Renewable energy-aware inter-datacenter virtual machine migration over elastic optical networks

Liang Zhang, Tao Han, Nirwan Ansari

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

11 Scopus citations

Abstract

Datacenters (DCs) are deployed in a large scale to support the ever increasing demand for data processing to support various applications. The energy consumption of DCs becomes a critical issue. Powering DCs with renewable energy can effectively reduce the brown energy consumption and thus alleviates the energy consumption problem. Owing to geographical deployments of DCs, the renewable energy generation and the data processing demands usually vary in different DCs. Migrating virtual machines (VMs) among DCs according to the availability of renewable energy helps match the energy demands and the renewable energy generation in DCs, and thus maximizes the utilization of renewable energy. Since migrating VMs incurs additional traffic in the network, the VM migration is constrained by the network capacity. The inter-datacenter (inter-DC) VM migration with network capacity constraints is an NP-hard problem. In this paper, we propose two heuristic algorithms that approximate the optimal VM migration solution. Through extensive simulations, we show that the proposed algorithms, by migrating VM among DCs, can reduce up to 31% of brown energy consumption.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages440-443
Number of pages4
ISBN (Electronic)9781467395601
DOIs
StatePublished - Feb 1 2016
Event7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 - Vancouver, Canada
Duration: Nov 30 2015Dec 3 2015

Publication series

NameProceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015

Other

Other7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015
Country/TerritoryCanada
CityVancouver
Period11/30/1512/3/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computational Theory and Mathematics

Keywords

  • Cloud Computing
  • Elastic Optical Networks
  • Manycast

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