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.

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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 :	Name Email ORCID Zakarya, Muhammad mohd.zakarya@surrey.ac.uk Gillam, Lee L.Gillam@surrey.ac.uk
Editors :	Name Email ORCID Bañares, J Tserpes, K Altmann, J
Date :	2 July 2017
DOI :	10.1007/978-3-319-61920-0_13
Copyright Disclaimer :	The final publication is available at link.springer.com
Contributors :	Contribution Name Email ORCID Springer,
Uncontrolled Keywords :	Datacenters, Resource management, Server consolidation
Related URLs :	Publisher
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 :	16 Jan 2019 17:13
URI:	http://epubs.surrey.ac.uk/id/eprint/813810

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