Implementing a Stochastic Process Algebra within the Möbius Modeling Framework

  • Authors:
  • Graham Clark;William H. Sanders

  • Affiliations:
  • -;-

  • Venue:
  • PAPM-PROBMIV '01 Proceedings of the Joint International Workshop on Process Algebra and Probabilistic Methods, Performance Modeling and Verification
  • Year:
  • 2001

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Abstract

Many formalisms and solution methods exist for performance and dependability modeling. However, different formalisms have different advantages and strengths, and no one formalism is universally used. The Möbius tool was built to provide multi-formalism multisolution modeling, and allows the modeler to develop models in any supported formalism. A formalism can be implemented in Möbius if a mapping can be provided to the Möbius Abstract Functional Interface, which includes a notion of state and a notion of how state changes over time. We describe a way to map PEPA, a stochastic process algebra, to the abstract functional interface. This gives Möbius users the opportunity to make use of stochastic process algebra models in their performance and dependability models.