Intelligent path control for energy-saving in hybrid SDN networks

Xuya Jia, Yong Jiang, Zehua Guo, Gengbiao Shen, Lei Wang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

As power consumption of the internet has been growing quickly in recent years, saving energy has become an important problem of networking research. Software-Defined Networking (SDN) brings excellent opportunities to improve network performance and reduce energy consumption by flexible centralized control. However, due to budget constraints and technique limitations, ISPs can upgrade only a limited number of conventional switches in backbone networks to SDN devices at one time. In this paper, we propose one heuristic scheme for incrementally deploy SDN switches in hybrid SDNs, the objective of which is to achieve energy saving by rerouting the flows to shut down idle links and switches as many as possible. Our solution can achieve two objectives: 1) maximizing the network control ability with a given SDN switches upgrading budget constraint, and 2) maximizing energy saving by shutting down idle links and switches with deployed SDN switches. The results of evaluations show that our scheme can achieve 95% of the number of flows controlled with only 10% of upgrading cost, and it also can achieve saving more about 10% of the total power consumption when compared to the existing solutions.

Original languageEnglish (US)
Pages (from-to)65-76
Number of pages12
JournalComputer Networks
Volume131
DOIs
StatePublished - Feb 11 2018

Bibliographical note

Funding Information:
This research is supported in part by the 973 Program of China (No. 2012CB315803), the National Natural Science Foundation of China (No. 61402255 ), and the Research Fund for the Doctoral Program of Higher Education of China (No. JSGG20150512162853495, No.Shenfagai[2015]986, and JCYJ20150630170146830). The research is also supported by the National Natural Science Foundation of China under Grant 61625203 , the National Key R and D Program of China under Grant 2016YFC0901605, the R and D Program of Shenzhen under Grant JCYJ20170307153157440 and JCYJ20160531174259309.

Publisher Copyright:
© 2017 Elsevier B.V.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • Energy saving
  • Network management
  • Software-defined networking
  • Switch deployment

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