Experimental evaluation of energy savings of virtual machines in the implementation of cloud computing

Roberto Rojas-Cessa, Sarh Pessima, Tingting Tian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Host virtualization has become of great interest as it is a technology that can enable the implementation of cloud computing. For this, it can offer several benefits, such as high levels of sharing of computing resources, ubiquitous availability, and savings on hardware investment. Although it has been claimed that host virtualization can also offer the benefit of energy savings, the levels of savings are unknown. In this paper, we present experimental evaluations of energy expenditure of virtual machines used for computation processes. We measure the energy spent by a number of virtual machines and compare it to the energy spent by a single and multiple (real) Linux hosts. The results show that the virtual machines deliver similar performance to processes run in real machines for small loads, and achieve significant energy savings for a modest number of users. Therefore, it is then expected that there is a number of VMs for what energy savings is optimal. The values also indicate that workstations optimized for virtualization can offer significant benefits.

Original languageEnglish (US)
Title of host publication2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012
Pages65-70
Number of pages6
DOIs
StatePublished - 2012
Event2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012 - Kaohsiung, Taiwan, Province of China
Duration: Apr 19 2012Apr 21 2012

Publication series

Name2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012

Other

Other2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012
CountryTaiwan, Province of China
CityKaohsiung
Period4/19/124/21/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Cloud computing
  • Energy
  • Green Cloud
  • Resource Sharing
  • Task Scheduling

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