System Modeling and Analysis Foundations of System Performance Evaluation

by Kobayashi, Hisashi; Mark, Brian L.

• ISBN13: 9780130348357
• ISBN10: 013034835X
• Edition: 1st
• Format: Paperback
• Copyright: 2008-04-11
• Publisher: Pearson

Summary

In one resource, Kobayashi and Mark present the most up-to-date analytical models, simulation techniques, and computational algorithms useful for performance evaluation of complex systems including computer systems, communication networks, transportation systems, and manufacturing systems.Provides more in-depth coverage of topics such as computational algorithms and approximations; is broader in scope than similar books on the subject. Appeals to readers with a background or interest in a wide range of areas, including systems analysis or telecommunication networks. Offers comprehensive coverage of modeling and analysis techniques from basic to intermediate and advanced levels. Shows how modeling methodologies and analysis techniques can be applied to real-world problems. Features many schematic diagrams, graphical curves, and numerical examples to make abstract or difficult subjects more accessible. A comprehensive reference for practicing engineers, computer scientists, and systems analysts.

Table of Contents

Introduction	p. 11.1
Role of Modeling and Analysis	p. 11.2
Performance Measures	p. 71.3
Modeling Approaches	p. 91.4
Examples of Performance Modeling	p. 161.5
Discussion and Further Reading	p. 38I
Basic Queueing and Loss Models	p. 392
Basic Queueing Models	p. 402.1
Introduction	p. 402.2
Little's Formula and Its Generalization	p. 462.3
Birth-and-Death Processes	p. 522.4
Birth-and-Death Queueing Models	p. 682.5
Discussion and Further Reading	p. 933
Basic Loss Models	p. 953.1
Erlang Loss Model: M/M/m(0) or M/M/m/m	p. 953.2
Engset Loss Model: M(K)/M/m(0) or M/M/m/m/K	p. 1033.3
Insensitivity and Generalization of Loss Models	p. 1113.4
Application Example: Blocking Analysis of Cellular CommunicationSystems	p. 1123.5
Discussion and Further Reading	p. 1234
Non-Markovian Queues	p. 1244.1
Renewal Process and Residual Life	p. 1244.2
Representations of General Distributions	p. 1294.3
M/G/1 Queueing Model	p. 1394.4
G/M/1 Queueing Model	p. 1594.5
G/G/1 Queue and Waiting Time Distribution	p. 1694.6
Discussion and Further Reading	p. 1755
Quasi-Reversibility and Queues with Product-Form Solutions	p. 1775.1
Markov Processes and Markov Chains	p. 1775.2
Departure Processes, Reversibility and Quasi-Reversibility	p. 1885.3
M/G/1 Queueing Model	p. 2085.4
M/G/1 with Processor Sharing	p. 2135.5
M/G/1 with LCFS	p. 2185.6
M/G/1 with LCFS-PR	p. 2205.7
Multiple Customer Classes and Quasi-Reversible Stations	p. 2215.8
Discussion and Further Reading	p. 233II Queuei
Queueing Networks	p. 2366.1
Introduction	p. 2366.2
Jackson Networks: Queueing Networks with Exponential Servers	p. 2386.3
Networks with Quasi-Reversible Stations and Multiple Classes ofCustomers	p. 2766.4
Higher-Order Markov Routing	p. 2876.5
Discussion and Further Reading	p. 2957
Loss Networks and Generalized Loss Models	p. 2977.1
Introduction	p. 2977.2
Generalized Loss Stations	p. 2987.3
Loss Networks with Fixed Routing	p. 3107.4
Queueing-Loss Networks	p. 3347.5
Discussion and Further Reading	p. 3368
Computational Algorithms for Product-Form Networks	p. 3388.1
Introduction	p. 3388.2
Computational Algor
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