Concurrent estimation explained

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

• Book: Cassandras, C.G.. Lafortune, S.. 2008. Introduction to Discrete Event Systems. Springer. 978-0-387-33332-8.

Notes and References

1. http://vita.bu.edu/cgc/ vita.bu.edu
2. http://www.eng.ucy.ac.cy/christos/ vita.bu.edu