HERO: Hierarchical energy optimization for data center networks

Yan Zhang, Nirwan Ansari

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

24 Scopus citations

Abstract

With the rapid growth of data center networks in providing a myriad of services and applications to store, access, and process data, the power consumption of data center networks has become critically important and must be efficiently managed. In this paper, we discuss the power optimization of data center networks in a hierarchical perspective. We establish a two-level power optimization model to reduce the power consumption of data center networks by switching off network switches and links while still guaranteeing full connectivity and maximum link utilization. After having shown that the addressed problem falls in the class of capacity constraint multi-commodity flow problems, we design several simple heuristic algorithms to solve the problem. Our simulations show that hierarchical energy optimization can effectively save power consumption in data center networks.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Communications, ICC 2012
Pages2924-2928
Number of pages5
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Conference on Communications, ICC 2012 - Ottawa, ON, Canada
Duration: Jun 10 2012Jun 15 2012

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Other

Other2012 IEEE International Conference on Communications, ICC 2012
CountryCanada
CityOttawa, ON
Period6/10/126/15/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Data Center Networks (DCNs)
  • Energy Efficiency
  • Power optimization

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