EQVMP: Energy-efficient and QoS-aware virtual machine placement for software defined datacenter networks

Shao Heng Wang, Patrick P.W. Huang, Hung-Pin Wen, Li-Chun Wang

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

45 Scopus citations

Abstract

To provide effective and reliable services, cloud datacenters need parallel computing and virtualization techniques. This work presents an improved virtual machine (VM) placement mechanism, called Energy efficiency and Quality of Service (QoS) aware VM Placement (EQVMP) to overcome the problem of unbalanced traffic load in switching on and off VMs for the purpose of energy saving. EQVMP combines three key techniques: (1) hop reduction, (2) energy saving and (3) load balancing. Hop reduction can regroup VMs to lower the traffic load among them. Energy saving techniques aim at choosing the appropriate servers. The proposed load balancing updates VM placement periodically. Our experimental results show that the proposed scheme can lower energy consumption and maintain QoS. We propose an evaluation score [1] to assess VM placement in terms of energy, delay and throughput. Comparing to other existing placement policies, our proposed mechanism can enhance system throughput by 25% and can have better evaluation score.

Original languageEnglish
Title of host publicationInternational Conference on Information Networking 2014, ICOIN 2014
PublisherIEEE Computer Society
Pages220-225
Number of pages6
ISBN (Print)9781479936892
DOIs
StatePublished - 1 Jan 2014
Event2014 28th International Conference on Information Networking, ICOIN 2014 - Phuket, Thailand
Duration: 10 Feb 201412 Feb 2014

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684

Conference

Conference2014 28th International Conference on Information Networking, ICOIN 2014
CountryThailand
CityPhuket
Period10/02/1412/02/14

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