Lesson plan
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 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.
Article summary
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.
Key claims
No claims recorded.
Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
No sources recorded.
Key claims and bibliography are generated from the same tracked claims and sources as the article page.