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Springer Regeneration and Networks of Queues: Applied Probability Vol. 3

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Description

Regeneration and Networks of Queues is the third volume in Springer's Applied Probability series, offering a comprehensive exploration of queue network modelling and discrete event simulation. This authoritative text addresses the mathematical foundations of complex congestion systems, presenting probabilistic and statistical methods essential for analysing non-Markovian simulations. The book develops rigorous techniques for studying networks of queues through the lens of generalised semi-Markov processes, providing researchers and practitioners with the tools to model real-world congestion phenomena. Ideal for advanced students and professionals in operations research, applied mathematics, and systems engineering, this volume bridges theoretical probability with practical simulation applications in network analysis.

Key Features

Springer's Applied Probability series delivers rigorous mathematical treatment of queue network behaviour and stochastic process representation.

Covers discrete event simulation methods for complex networks with non-Markovian properties that standard continuous time Markov chains cannot represent.

Develops probabilistic and statistical foundations based on generalised semi-Markov process representation for advanced simulation studies.

Provides essential tools for modelling congestion phenomena across telecommunications, transport, manufacturing, and service systems.

Addresses networks of queues as fundamental models, enabling analysis of systems too complex for analytical solutions alone.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
05 November 2012
Listed Since
14 July 2013

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