Reduction of traffic load in cloud computing using energy efficient clustering technique,” Turkish Journal of Computer and Mathematics Education, vol. 11, no. 3, pp. 1118–1124, 2020.
Nagavarapu S, Krishna MV, KB. Reduction of traffic load in cloud computing using energy efficient clustering technique. Turkish Journal of Computer and Mathematics Education. 2020;11(3):1118–1124.
Nagavarapu, S. and Krishna, M. V. (2020), ‘Reduction of traffic load in cloud computing using energy efficient clustering technique’, Turkish Journal of Computer and Mathematics Education, 11(3), pp. 1118–1124.
Nagavarapu, Sateesh, et al. “Reduction of Traffic Load in Cloud Computing Using Energy Efficient Clustering Technique.” Turkish Journal of Computer and Mathematics Education, vol. 11, no. 3, 2020, pp. 1118–1124.
Nagavarapu, Sateesh, M. Vamsi Krishna, and K. Bhavani. “Reduction of Traffic Load in Cloud Computing Using Energy Efficient Clustering Technique.” Turkish Journal of Computer and Mathematics Education 11, no. 3 (2020): 1118–1124.
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Published by: Engineering Journals


