Concurrent estimation
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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, Strickland and Panayiotou.
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, Strickland and Panayiotou. ==References==
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