• DocumentCode
    1788589
  • Title

    On the accuracy of the effective bandwidth regenerative estimation

  • Author

    Borodina, Alexandra V. ; Kalinina, Ksenia A. ; Morozov, Evsey V.

  • Author_Institution
    Karelian Res. Centre, Petrozavodsk State Univ., Petrozavodsk, Russia
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    552
  • Lastpage
    556
  • Abstract
    We consider the effective bandwidth (EB) estimation in the networks with the regenerative input. Based on the Lindley´s-type recursion for the workload process in discrete and continuous time, we apply a large deviation approach to construct a regenerative estimate of the required EB in the nodes of tandem queuing networks. Simulation shows that the regenerative estimator overestimates the EB, while the standard batch means estimator implies underestimation. We study the accuracy of the regenerative estimation and, in particular, calculate the magnitude of the overestimation using either analytical expression (when available), or Monte-Carlo simulation. It is shown that for the considered models the overestimation is not significant, and thus regenerative estimation is relevant to evaluate the required capacities of the components of highly reliable systems.
  • Keywords
    Monte Carlo methods; bandwidth allocation; queueing theory; Lindley-type recursion; Monte-Carlo simulation; analytical expression; bandwidth regenerative estimation; continuous time; deviation approach; discrete time; effective bandwidth regenerative estimation; tandem queuing networks; workload process; Bandwidth; Estimation; Information systems; Mathematical model; Probability; Quality of service; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2014 6th International Congress on
  • Conference_Location
    St. Petersburg
  • Type

    conf

  • DOI
    10.1109/ICUMT.2014.7002161
  • Filename
    7002161