An energy efficient virtual machine placement algorithm with balanced resource utilization

Wei Huang, Xin Li, Zhuzhong Qian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations

Abstract

Virtualization is a key technology for resource sharing in IaaS/PaaS cloud infrastructures. One primary issue in virtualization is the virtual machine placement (VMP) problem, which is to choose proper physical machine (PM) to deploy virtual machines (VMs) in runtime. In this paper, we study the VMP problem with the goal of minimizing the total energy consumption. We first present a multi-dimensional space partition model to characterize the resource usage states of PMs. Based on this model, we then propose a virtual machine placement algorithm, which can balance the utilization of multi-dimensional resources, reduce the number of running PMs and thus lower down the energy consumption. We also evaluate our proposed balanced algorithm via extensive simulations. Simulation results show that our approach can save as much as 15% energy compared to the first fit algorithm over a long run.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013
Pages313-319
Number of pages7
DOIs
StatePublished - 2013
Externally publishedYes
Event7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013 - Taichung, Taiwan, Province of China
Duration: 3 Jul 20135 Jul 2013

Publication series

NameProceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013

Conference

Conference7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013
Country/TerritoryTaiwan, Province of China
CityTaichung
Period3/07/135/07/13

Fingerprint

Dive into the research topics of 'An energy efficient virtual machine placement algorithm with balanced resource utilization'. Together they form a unique fingerprint.

Cite this