Modelling and Control of Dynamic Flows in Communication Networks

In modern communication networks with stored program control the implementation of sophisticated traffic control rules is worthwhile. This allows efficient sharing of existing resources and often defers network extension. Moreover, the flexible control adapts well to changing load conditions during periods of overload and equipment failure. When these benefits become evident, many network administrations start to implement corresponding solutions. This book attempts to provide a systematic approach to the analysis and synthesis of advanced traffic control concepts. Because the book is oriented toward engineering applications, mathematical concepts are often illustrated with examples. The reader is assumed to be familiar with advanced calculus, differential equations and probability theory to engineering level.

Contenu
0 Introduction.- I: Preliminary Considerations.- 1 The Hierarchy of Communication Network Models.- 2 Various Accuracy Models of the Single Server Queue.- II: Fundamental Concepts and Methods.- 3 Dynamic Flow Models of Stochastic Service Systems.- 4 Control-oriented Network Description.- 5 Model Structure, Fluctuations, and Stability.- 6 Simple Traffic Control Problem.- 7 System-optimal Network Flow Pattern.- III: Dynamic Flows Within Specific Networks.- 8 Control of Arrivals to a Random Access System.- 9 Routing and Flow Control in a Packet-switched Network.- 10 Congestion Offloading Procedure.- 11 Adaptive Control of Telephone Traffic.- IV: Multistrata Control Models.- 12 Dynamic Load Sharing in Data Networks.- 13 Coordination of Routing by Learning Automata.- Appendix A. Basic Concepts of Queueing Theory.- Appendix B. Pontryagin Minimum Principle.- References.