• DocumentCode
    763036
  • Title

    An estimator of regulator parameters in a stochastic setting

  • Author

    Valaee, Shahrokh ; Grégoire, Jean-Charles

  • Author_Institution
    Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
  • Volume
    13
  • Issue
    6
  • fYear
    2005
  • Firstpage
    1376
  • Lastpage
    1389
  • Abstract
    This paper develops a new network provisioning and resource allocation scheme. We introduce the concept of the effective burstiness curve (EBC), which is defined as a percentile of the maximum burstiness curve. For a fixed service rate, EBC represents the size of a buffer for which the probability of buffer overflow is arbitrarily small. We show that EBC is a convex nonincreasing function of the service rate. We also introduce the empirical effective burstiness curve (EEBC), an estimator of EBC, which can be obtained with a water-filling algorithm. For discrete queue size, EEBC can be evaluated with a recursive algorithm. The technique is applied to MPEG4 encoded video traces.
  • Keywords
    quality of service; queueing theory; recursive estimation; resource allocation; stochastic processes; buffer overflow probability; discrete queue size; empirical effective burstiness curve; network provisioning; recursive algorithm; regulator parameters estimator; resource allocation scheme; stochastic setting; water-filling algorithm; Autocorrelation; Buffer overflow; Intelligent networks; Parameter estimation; Quality of service; Regulators; Resource management; Stochastic processes; Telecommunication traffic; Traffic control; Burstiness curve; fluid-flow traffic; leaky bucket regulator; quality of service; water-filling;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2005.861253
  • Filename
    1561231