Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/8583
Title: Novel energy efficient virtual machine allocation at data center using Genetic algorithm
Authors: Sharma, N.K.
Ram Mohana Reddy, Guddeti
Issue Date: 2015
Citation: 2015 3rd International Conference on Signal Processing, Communication and Networking, ICSCN 2015, 2015, Vol., , pp.-
Abstract: Increased resources utilization from clients in a smart computing environment poses a greater challenge in allocating optimal energy efficient resources at the data center. Allocation of these optimal resources should be carried out in such a manner that we can save the energy of data center as well as avoiding the service level agreement (SLA) violation. This paper deals with the design of an energy efficient algorithm for optimized resources allocation at data center using combined approach of Dynamic Voltage Frequency Scaling (DVFS) and Genetic algorithm (GA). The performance of the proposed energy efficient algorithm is compared with DVFS. Experimental results demonstrate that the proposed energy efficient algorithm consumes 22.4% less energy over a specified workload with 0% SLA violation. � 2015 IEEE.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/8583
Appears in Collections:2. Conference Papers

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