Concurrent estimation: Difference between revisions
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In [[discrete event simulation]] '''concurrent estimation''' is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size <math>B_0</math>, one estimates what the performance would be if the buffer size had been set to the alternate values <math>B_1,\ldots,B_n</math>. Effectively the technique generates (during a single simulation run) <math>n</math> alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running <math>n</math> additional simulations, one for each alternative parameter value. |
In [[discrete event simulation]] '''concurrent estimation''' is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size <math>B_0</math>, one estimates what the performance would be if the buffer size had been set to the alternate values <math>B_1,\ldots,B_n</math>. Effectively the technique generates (during a single simulation run) <math>n</math> alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running <math>n</math> additional simulations, one for each alternative parameter value. |
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The technique was developed by Cassandras,<ref>[http://vita.bu.edu/cgc/ vita.bu.edu]</ref> Strickland and Panayiotou.<ref>[http://www.eng.ucy.ac.cy/christos/ vita.bu.edu]</ref> |
The technique was developed by Cassandras,<ref>[http://vita.bu.edu/cgc/ vita.bu.edu] {{webarchive|url=http://webarchive.loc.gov/all/20011127025313/http://vita.bu.edu/cgc/ |date=2001-11-27 }}</ref> Strickland and Panayiotou.<ref>[http://www.eng.ucy.ac.cy/christos/ vita.bu.edu] {{webarchive|url=https://web.archive.org/web/20080805041605/http://www.eng.ucy.ac.cy/christos/ |date=2008-08-05 }}</ref> |
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==References== |
==References== |
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Revision as of 00:31, 12 August 2017
In discrete event simulation concurrent estimation is a technique used to estimate the effect of alternate parameter settings on a discrete event system. For example from observation of a (computer simulated) telecommunications system with a specified buffer size , one estimates what the performance would be if the buffer size had been set to the alternate values . Effectively the technique generates (during a single simulation run) alternative histories for the system state variables, which have the same probability of occurring as the main simulated state path; this results in a computational saving as compared to running additional simulations, one for each alternative parameter value.
The technique was developed by Cassandras,[1] Strickland and Panayiotou.[2]
References
- ^ vita.bu.edu Archived 2001-11-27 at the Library of Congress Web Archives
- ^ vita.bu.edu Archived 2008-08-05 at the Wayback Machine
- Cassandras, C.G.; Lafortune, S. (2008). Introduction to Discrete Event Systems. Springer. ISBN 0-387-33332-0.