Ebook: Performance Analysis of Closed Queueing Networks
Author: Svenja Lagershausen (auth.)
- Tags: Production/Logistics/Supply Chain Management, Operation Research/Decision Theory, Statistics and Computing/Statistics Programs
- Series: Lecture Notes in Economics and Mathematical Systems 663
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xxiii
Introduction....Pages 1-3
Closed Queueing Networks....Pages 5-13
Literature Review....Pages 15-44
Decomposition Approach....Pages 45-60
Markov-Chain Approach....Pages 61-130
Distribution of the Time Between Processing Starts....Pages 131-157
Conclusion....Pages 159-160
Back Matter....Pages 161-169
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.
Content:
Front Matter....Pages i-xxiii
Introduction....Pages 1-3
Closed Queueing Networks....Pages 5-13
Literature Review....Pages 15-44
Decomposition Approach....Pages 45-60
Markov-Chain Approach....Pages 61-130
Distribution of the Time Between Processing Starts....Pages 131-157
Conclusion....Pages 159-160
Back Matter....Pages 161-169
....