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Perfect simulation of index based routing queueing networks
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Source ACM SIGMETRICS Performance Evaluation Review archive
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
Authors
Jean-Marc Vincent  Laboratoire ID-IMAG, Montbonnot, France
Jérôme Vienne  Laboratoire ID-IMAG, Montbonnot, France
Publisher
ACM  New York, NY, USA
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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.


Collaborative Colleagues:
Jean-Marc Vincent: colleagues
Jérôme Vienne: colleagues