Traffic-aware load balancing for M2M networks using SDN

Yu Jia Chen, Yi Hsin Shen, Li-Chun Wang

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

7 Scopus citations

Abstract

To relieve the heavy loading caused by burst machine-to-machine (M2M) traffic and also satisfy various quality of service (QoS) requirements, load balancing techniques are often introduced in M2M networks. In recent years, software-defined networking (SDN) has shown the possibility of improving load balancing technique. In this paper, we propose traffic-aware load balancing mechanism for M2M networks using SDN. The proposed mechanism can satisfy different QoS requirements of M2M traffic by instant traffic identification and dynamic traffic rerouting, which leverage the capability of SDN to dynamically monitor and control the entire network.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014
PublisherIEEE Computer Society
Pages668-671
Number of pages4
Volume2015-February
EditionFebruary
ISBN (Electronic)9781479940936
DOIs
StatePublished - 9 Feb 2015
Event2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014 - Singapore, Singapore
Duration: 15 Dec 201418 Dec 2014

Publication series

NameProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
ISSN (Print)2330-2194

Conference

Conference2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014
CountrySingapore
CitySingapore
Period15/12/1418/12/14

Keywords

  • Load balancing
  • M2M networks
  • Software-defined networking

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