University of Surrey

Test tubes in the lab Research in the ATI Dance Research

An energy aware cost recovery approach for virtual machine migration

Zakarya, Muhammad and Gillam, Lee (2017) An energy aware cost recovery approach for virtual machine migration In: Economics of Grids, Clouds, Systems, and Services. GECON 2016 Proceedings. LNCS 10382, 10382 . Springer, pp. 175-190.

[img]
Preview
Text
GECON-2016-FinalVersion.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (329kB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

Datacenters provide an IT backbone for today's business and economy, and are the principal electricity consumers for Cloud computing. Various studies suggest that approximately 30% of the running servers in US datacenters are idle and the others are under-utilized, making it possible to save energy and money by using Virtual Machine (VM) consolidation to reduce the number of hosts in use. However, consolidation involves migrations that can be expensive in terms of energy consumption, and sometimes it will be more energy efficient not to consolidate. This paper investigates how migration decisions can be made such that the energy costs involved with the migration are recovered, as only when costs of migration have been recovered will energy start to be saved. We demonstrate through a number of experiments, using the Google workload traces for 12,583 hosts and 1,083,309 tasks, how different VM allocation heuristics, combined with different approaches to migration, will impact on energy effciency. We suggest, using reasonable assumptions for datacenter setup, that a combination of energy-aware ll-up VM allocation and energy-aware migration, and migration only for relatively long running VMs, provides for optimal energy efficiency.

Item Type: Book Section
Subjects : Computer Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Zakarya, Muhammadmohd.zakarya@surrey.ac.ukUNSPECIFIED
Gillam, LeeL.Gillam@surrey.ac.ukUNSPECIFIED
Date : 2 July 2017
Identification Number : 10.1007/978-3-319-61920-0_13
Copyright Disclaimer : The final publication is available at link.springer.com
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDSpringer, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Datacenters, Resource management, Server consolidation
Related URLs :
Additional Information : Paper presented at the 13th International Conference, GECON 2016, Athens, Greece, September 20-22, 2016
Depositing User : Symplectic Elements
Date Deposited : 21 Mar 2017 15:55
Last Modified : 24 Oct 2017 10:55
URI: http://epubs.surrey.ac.uk/id/eprint/813810

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800