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  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Apr 02, 2019 News!The papers published in Vol.7, No.3-No.4 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(4): 275-280 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.167

Video Stream Identification for Traffic Engineering

Kazumasa Oida and Naoto Nakayama

Abstract—Video traffic represents a large fraction of Internet traffic. For efficient service provisioning and controlling traffic based on various policies, measuring detailed user behaviors, such as when, at what rate, how much, and between whom video data are transmitted, is critical. To collect such information, this paper deals with video stream identification, since source or destination address in a packet header may not be reliable for identifying true source and destination. An unsupervised learning algorithm is proposed to perform stream identification. The algorithm overcomes two shortcomings of the existing clusterers. Experimental results show that the rate of correctly grouped classes achieved by the algorithm is 94%.

Index Terms—Stream identification, video traffic, decay rate, unsupervised learning

The authors are with the Department of Computer Science and Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-ku, Fukuoka, 811-0295 Japan (e-mail: oida@fit.ac.jp).


Cite: Kazumasa Oida and Naoto Nakayama, "Video Stream Identification for Traffic Engineering," International Journal of Future Computer and Communication vol. 2, no. 4 pp. 275-280, 2013.

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