Stochastic Networks (Hardcover, New)

,
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.

R2,185

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles21850
Mobicred@R205pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

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.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Series

Institute of Mathematical Statistics Textbooks

Release date

February 2014

Availability

Expected to ship within 10 - 15 working days

First published

February 2014

Authors

,

Dimensions

236 x 156 x 16mm (L x W x T)

Format

Hardcover

Pages

231

Edition

New

ISBN-13

978-1-107-03577-5

Barcode

9781107035775

Categories

LSN

1-107-03577-5



Trending On Loot