An Energy-Saving Load Balancing Method in Cloud Data Centers

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

With the development of virtualization technology, data center virtualization in Cloud Computing gradually become a hot topic. In the premise of ensuring users’ SLA, this paper considers the utilization of server resources, whose objective is to minimize the number of opening servers. We propose an energy-saving strategy based on live virtual machines migration. Our ARMA-based load forecasting reduces the occurrence of virtual machines’ migration caused by instantaneous load peaks. Then we select migration virtual machines and destination servers based on our proposed algorithms. Finally, the data center reaches a load balancing state. The experiments show that the strategy can improve server resource utilization and reduce energy consumption.

Keywords

Cloud computing Virtual resource scheduling Virtual machine migration Energy-saving 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.School of Management Science and EngineeringShandong Normal UniversityJi’nanChina

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