Approximate analysis of load-dependent generally distributed queuing networks with low service time variability

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Authors

Ekren, Banu Yetkin
Heragu, Sunderesh S.

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Green Open Access

Yes

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Abstract

In this paper, we present an approximate method for solution of load-dependent, closed queuing networks having general service time distributions with low variability. The proposed technique is an extension of Marie's (1980) method. In the methodology, conditional throughputs are obtained by an iterative procedure. The iterations are repeated until an invalid result is detected or no improvements are found. We demonstrate the performance of the technique with 10 different examples. On average, the solutions have 5% or lower deviations when compared to simulation results. © 2010 Elsevier B.V. All rights reserved.

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Keywords

Conditional throughput, Load-dependent network, Performance analysis, Queuing networks, Approximate analysis, Approximate methods, Closed queuing network, Distributed queuing, Iterative procedures, Network performance analysis, Queuing network, Service time, Service time distribution, Simulation result, Approximation theory, Queueing networks, Throughput, Queueing theory, Approximate methods, Load-dependent network, Distributed queuing, Performance analysis, Network performance analysis, Iterative procedures, Approximation theory, Approximate analysis, Queuing networks, Closed queuing network, Throughput, 004, Service time distribution, Queueing theory, Queuing network, Simulation result, Queueing networks, Conditional throughput, Service time, queuing networks, Deterministic network models in operations research, performance analysis, Queues and service in operations research, conditional throughput, load-dependent network

Fields of Science

0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

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18

Volume

205

Issue

2

Start Page

381

End Page

389
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CrossRef : 9

Scopus : 21

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21

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Web of Science™ Citations

18

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64

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