Menu
Home Explore People Places Arts History Plants & Animals Science Life & Culture Technology
On this page
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, Strickland and Panayiotou.

  • Cassandras, C.G.; Lafortune, S. (2008). Introduction to Discrete Event Systems. Springer. ISBN 978-0-387-33332-8.
We don't have any images related to Concurrent estimation yet.
We don't have any YouTube videos related to Concurrent estimation yet.
We don't have any PDF documents related to Concurrent estimation yet.
We don't have any Books related to Concurrent estimation yet.
We don't have any archived web articles related to Concurrent estimation yet.

References

  1. vita.bu.edu Archived 2001-11-27 at the Library of Congress Web Archives http://vita.bu.edu/cgc/

  2. vita.bu.edu Archived 2008-08-05 at the Wayback Machine http://www.eng.ucy.ac.cy/christos/