Monitoring the Full Range of ω -Regular Properties of Stochastic Systems

  • Authors:
  • Kalpana Gondi;Yogeshkumar Patel;A. Prasad Sistla

  • Affiliations:
  • University of Illinois at Chicago,;University of Illinois at Chicago,;University of Illinois at Chicago,

  • Venue:
  • VMCAI '09 Proceedings of the 10th International Conference on Verification, Model Checking, and Abstract Interpretation
  • Year:
  • 2008

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Abstract

We present highly accurate deterministic, probabilistic andhybrid methods for monitoring the full range of ω-regularproperties, specified as Streett automata, of stochastic systemsmodeled as Hidden Markov Chains. The deterministic algorithmsemploy timeouts that are set dynamically to achieve desiredaccuracy. The probabilistic algorithms employ coin tossing and cangive highly accurate monitors when the system behavior is notknown. The hybrid algorithms combine both these techniques. Themonitoring algorithms have been implemented as a tool. The tooltakes a high level description of an application with probabilitiesand also a Streett automaton that specifies the property to bemonitored. It generates a monitor for monitoring computations ofthe application. Experimental results comparing the effectivenessof the different algorithms are presented.