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 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 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, Strickland and Panayiotou.
