Stochastic Networks

— —

Frank Kelly (University of Cambridge) Elena Yudovina (University of Michigan, Ann Arbor)

Stochastic Networks

Frank Kelly (University of Cambridge), Elena Yudovina (University of Michigan, Ann Arbor)

$33.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Cambridge University Press
27 February 2014

Probability & statistics; Stochastics; Maths for engineers

Series: Institute of Mathematical Statistics Textbooks

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

By: Frank Kelly (University of Cambridge), Elena Yudovina (University of Michigan, Ann Arbor)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Volume: 2
Dimensions: Height: 228mm, Width: 152mm, Spine: 12mm
Weight: 390g
ISBN: 9781107691704
ISBN 10: 1107691702
Series: Institute of Mathematical Statistics Textbooks
Pages: 231
Publication Date: 27 February 2014
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Paperback
Publisher's Status: Active

Overview; Part I: 1. Markov chains; 2. Queueing networks; 3. Loss networks; Part II: 4. Decentralized optimization; 5. Random access networks; 6. Effective bandwidth; Part III: 7. Internet congestion control; 8. Flow level internet models; Appendix A. Continuous time Markov processes; Appendix B. Little's law; Appendix C. Lagrange multipliers; Appendix D. Foster-Lyapunov criteria; References; Index.

Frank Kelly is Professor of the Mathematics of Systems at the University of Cambridge. His main research interests are in random processes, networks and optimization. He is especially interested in applications to the design and control of networks and to the understanding of self-regulation in large-scale systems. Elena Yudovina is a postdoctoral research fellow at the University of Michigan. Her research interests are in applications of queueing theory. She received her PhD from the University of Cambridge, where her interest in the subject was sparked by a course on stochastic networks taught by Frank Kelly.