Energy-efficient data center networks planning with virtual machine placement and traffic configuration

Ting Yang, Young Choon Lee, Albert Y. Zomaya

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

21 Citations (Scopus)

Abstract

Data Center (DC), the underlying infrastructure of cloud computing, becomes startling large with more powerful computing and communication capability to satisfy the wide spectrum of composite applications. In a large scale DC, a great number of switches connect servers into one complex network. The energy consumption of this communication network has skyrocketed and become the same league as the computing servers' costs. More than one-third of the total energy in DCs is consumed by communication links, switching and aggregation elements. Saving Data Center Network (DCN) energy to improve data center efficiency (power usage effectiveness or PUE) become the key technique in green computing. In this paper, we present VPTCA as an energy-efficient data center network planning solution that collectively deals with virtual machine placement and communication traffic configuration. VPTCA aims to reduce the DCN's energy consumption. In particular, interrelated VMs are assigned into the same server or pod, which effectively helps to reduce the amount of transmission load. In the layer of traffic message, VPTCA optimally uses switch ports and link bandwidth to balance the load and avoid congestions, enabling DCN to increase its transmission capacity, and saving a significant amount of network energy. In our evaluation via NS-2 simulations, the performance of VPTCA is measured and compared with two well-known DCN management algorithms, Global First Fit and Elastic Tree. Based on our experimental results, VPTCA outperforms existing algorithms in providing DCN more transmission capacity with less energy consumption.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages284-291
Number of pages8
ISBN (Electronic)9781479940936
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event6th International Conference on Cloud Computing Technology and Science - Singapore, Singapore, Singapore
Duration: 15 Dec 201418 Dec 2014

Publication series

NameInternational Conference on Cloud Computing Technology and Science
PublisherIEEE
ISSN (Print)2330-2194

Conference

Conference6th International Conference on Cloud Computing Technology and Science
CitySingapore
Period15/12/1418/12/14

Keywords

  • Data center network
  • Energy efficiency
  • Traffic configuration
  • Virtual machine placement

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