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  3. A Compositional Approach to Performance Modelling
  • Cited by 579
Publisher:
Cambridge University Press
Online publication date:
November 2009
Print publication year:
1996
Online ISBN:
9780511569951
DOI:
https://doi.org/10.1017/CBO9780511569951
Subjects:
Computer Science, Distributed, Networked and Mobile Computing, Computing: General Interest
Series:
Distinguished Dissertations in Computer Science (12)
Information

Book description

This is the first book presenting a stochastic extension of process algebra, PEPA; this is shown to be suitable for specifying a Markov process, which can then be applied to performance modelling. The method, which is illustrated with case studies taken from the area of communication systems, can readily be used to construct a variety of models that can be analysed using standard numerical techniques. One of the major advantages of PEPA over the standard methods for specifying stochastic performance models is the inherent apparatus for reasoning about the structure and behaviour of models. In the later chapters this apparatus is exploited to define four equivalence relations over PEPA components. Each of these notions of equivalence has intrinsic interest from a process algebra perspective. However, they are also demonstrated to be useful in a performance modelling context. To conclude the book, a section has been added surveying recent results in the area and discussing open questions.

Reviews

'Overall, a very useful addition to the perfomance modelling literature.'

Source: Zentralblatt MATH

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