Control and Performance in Packet, Circuit, and ATM Networks (The Kluwer International Series in Engineering and Computer Science) XueDao Gu; Sohraby, Kazem and Vaman, Dhadesugoor R.

XueDao Gu; Sohraby, Kazem; Vaman, Dhadesugoor R.

ISBN 10: 0792396251 / ISBN 13: 9780792396253

Editore: Springer, 1995

Riguardo questo articolo

1995 hardcover no dj former library copy stamp on edge clean text 339 pages--1 G-14.

Codice articolo 1122GCEOF31

Dati bibliografici

• Titolo: Control and Performance in Packet, Circuit, and ATM Networks (The Kluwer International Series in Engineering and Computer Science) XueDao Gu; Sohraby, Kazem and Vaman, Dhadesugoor R.
• Editore: Springer
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0792396251
• ISBN 13: 9780792396253
• Rilegatura: Hardcover
• Condizione: Used: Good

Descrizione articolo

Riassunto

Higher transmission speeds, larger traffic volumes and the unpredictable characteristics of new applications, coupled with new end-user functions and features and variability of bandwidth, demand new networking methods, technologies and algorithms.
These new directions are explored in Control and Performance in Packet, Circuit, and ATM Networks, which includes discussions of static flow, fluid flow, dynamic flow, learning automata, neural networks, fuzzy logic and much more. These techniques are used in performance evaluation, control and optimization of communications networks. Each of the methods achieves a different goal, and understanding them helps in the evaluation of different aspects of control and performance in communication networks.
The book combines queuing theory with static-flow models and static optimization methods in order to analyze the behavior of communication networks. In addition, it reviews queuing theory and static optimization methods for the study of control problems in telecommunication networks.
A valuable reference that can also be used as a text for an advanced course on the subject.

Contenuti

Preface. 1. Components of a telecommunication network. 2. Networking. 3. Network performance measures. 4. Static flow model. 5. Dynamic flow models. 6. Learning automata. Appendix A: Simple queuing systems. Appendix B: Lagrangian multiplier method. Index.