Mean Value Analysis for a Class of PEPA Models

  • Authors:
  • Nigel Thomas;Yishi Zhao

  • Affiliations:
  • School of Computing Science, Newcastle University, UK;School of Computing Science, Newcastle University, UK

  • Venue:
  • EPEW '09 Proceedings of the 6th European Performance Engineering Workshop on Computer Performance Engineering
  • Year:
  • 2009

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Abstract

In this paper a class of closed queueing network is modelled in the Markovian process algebra PEPA and solved using the classical Mean Value Analysis (MVA). This approach is attractive as it negates the need to derive the entire state space, and so certain metrics from large models can be obtained with little computational effort. The class of model considered includes models which are not obviously classical closed queueing models. The approach is illustrated with three examples.