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Performance Analysis of Closed Queueing Networks: Lecture Notes in Economics and Mathematical Systems, cartea 663

Autor Svenja Lagershausen
en Limba Engleză Paperback – 24 oct 2012
This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive literature review. Two approaches to the performance of closed queueing networks are presented. One is an approximate decomposition approach, while the second is the first exact approach for finite-capacity networks with general processing times. In this Markov chain approach, queueing networks are analyzed by modeling the entire system as one Markov chain. As this approach is exact, it is well-suited both as a reference quantity for approximate procedures and as extension to other queueing networks. Moreover, for the first time, the exact distribution of the time between processing starts is provided.
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Specificații

ISBN-13: 9783642322136
ISBN-10: 3642322131
Pagini: 200
Ilustrații: XXIII, 169 p. 49 illus., 5 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.28 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1. Introduction.- 2. Closed Queueing Networks.- 3. Literature Review.- 4. Decomposition Approach.- 5. Markov-chain Approach.- 6. Distribution of the Time between Processing Starts.- 7. Conclusion.

Textul de pe ultima copertă

This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive literature review. Two approaches to the performance of closed queueing networks are presented. One is an approximate decomposition approach, while the second is the first exact approach for finite-capacity networks with general processing times. In this Markov chain approach, queueing networks are analyzed by modeling the entire system as one Markov chain. As this approach is exact, it is well-suited both as a reference quantity for approximate procedures and as extension to other queueing networks. Moreover, for the first time, the exact distribution of the time between processing starts is provided.

Caracteristici

First exact analysis of closed production systems for finite-capacity networks with general processing times High-quality vector graphics support the main text Extensive examples to add value to the content? Includes supplementary material: sn.pub/extras