Concurrent estimation

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  B 0 {\displaystyle B_{0}} , one estimates what the performance would be if the buffer size had been set to the alternate values  B 1 , … , B n {\displaystyle B_{1},\ldots ,B_{n}} . Effectively the technique generates (during a single simulation run)  n {\displaystyle n} 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  n {\displaystyle n} additional simulations, one for each alternative parameter value.

The technique was developed by Cassandras,[1] Strickland and Panayiotou.[2]

## References

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1. ^ vita.bu.edu Archived 2001-11-27 at the Library of Congress Web Archives
2. ^ vita.bu.edu Archived 2008-08-05 at the Wayback Machine

* Cassandras, C.G.; Lafortune, S. (2008). Introduction to Discrete Event Systems. Springer. ISBN 978-0-387-33332-8.