A Compositional Approach to Performance Modelling

Hillston Jane

ISBN 10: 0521673534 / ISBN 13: 9780521673532

Published by Cambridge University Press, 2005

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9780521673532

Bibliographic Details

• Title: A Compositional Approach to Performance Modelling
• Publisher: Cambridge University Press
• Publication Date: 2005
• Language: English
• ISBN 10: 0521673534
• ISBN 13: 9780521673532
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 10D millimeters 244 millimeters width by 170 millimeters height by 10 millimeters depth
• Weight: 309 grams

About this title

Synopsis

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.

Book Description

The first book presenting a stochastic extension of process algebra; this can 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.