A Fine-Grained Video Traffic Control Mechanism in Software-Defined Networks

Jun Huang, Qiang Duan, Cong Cong Xing, Bo Gu, Guodong Wang, Sherali Zeadally, Erich Baker

Research output: Contribution to journalArticlepeer-review


We investigate how to provide Quality-of-Service (QoS) for diversified video flows. We design a fine-grained video traffic control mechanism that integrates traffic classification with path selection for video flows within the framework of SDN. For the design, we present a category-theoretic ontology log (olog) diagram model, which provides a novel perspective on the interdependency among various system components. For the video traffic classification, we first evaluate various machine learning classifiers in terms of their performance and then chose the most effective one to be the first module. For the path selection, we devise a multi-constrained QoS routing strategy by restructuring a state-of-the-art graph algorithm, combine it with the k-shortest path algorithm, and deploy this strategy as another video traffic control module. We implemented a prototype of the proposed mechanism on the SDN emulator Mininet, and we evaluate its effectiveness using the performance results obtained.

Original languageEnglish
Pages (from-to)3501-3515
Number of pages15
JournalIEEE Transactions on Network and Service Management
Issue number3
StatePublished - Sep 1 2022

Bibliographical note

Publisher Copyright:
© 2004-2012 IEEE.


  • Software-defined networks (SDN)
  • path selection
  • quality-of-service (QoS)
  • traffic classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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