Empirical evaluation of vector bin packing algorithms for energy efficient data centers

Lei Shi, John Furlong, Runxin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Citations (Scopus)

Abstract

As the proliferation of cloud data centers has been progressing in recent years, the power consumed in cloud enterprises has increased also. Strategies to reduce the power consumption of a data center can be modelled into variants of vector bin packing algorithms. The application of virtualization technology allows a large number of virtual machines (VMs), treated as items, to be concurrently hosted into relatively fewer number of Physical Machines (PMs), treated as bins, as long as the sum capacity of the co-located VMs does not exceed the capacity of a hosting PM. This paper addresses the problem of which vector bin packing strategy to use in attempting to first consolidate VMs in a data center, the aim of which is to reduce power consumption by powering off unused PMs, then going forward, which strategy to adopt when packing new VM requests to PMs as optimally as possible.

Original languageEnglish
Title of host publication2013 IEEE Symposium on Computers and Communications, ISCC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-15
Number of pages7
ISBN (Print)9781479937554
DOIs
Publication statusPublished - 2013
Event18th IEEE Symposium on Computers and Communications, ISCC 2013 - Split, Croatia
Duration: 07 Jul 201310 Jul 2013

Publication series

NameProceedings - International Symposium on Computers and Communications
ISSN (Print)1530-1346

Conference

Conference18th IEEE Symposium on Computers and Communications, ISCC 2013
Country/TerritoryCroatia
CitySplit
Period07/07/201310/07/2013

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