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 $B_{0}$ , one estimates what the performance would be if the buffer size had been set to the alternate values $B_{1},\ldots ,B_{n}$ . Effectively the technique generates (during a single simulation run) $n$ 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 $n$ 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
↑ 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.

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.