An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking

This paper presents an efficient method for evaluating performance measures for a class of tandem queueing systems with finite buffers in which blocking and starvation are important. These systems are difficult to evaluate because they have large state spaces and because they cannot be decomposed ex...

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Veröffentlicht in:Operations research 1987-03, Vol.35 (2), p.291-305
1. Verfasser: Gershwin, Stanley B
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description This paper presents an efficient method for evaluating performance measures for a class of tandem queueing systems with finite buffers in which blocking and starvation are important. These systems are difficult to evaluate because they have large state spaces and because they cannot be decomposed exactly. The approximate decomposition approach we describe is based on system characteristics such as conservation of flow. Comparisons with exact and simulation results indicate that the approach is very accurate.
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These systems are difficult to evaluate because they have large state spaces and because they cannot be decomposed exactly. The approximate decomposition approach we describe is based on system characteristics such as conservation of flow. Comparisons with exact and simulation results indicate that the approach is very accurate.</description><identifier>ISSN: 0030-364X</identifier><identifier>EISSN: 1526-5463</identifier><identifier>DOI: 10.1287/opre.35.2.291</identifier><identifier>CODEN: OPREAI</identifier><language>eng</language><publisher>Linthicum, MD: INFORMS</publisher><subject>343 inventory levels and throughput in transfer lines ; 570 Markov chain model of transfer lines ; 683 decomposition approximation of queueing networks ; 721 reliability and storage ; Analysis ; Applied sciences ; Approximation ; Arithmetic mean ; Assembly lines ; Buffer storage ; Decomposition methods ; Exact sciences and technology ; Lines in space ; Mathematical analysis ; Modeling ; Network servers ; Networks ; Operational research and scientific management ; Operational research. Management science ; Operations research ; Queuing theory ; Queuing theory. 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These systems are difficult to evaluate because they have large state spaces and because they cannot be decomposed exactly. The approximate decomposition approach we describe is based on system characteristics such as conservation of flow. Comparisons with exact and simulation results indicate that the approach is very accurate.</description><subject>343 inventory levels and throughput in transfer lines</subject><subject>570 Markov chain model of transfer lines</subject><subject>683 decomposition approximation of queueing networks</subject><subject>721 reliability and storage</subject><subject>Analysis</subject><subject>Applied sciences</subject><subject>Approximation</subject><subject>Arithmetic mean</subject><subject>Assembly lines</subject><subject>Buffer storage</subject><subject>Decomposition methods</subject><subject>Exact sciences and technology</subject><subject>Lines in space</subject><subject>Mathematical analysis</subject><subject>Modeling</subject><subject>Network servers</subject><subject>Networks</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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subjects 343 inventory levels and throughput in transfer lines
570 Markov chain model of transfer lines
683 decomposition approximation of queueing networks
721 reliability and storage
Analysis
Applied sciences
Approximation
Arithmetic mean
Assembly lines
Buffer storage
Decomposition methods
Exact sciences and technology
Lines in space
Mathematical analysis
Modeling
Network servers
Networks
Operational research and scientific management
Operational research. Management science
Operations research
Queuing theory
Queuing theory. Traffic theory
Space storage
Starvation
title An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking
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