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 ${\displaystyle B_0}$, one estimates what the performance would be if the buffer size had been set to the alternate values ${\displaystyle B_1,\dots ,B_n}$. Effectively the technique generates (during a single simulation run) ${\displaystyle n}$ 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 ${\displaystyle n}$ additional simulations, one for each alternative parameter value. The technique was developed by Cassandras,^[1] Strickland and Panayiotou.^[2]

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