• DocumentCode
    866550
  • Title

    Modeling intramedia and intermedia relationships in multimedia network analysis through multiple timescale statistics

  • Author

    Lombardo, Alfio ; Morabito, Giacomo ; Schembra, Giovanni

  • Author_Institution
    Dipt. di Ingegneria Informatica e delle Telecomunicazioni, Catania Univ., Italy
  • Volume
    6
  • Issue
    1
  • fYear
    2004
  • Firstpage
    142
  • Lastpage
    157
  • Abstract
    In this paper, a hierarchical paradigm modeling both the intramedia and intermedia time relationships of multimedia sources is derived. Each multimedia source is considered as being made up of a master monomedia source, which is independent, and slave monomedia sources, which are dependent on the master. The paradigm takes different timescale statistics into account and is used to characterize intermedia relationships in terms of the second-order statistics of the multimedia source. Finally, the impact of intermedia relationships on the performance of each monomedia source making up a multimedia source is analyzed when a number of multimedia sources are multiplexed together. The error introduced in both loss and jitter performance analysis when intermedia relationships are not modeled is evaluated through a case study. Numerical results show that this error may be dramatically significant in many common scenarios.
  • Keywords
    jitter; multimedia communication; statistics; telecommunication traffic; intermedia time relationships modeling; intramedia time relationships modeling; jitter performance analysis; loss analysis; master monomedia source; multimedia network analysis; multimedia sources; multiple timescale statistics; multiplexing; second-order statistics; slave monomedia sources; Intelligent networks; Jitter; Master-slave; Performance analysis; Quality of service; Statistical analysis; Statistics; Streaming media; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2003.819750
  • Filename
    1261893