• DocumentCode
    1328692
  • Title

    Detecting suspended video streams through variance-time analysis

  • Author

    Oida, Kazumasa

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Fukuoka Inst. of Technol., Fukuoka, Japan
  • Volume
    6
  • Issue
    1
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    56
  • Lastpage
    63
  • Abstract
    To detect suspended video streams, an algorithm is proposed which analyzes traffic data to sense changes in variances. The objective of the algorithm is to help restart suspended streams as quickly as possible in cooperation with network administrators, mechanisms to change routes, etc. The algorithm handles traffic data of a number of streams all together to detect one or more suspended streams without using the information on the number of streams and on each stream´s data rate. It works with the same parameter values for both LAN and WAN traffic streams, even if their packet interarrival-time distributions are different. Experiments with 41 live TV streams showed that suspension is detectable when the traffic rate decrease caused by the suspension is 1.6%.
  • Keywords
    Internet; telecommunication traffic; time series; video streaming; Internet traffic analysis; LAN traffic stream; WAN traffic stream; packet interarrival-time distribution; suspended video streams detection; traffic time series; variance-time analysis; Analysis of variance; Change detection algorithms; Cryptography; Internet; Streaming media; TV; Telecommunication traffic; Video sharing; Videoconference; Virtual private networks; Suspension detection, video stream, variancetime-plot, Internet traffic analysis;
  • fLanguage
    English
  • Journal_Title
    Network and Service Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1932-4537
  • Type

    jour

  • DOI
    10.1109/TNSM.2009.090305
  • Filename
    5331281