Big queues /

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Bibliographic Details
Author / Creator:Ganesh, Ayalvadi, 1967-
Imprint:Berlin ; New York : Springer, ©2004.
Description:1 online resource (xi, 254 pages).
Language:English
Series:Lecture notes in mathematics, 0075-8434 ; 1838
Lecture notes in mathematics (Springer-Verlag) ; 1838.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11065286
Hidden Bibliographic Details
Other authors / contributors:O'Connell, Neil, 1968-
Wischik, Damon, 1974-
ISBN:9783540398899
3540398899
3540209123
9783540209126
Notes:Includes bibliographical references (pages 239-248) and index.
Summary:Big Queues aims to give a simple and elegant account of how large deviations theory can be applied to queueing problems. Large deviations theory is a collection of powerful results and general techniques for studying rare events, and has been applied to queueing problems in a variety of ways. The strengths of large deviations theory are these: it is powerful enough that one can answer many questions which are hard to answer otherwise, and it is general enough that one can draw broad conclusions without relying on special case calculations.
Other form:Print version: Ganesh, Ayalvadi, 1967- Big queues. Berlin ; New York : Springer, ©2004 3540209123

MARC

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490 1 |a Lecture notes in mathematics,  |x 0075-8434 ;  |v 1838 
504 |a Includes bibliographical references (pages 239-248) and index. 
505 0 |a The single server queue -- Large deviations in Euclidean spaces -- More on the single server queue -- Introduction to abstract large deviations -- Continuous queueing maps -- Large-buffer scalings -- May-flows scalings -- Long range dependence -- Moderate deviations scalings -- Interpretations -- Bibliography -- Index of notation -- Index. 
520 |a Big Queues aims to give a simple and elegant account of how large deviations theory can be applied to queueing problems. Large deviations theory is a collection of powerful results and general techniques for studying rare events, and has been applied to queueing problems in a variety of ways. The strengths of large deviations theory are these: it is powerful enough that one can answer many questions which are hard to answer otherwise, and it is general enough that one can draw broad conclusions without relying on special case calculations. 
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650 0 |a Large deviations.  |0 http://id.loc.gov/authorities/subjects/sh85074707 
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700 1 |a Wischik, Damon,  |d 1974-  |0 http://id.loc.gov/authorities/names/n2004003502  |1 http://viaf.org/viaf/47004698 
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