Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non Markovian in the sense that the underlying stochastic process cannot be repre sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation as a gen eralized semi-Markov process, this book develops probabilistic and statistical methods for discrete event simulation of networks of queues. The emphasis is on the use of underlying regenerative stochastic process structure for the design of simulation experiments and the analysis of simulation output. The most obvious methodological advantage of simulation is that in principle it is applicable to stochastic systems of arbitrary complexity. In practice, however, it is often a decidedly nontrivial matter to obtain from a simulation information that is both useful and accurate, and to obtain it in an efficient manner. These difficulties arise primarily from the inherent variability in a stochastic system, and it is necessary to seek theoretically sound and computationally efficient methods for carrying out the simulation. Apart from implementation consider ations, important concerns for simulation relate to efficient methods for generating sample paths of the underlying stochastic process. the design of simulation ex periments, and the analysis of simulation output.
Product Identifiers
Publisher
Springer-Verlag New York Inc.
ISBN-13
9780387964256
eBay Product ID (ePID)
105236139
Product Key Features
Author
Gerald S. Shedler
Publication Name
Regeneration and Networks of Queues
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
1986
Type
Textbook
Number of Pages
224 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
3
Item Weight
1130g
Additional Product Features
Title_Author
Gerald S. Shedler
Series Title
Applied Probability
Country/Region of Manufacture
United States
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