On the use of partial symmetries for lumping Markov chains

  • Authors:
  • L. Capra;C. Dutheillet;G. Franceschinis;J. M. Ilié

  • Affiliations:
  • Dip. di Informatica, Universitá di Torino, Italy;LIP6, Université Paris VI, France;DISTA, Univ. del Piemonte Orientale, Italy;LIP6, Université Paris VI, France

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 2001

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Abstract

In this paper a method is proposed, to exploit partially symmetric behavior of systems for efficient performance evaluation. The method works on performance models described with the Stochastic Well-Formed Nets (SWN) formalism: it allows to automatically discover partial symmetries in the model behavior, and directly derive a lumped Markov chain from it, suitable for performance analysis purposes. With respect to previous works on automatic exploitation of symmetries in SWNs, the proposed approach allows a significantly higher reduction of the state space size in many practical cases.