Dynamic flow consolidation for energy savings in green DCNs

Chao Zhu, Yu Xiao, Yong Cui, Zhenjie Yang, Shihan Xiao, Antti Ylä-Jääski

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

3 Citations (Scopus)

Abstract

Energy consumption of data center has become an important challenge due to high electric cost and carbon dioxide emissions. Previous work has mainly focused on saving energy cost of servers, though the energy consumption of data center networks (DCNs), consisting of networking equipments like switches, also takes a significant part of the overall energy consumption. In this paper, we propose ProCons, an energy saving mechanism that dynamically consolidates traffic flows onto a small set of networking equipments in order to shut down idle ones for energy saving. Different from previous works that assume the traffic demands to be stable, ProCons takes into account the variance of traffic demand over time, and predicts future demand based on historical statistics. The traffic flows are then scheduled based on the predicted future demands and the capacity of each link. We evaluate ProCons with real life traces collected from data centers using a flow-level simulator. Our experimental results show that using ProCons, 40% of energy savings for DCNs can be gained while maintaining the good performance of flow transmission.

Original languageEnglish
Title of host publication2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015
PublisherIEEE
Number of pages8
ISBN (Electronic)978-1-4673-8590-9
DOIs
Publication statusPublished - 17 Feb 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Performance Computing and Communications Conference - Nanjing, China
Duration: 14 Dec 201516 Dec 2015
Conference number: 34

Conference

ConferenceIEEE International Performance Computing and Communications Conference
Abbreviated titleIPCC
CountryChina
CityNanjing
Period14/12/201516/12/2015

Keywords

  • Energy consumption; data center; network

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