• DocumentCode
    27711
  • Title

    A Polynomial Algorithm to Performance Analysis of Concurrent Systems Via Petri Nets and Ordinary Differential Equations

  • Author

    Zuohua Ding ; Yuan Zhou ; Mengchu Zhou

  • Author_Institution
    Lab. of Intell. Comput. & Software Eng., Zhejiang Sci-Tech Univ., Hangzhou, China
  • Volume
    12
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    295
  • Lastpage
    308
  • Abstract
    In this paper, a new method is proposed to evaluate the performance of concurrent systems. A concurrent system consisting of multiple processes that communicate via message passing mechanisms is modeled by a Petri net, which is in turn represented by a set of ordinary differential equations (ODEs) of a restricted type. The equations describe the system state changes, and the solutions, also called state measures, can be used for the performance analysis such as estimating response time, throughput and efficiency. This method can avoid a state explosion problem encountered by the conventional methods based on Continuous-Time Markov Chains. Its application to an IBM business system is given as an example.
  • Keywords
    Markov processes; Petri nets; concurrency control; differential equations; message passing; polynomials; IBM business system; ODE; Petri nets; concurrent systems; continuous-time Markov chains; efficiency estimation; message passing mechanism; ordinary differential equations; performance analysis; performance evaluation; polynomial algorithm; response time estimation; state measures; throughput estimation; Approximation methods; Equations; Mathematical model; Message passing; Performance analysis; Petri nets; Semantics; Continuous Petri net (CPN); continuous-time Markov chain (CTMC); discrete-event systems; ordinary differential equation; performance analysis; stochastic Petri net;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2013.2285574
  • Filename
    6684591