Energy Efficient Host Overloading Detection Algorithm in Cloud Computing

Authors

N. Kumar and R. Kumar

Citation (July 2018)

N. Kumar and R. Kumar, “Energy Efficient Host Overloading Detection Algorithm in Cloud Computing,” Int. J. Comput. Sci. Eng., no. 7, pp. 1521–1525, 2018.

Abstract

Cloud computing is now a most popular technology of the present generation. Energy efficiency is big aspect to think as the big data center is consuming a lot of energy to run and to serve their customers. Energy efficient algorithm and techniques are required to reduce the carbon emissions. In this paper we have worked for consolidation of Virtual Machine(VM) by detecting over-utilized hosts by using Pattern matching and reduced number of migrations by taking a new approach of Mode Absolute Deviation. It analyzes the historical data of CPU usages to search the usage pattern of CPU and finds the dynamic thresholds values for migration of virtual machine. The work has been carried out in CloudSim and the results in our work has been better than previous work[1] and we are able to save energy and reduce the number of migrations by using our proposed method.

Keywords

Energy Efficient, host overloading, VM Consolidation, VM Migration, Mode, Cloud Computing.

Visit Publication