Concurrent Estimation
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discrete event simulation A discrete-event simulation (DES) models the operation of a system as a (discrete) sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system. Between consecutive events, no change in the ...
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, Strickland and Panayiotou.vita.bu.edu


References

* {{Refend Control theory Events (computing)