| Perfect simulation of index based routing queueing networks |
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ACM SIGMETRICS Performance Evaluation Review
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Volume 34 , Issue 2 (September 2006)
table of contents
SPECIAL ISSUE: Special issue on Performance 2005 posters
table of contents
Pages: 24 - 25
Year of Publication: 2006
ISSN:0163-5999
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Downloads (6 Weeks): 1, Downloads (12 Months): 11, Citation Count: 1
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ABSTRACT
Markovian queueing networks models are widely used for performance evaluation of computer systems, production lines, communication networks and so on. Routing strategies allocate clients to queues after the end of service. In many situations such as deterministic, probabilistic, or state dependent like Join the shortest queue routing, the routing function could be written in terms of index scheduling functions introduced in [3, 6].
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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P. Brémaud. Markov Chains: Gibbs fields, Monte Carlo Simulation and Queues. Springer-Verlag, 1999.
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J. Gittins. Bandit processes and dynamic allocation in dices. J. Roy. Statist. Soc. (B), 41:148--177, 1979.
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D. Mattson. On Perfect Simulation of Markovian Queueing Networks with Blocking. PhD thesis, Chalmers Göteborg University, 2002.
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J.-M. Vincent and C. Marchand. On the exact simulation of functionals of stationary markov chains. Linear Algebra and its Applications, 386:285--310, 2004.
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