Exploiting Traffic Correlation Towards Energy Saving in Data Centers

Zina Chkirbene, Ala Gouissem, Rachid Hadjidj, Ridha Hamila, Sebti Foufou

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

Abstract

Many proposed data center architectures are constructed with a huge number of network devices in order to support the increasing cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. As a result, many devices are set into idle state which increases the network energy consumption and lead to a non-proportionality between the consumed energy and the network load. In this paper, we present a new approach that reduces the data center energy consumption with a reduced trade off on network performance. By exploiting the correlation in time of internode communication and some topological features, the proposed approach uses the outdated traffic matrix to control the set of active communication links and ports in the network (switches ports and nodes ports). The ports activation management process is done using a proposed algorithm that guarantees network connectivity. Extensive simulations have been conducted to validate the performance of the proposed scheme in terms of average path length and energy consumption.

Original languageEnglish (US)
Title of host publication2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538660096
DOIs
StatePublished - Dec 18 2018
Event29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 - Bologna, Italy
Duration: Sep 9 2018Sep 12 2018

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2018-September

Other

Other29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
CountryItaly
CityBologna
Period9/9/189/12/18

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Keywords

  • Average path length
  • Data center network
  • Energy consumption
  • Network topology
  • Scalability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Chkirbene, Z., Gouissem, A., Hadjidj, R., Hamila, R., & Foufou, S. (2018). Exploiting Traffic Correlation Towards Energy Saving in Data Centers. In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 [8580952] (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; Vol. 2018-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2018.8580952