• DocumentCode
    1559960
  • Title

    Tail probability of transient and stationary waiting times in (max,+)-linear systems

  • Author

    Ayhan, Hayriye ; Seo, Dong-Won

  • Author_Institution
    Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    47
  • Issue
    1
  • fYear
    2002
  • fDate
    1/1/2002 12:00:00 AM
  • Firstpage
    151
  • Lastpage
    157
  • Abstract
    (Max,+) linear systems can be used to represent a class of queueing networks, such as acyclic or cyclic fork-and-join queueing networks, finite- or infinite-capacity tandem queueing networks with various types of blocking, synchronized queueing networks, and so on. In this paper, we derive explicit expressions for the tail probability of transient and stationary waiting times in Poisson-driven (max,+) linear systems. As an application of our results, we consider the problem of maximizing the long-run average throughput subject to a probabilistic constraint on stationary waiting times in (max,+) linear systems with deterministic service times
  • Keywords
    Poisson distribution; linear systems; optimisation; probability; queueing theory; stochastic processes; synchronisation; transient analysis; Poisson-driven (max,+)-linear systems; blocking; deterministic service times; fork-and-join queueing networks; input control; long-run average throughput maximization; probabilistic constraint; queueing networks; series expansions; stationary waiting times; stochastic event graphs; synchronized queueing networks; tail probability; tandem queueing networks; transient waiting times; Capacity planning; Intelligent networks; Laplace equations; Linear systems; Petri nets; Stochastic processes; Stochastic systems; Tail; Throughput; Virtual manufacturing;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.981736
  • Filename
    981736