Honeyguide: A VM migration-aware network topology for saving energy consumption in data center networks

Hiroki Shirayanagi, Hiroshi Yamada, Kenji Kono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Citations (Scopus)

Abstract

Network elements consume 10-20% of the total power in data centers. Today's network elements are not energy-proportional and consume constant energy 1 regardless of the traffic amounts. Thus, turning off unused network switches is the most efficient way of saving energy consumption of data center networks. This paper presents Honeyguide, an energy optimizer for data center networks that not only turns off inactive switches but also increases the number of inactive switches for energy-efficiency. To this end, Honeyguide combines two techniques: 1) virtual machine (VM) and traffic consolidation, and 2) a slight extension to existing tree-based topologies. Honeyguide has the following advantages. VM consolidation, which is gracefully combined with traffic consolidation, can handle severe requirements on fault tolerance. It can be introduced into existing data centers without replacing already-deployed tree-based topologies. Our simulation results demonstrate that Honeyguide can save more energy consumption of network elements than conventional VM migration schemes, and the savings are up to 7.8% in a fat tree with k 12.

Original languageEnglish
Title of host publication2012 IEEE Symposium on Computers and Communications, ISCC 2012
Pages460-467
Number of pages8
DOIs
Publication statusPublished - 2012
Event17th IEEE Symposium on Computers and Communication, ISCC 2012 - Cappadocia, Turkey
Duration: 2012 Jul 12012 Jul 4

Publication series

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

Other

Other17th IEEE Symposium on Computers and Communication, ISCC 2012
Country/TerritoryTurkey
CityCappadocia
Period12/7/112/7/4

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Mathematics(all)
  • Computer Science Applications
  • Computer Networks and Communications

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