• DocumentCode
    294275
  • Title

    Smoothed perturbation analysis estimates for stationary multi-class queues

  • Author

    Miyoshi, Naoto

  • Author_Institution
    Div. of Appl. Syst. Sci., Kyoto Univ., Japan
  • Volume
    3
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    2612
  • Abstract
    Recently, Konstantopoulos and Zazanis and Bremaud and Lasgouttes derive the infinitesimal perturbation analysis estimator for the stationary and ergodic G/G/1 queue using Palm calculus, where neither regenerative structure nor convex property are required and the strong consistency is ensured by ergodic theorem. This work has been motivated by them and derives the smoothed perturbation analysis (SPA) estimator on the stationary and ergodic framework. We deal with multi-class queues in this paper but our key formula is expected to be useful to the systems to which the SPA is applicable
  • Keywords
    convergence of numerical methods; estimation theory; perturbation techniques; queueing theory; G/G/1 queue; Palm calculus; ergodic theorem; infinitesimal perturbation analysis; smoothed perturbation analysis; stationary multi-class queues; strong consistency; Calculus; Convergence; Distribution functions; H infinity control; Performance analysis; Queueing analysis; Random variables; Steady-state; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.478502
  • Filename
    478502