• DocumentCode
    1344225
  • Title

    A Unified Approach to Infinitesimal Perturbation Analysis in Stochastic Flow Models: The Single-Stage Case

  • Author

    Wardi, Yorai ; Adams, Richelle ; Melamed, Benjamin

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    55
  • Issue
    1
  • fYear
    2010
  • Firstpage
    89
  • Lastpage
    103
  • Abstract
    This paper develops an abstract framework for Infinitesimal Perturbation Analysis (IPA) in the setting of stochastic flow models, and it applies it to several problems arising in the study of flow control in single-server fluid-flow queues. The framework is based on a switched-mode hybrid-system paradigm, and especially on the interplay between its discrete-event dynamics and continuous-time dynamics. It is quite general, and most of the formulas obtained to-date for IPA on single-server queues can be derived from it as simple corollaries. Additional new results can be derived as well, and the paper demonstrates it by considering a queue with loss-rate-based flow control. The main contribution of the paper is in the proposed framework and its apparent broad scope. Its possible extension to a general class of fluid-flow queueing networks appears likely, and will be pointed out as a direction for future research.
  • Keywords
    continuous time systems; discrete event systems; flow control; perturbation techniques; queueing theory; stochastic systems; continuous-time dynamics; discrete-event dynamics; flow control; infinitesimal perturbation analysis; single-server fluid-flow queues; stochastic flow models; switched-mode hybrid-system paradigm; Computer networks; Fluid dynamics; Fluid flow control; Queueing analysis; Routing; Stochastic processes; Stochastic systems; Telecommunication traffic; Traffic control; Yield estimation; Fluid-flow queues; infinitesimal perturbation analysis (IPA); stochastic hybrid systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2009.2034228
  • Filename
    5342462