Queueing Theory

Author:   P. P. Bocharov ,  C. D'Apice ,  A. V. Pechinkin ,  S. Salerno
Publisher:   Brill
Edition:   Reprint 2011
Volume:   8
ISBN:  

9789067643986


Pages:   446
Publication Date:   31 October 2003
Recommended Age:   College Graduate Student
Format:   Hardback
Availability:   Available To Order   Availability explained
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Queueing Theory


Overview

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter.com for more information. Queueing theory is an applied mathematical discipline dealing with the performance of technical systems (referred to as queueing systems) for processing flows of customers. Random fluctuation in customer arrival and service processes play a pivotal role here. Recently, the interest in queueing theory has been revived, not only as a result of new, related applied problems, such as the development and application of computers, but also due to the advent of new mathematical approaches to their solution. The aim of this monograph is to familiarise readers with certain tools of the queueing theory (including its latest techniques) and the results of their application. An introduction to queueing networks is also given.

Full Product Details

Author:   P. P. Bocharov ,  C. D'Apice ,  A. V. Pechinkin ,  S. Salerno
Publisher:   Brill
Imprint:   VSP International Science Publishers
Edition:   Reprint 2011
Volume:   8
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.868kg
ISBN:  

9789067643986


ISBN 10:   906764398
Pages:   446
Publication Date:   31 October 2003
Recommended Age:   College Graduate Student
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Reviews

'...a nice self-contained introduction to classical queueing models at a level that does not require a familiarity with advanced probability theory or measure and integration.' Richard F. Serfozo, Mathematical Reviews Clipping, 2006.


Author Information

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Latest Reading Guide

NOV RG 20252

 

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