• DocumentCode
    65711
  • Title

    Ordinary Differential Equation-Based Deadlock Detection

  • Author

    Zuohua Ding ; Mengchu Zhou ; ShouGuang Wang

  • Author_Institution
    Inst. of Intell. Comput. & Software Eng., Zhejiang Sci-Tech Univ., Hangzhou, China
  • Volume
    44
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1435
  • Lastpage
    1454
  • Abstract
    Deadlock detection for concurrent systems via static analysis is in general difficult because of state-space explosion; indeed it is PSPACE compete. This paper presents a new method to detect the deadlocks. A concurrent system consisting of several processes that communicate using a resource sharing mechanism is represented by a set of ordinary differential equations of a restricted type. The equations describe the system state changes, and their solutions, also called state measures, indicate the extent to which the state can be reached in execution. Based on the solutions, the resource deadlock can be detected. By taking into account the computation errors of numerical solution for the differential equations, the detection can be performed via a MATLAB solver, as shown in the experiments. The complexity of the proposed method is polynomial.
  • Keywords
    computational complexity; concurrency control; differential equations; program diagnostics; resource allocation; MATLAB solver; PSPACE compete problem; concurrent systems; deadlock detection; ordinary differential equation; polynomial complexity; resource deadlock; resource sharing mechanism; state-space explosion; static analysis; Concurrent computing; Differential equations; Explosions; Mathematical model; Petri nets; Resource management; System recovery; Concurrent program; concurrent system; continuous Petri net; deadlock detection; ordinary differential equation; state space explosion;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMC.2014.2311757
  • Filename
    6783791