Energy models driven green routing for data centers

Shivashis Saha, Jitender S. Deogun, Lisong Xu

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

9 Scopus citations

Abstract

Energy consumption is becoming a serious issue for data centers. Minimizing the energy consumption of a data center is a complex problem. It consists of developing energy models for servers and network elements and investigating energy-aware (green) routing strategies using these models. In this paper, we adapt energy models for servers and network elements in a data center. The server energy model incorporates the impact of temperature and voltage of a server on its leakage energy. Using the server and network energy models, we propose a green routing scheme that minimizes the total combined energy consumption of servers and network elements in a data center under dynamic traffic. The proposed green routing scheme uses dynamic voltage scaling, rate adaptation, and anycast transmission for minimizing the total energy consumption. Extensive simulation results validate the effectiveness of the proposed green routing in minimizing the total energy consumption of a data center as compared to well-known existing approaches.

Original languageEnglish (US)
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages2529-2534
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: Dec 3 2012Dec 7 2012

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
CountryUnited States
CityAnaheim, CA
Period12/3/1212/7/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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