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dc.contributorVirginia Tech
dc.contributor.authorVroblefski, M.
dc.contributor.authorRamesh, R.
dc.contributor.authorZionts, S.
dc.date.accessioned2014-03-05T14:00:24Z
dc.date.available2014-03-05T14:00:24Z
dc.date.issued2000
dc.identifier.citationVroblefski, M; Ramesh, R; Zionts, S. General open and closed queueing networks with blocking: A unified framework for approximation. INFORMS Journal on Computing 2000 12:4, 299-316. doi: 10.1287/ijoc.12.4.299.11878
dc.identifier.issn1091-9856
dc.identifier.urihttp://hdl.handle.net/10919/25838
dc.description.abstractIn this paper, we develop a unified framework for approximating open and closed queueing networks under any general blocking protocol by extending and generalizing the approximation algorithm for open tandem queues under minimal blocking presented in Di Mascolo et al. (1996). The proposed framework is based on decomposition. We develop decomposition structures and analysis algorithms for any general blocking system using the framework. The proposed algorithms have been extensively tested using simulations as a benchmarking device. The results show that the proposed framework yields robust, reliable, and accurate estimates of system characteristics, such as throughput and Work-in-process inventory in a wide range of system configurations. The computational load is minimal. The unified framework presents a highly useful set of tools of analysis for queueing-system designers to use in evaluating the performance under numerous design alternatives. Directions for future research are presented, with a focus on critical application areas such as packet-switching-network design and cellular manufacturing.
dc.language.isoen_US
dc.publisherINFORMS
dc.subjectqueuing-networks
dc.subjectflow-control
dc.subjectsystems
dc.subjectdesign
dc.titleGeneral open and closed queueing networks with blocking: A unified framework for approximation
dc.typeArticle
dc.identifier.urlhttp://pubsonline.informs.org/doi/pdf/10.1287/ijoc.12.4.299.11878
dc.date.accessed2014-02-05
dc.title.serialInforms Journal on Computing
dc.identifier.doihttps://doi.org/10.1287/ijoc.12.4.299.11878


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