Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 3


Published
on


Pages

1118-1124


DOI

Article

Reduction of Traffic Load in Cloud Computing Using Energy Efficient Clustering Technique


Authors

Sateesh Nagavarapu* Affiliation:
Assoc. Prof, Assoc.Prof. dept of CSE, Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100
, M. Vamsi Krishna Affiliation:
Dept of CSE, Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100
and K. Bhavani Affiliation:
Dept of CSE, Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100


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.

Published by: Engineering Journals

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