A power and thermal-aware virtual machine allocation mechanism for Cloud data centers

Jing V. Wang, Chi Tsun Cheng, Chi Kong Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

With the rapid growing number of Cloud applications, demands for large-scale data centers have raised to historical high. Cloud data centers allow dynamic and flexible resource provisioning to accommodate time varying computational demands. Recent studies have proposed several allocation policies based mainly on power consumption of servers. Host temperature, however, is rarely considered as a monitoring parameter. This work proposes a power and thermal-aware virtual machine (VM) allocation mechanism for Cloud data centers. The objective of the proposed mechanism is to reduce the overall energy consumption and VM migration numbers, while avoiding violations of Service Level Agreements (SLA) in Cloud data centers. The proposed mechanism was implemented and evaluated on CloudSim. Simulation results show that the proposed allocation mechanism brings significant benefits in terms of energy saving and other performance indices.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherIEEE
Pages2850-2855
Number of pages6
ISBN (Electronic)9781467363051
DOIs
Publication statusPublished - 1 Jan 2015
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Conference

ConferenceIEEE International Conference on Communication Workshop, ICCW 2015
Country/TerritoryUnited Kingdom
CityLondon
Period8/06/1512/06/15

Keywords

  • Cloud Computing
  • Data Centers
  • Energy Consumption
  • Thermal Aware
  • Virtualization

ASJC Scopus subject areas

  • Computer Networks and Communications

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