Automata Approach to Reduce Power Consumption in Smart Grid Cloud Data Center

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Today, in the cloud data center reduction in power consumption is one of the most difficult tasks in the Information and Communication Technology. In the cloud, data center includes reservoirs which process the power to meet user needs while computing. Presently. Data centers have become increasingly popular by user acceptance. The challenging task is to reduce high energy consumption in data center servers in the cloud computing environment which results in increased cost of maintenance and CO2 emission. In this paper, automata approach has been proposed and then compared with various approaches which optimize the hardware, software components reducing the power utilization in the data center servers using virtualization technology. Dynamic voltage and frequency scaling approach based on the learning automata are used to reach a compromise and decrease the energy consumption in the data center. Power can be saved by shutting down the servers during idle period and consumption is maximum during peak period.

Keywords

Learning automata Virtual machine consolidation Threshold MMT DVFS 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.R V College of EngineeringBengaluruIndia

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