Large Deviations For Performance Analysis : Queues, Communication and Computing

Alan Weiss

ISBN 10: 1138318108 / ISBN 13: 9781138318106

Published by Routledge, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Originally published in 1995, Large Deviations for Performance Analysis consists of two synergistic parts. The first half develops the theory of large deviations from the beginning, through recent results on the theory for processes with boundaries, keeping to a very narrow path: continuous-time, discrete-state processes. By developing only what is needed for the applications, the theory is kept to a manageable level, both in terms of length and in terms of difficulty. Within its scope, the treatment is detailed, comprehensive and self-contained. As the book shows, there are sufficiently many interesting applications of jump Markov processes to warrant a special treatment. The second half is a collection of applications developed at Bell Laboratories. The applications cover large areas of the theory of communication networks: circuit switched transmission, packet transmission, multiple access channels, and the M/M/1 queue. Aspects of parallel computation are covered as well including, basics of job allocation, rollback-based parallel simulation, assorted priority queueing models that might be used in performance models of various computer architectures, and asymptotic coupling of processors. These applications are thoroughly analysed using the tools developed in the first half of the book.

Seller Inventory # 9781138318106

Bibliographic Details

• Title: Large Deviations For Performance Analysis : Queues, Communication and Computing
• Publisher: Routledge
• Publication Date: 2021
• Language: English
• ISBN 10: 1138318108
• ISBN 13: 9781138318106
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 30D millimeters 254 millimeters width by 178 millimeters height by 30 millimeters depth
• Weight: 1051 grams

About this title

Synopsis

Originally published in 1995, Large Deviations for Performance Analysis consists of two synergistic parts. The first half develops the theory of large deviations from the beginning, through recent results on the theory for processes with boundaries, keeping to a very narrow path: continuous-time, discrete-state processes. By developing only what is needed for the applications, the theory is kept to a manageable level, both in terms of length and in terms of difficulty. Within its scope, the treatment is detailed, comprehensive and self-contained. As the book shows, there are sufficiently many interesting applications of jump Markov processes to warrant a special treatment. The second half is a collection of applications developed at Bell Laboratories. The applications cover large areas of the theory of communication networks: circuit switched transmission, packet transmission, multiple access channels, and the M/M/1 queue. Aspects of parallel computation are covered as well including, basics of job allocation, rollback-based parallel simulation, assorted priority queueing models that might be used in performance models of various computer architectures, and asymptotic coupling of processors. These applications are thoroughly analysed using the tools developed in the first half of the book.

About the Author

Alan Weiss, Adam Shwartz