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Distinguished Dissertations in Computer Science, Series Number 12 - A Compositional Approach to Performance Modelling (Paperback, Revised) Loot Price: R741
Discovery Miles 7 410
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Distinguished Dissertations in Computer Science, Series Number 12 - A Compositional Approach to Performance Modelling...

Distinguished Dissertations in Computer Science, Series Number 12 - A Compositional Approach to Performance Modelling (Paperback, Revised)

Jane Hillston

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Loot Price R741 Discovery Miles 7 410 | Repayment Terms: R69 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: June 2005
First published: 1996
Authors: Jane Hillston
Dimensions: 244 x 171 x 13mm (L x W x T)
Format: Paperback - Trade
Pages: 172
Edition: Revised
ISBN-13: 978-0-521-67353-2
Categories: Books > Computing & IT > General theory of computing
Books > Computing & IT > Computer communications & networking
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > Computer communications & networking > General
LSN: 0-521-67353-4
Barcode: 9780521673532

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