Performance of Computer Communication Systems
A Model-Based Approach
Boudewijn R. Haverkort, Rheinisch-Westfälische Technische, Hochschule Aachen, Germany


0471 97228 2 1998 Hardback 518pp



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Computer communication systems and distributed systems are now able to provide an increasing range of services. As the timing requirements in the operation of these services are becoming crucial for the global community, performance assessment and selection of communication and distributed systems are, therefore, becoming more important. In this book, the author illustrates the techniques and methods used to evaluate the performance of computer communication systems, thereby covering all aspects of model-based performance evaluation. Unlike other books on this topic, there is no restriction to a particular performance evaluation technique. Notable features in this book include:
  • Coverage of all major techniques of performance evaluation
  • Non-mathematical problem solving approach, explaining and illustrating performance evaluation techniques
  • Assessment techniques for stochastic processes, single server queues, networks of queues and stochastic Petri nets
  • Numerous application studies, including token ring systems, client--server systems, and wide-area networks
  • Substantial number of practical exercises and examples.
For computer or electrical engineers who design and implement computer communication systems, this book provides an excellent overview of the methods and techniques used to construct and solve performance models. It is also a valuable source of information for postgraduate students in computer science and related subjects.

Contents:

1. Performance Modelling With Stochastic Processes.
  • Introduction.
  • Little's Law and the M|M|1 Queue.
2. Single-Server Queueing Models.
  • M|M|1 Queueing Models.
  • M|G|1-FCFS Queueing Models.
  • M|G|1 Queueing Models With Various Scheduling Disciplines
  • G|M|1-FCFS and G|G|1-FCFS Queueing models
  • PH|PH1 Queuing models
  • Polling Models.
3. Queueing Network Models.
  • Open Queueing Network Models.
  • Closed Queueing Networks.
  • Hierarchical Queueing Networks
  • BCMP Queueing Networks.
4. Stochastic Petri Net Models.
  • Stochastic Petri Nets.
  • Numerical Solution of Markov Chains.
  • Stochastic Petri Net Applications.
  • Infinite-State SPNs.
5. Simulation.
  • Simulation: Methodology and Statistics.
6. Appendices.

Copyright © 2000 John Wiley & Sons Ltd