A congestion avoidance algorithm in SDN environment

Seungbeom Song, Jaiyong Lee, Kyuho Son, Hangyong Jung, Jihoon Lee

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

31 Citations (Scopus)


It is expected that large number of IoT devices and IoT network will be connected to the Internet. In these environments, congestion of network links could be rapidly increased due to the bust IoT traffic especially related with video devices. To avoid the congestion, currently, End-devices control the congestion links by using congestion control scheme on TCP stack such as Tahoe, Reno, NewReno, and CUBIC, However, the increased traffic connected by the IoT devices and network would much degrade the network throughput and TCP resilience. This paper proposes the flow congestion avoidance algorithm controlled by the network in SDN(Software Defined Networking) environment. In the proposed scheme, link utilization is calculated in SDN controller and recalculated rerouting algorithm is applied to switches which would be configured by using Openflow configuration protocol. To verify the improved performance, a video stream is applied to the proposed algorithm in SDN environment. We could achieve the 11% of throughput enhancement and reduced RTT in the experimental video stream application. This result refers that we could achieve improved resilience of TCP with near-lossless by controlling network.

Original languageEnglish
Title of host publication30th International Conference on Information Networking, ICOIN 2016
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781509017249
Publication statusPublished - 2016 Mar 7
Event30th International Conference on Information Networking, ICOIN 2016 - Kota Kinabalu, Malaysia
Duration: 2016 Jan 132016 Jan 15

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684


Other30th International Conference on Information Networking, ICOIN 2016
CityKota Kinabalu

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems


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