@inproceedings{bf328331d1084a7d8642a325107685b5,
title = "OPTIMAL REPARTITIONING DECISION POLICY.",
abstract = "The automated partitioning of simulations for parallel execution is a timely research problem. A simulation's run-time performance depends heavily on the nature of the inputs the simulation responds to. Consequently, a simulation's run-time behavior is generally too complex to analytically predict, and partitioning algorithms must be statistically based; they base their partitioning decisions on the simulation's observed behavior. Simulations which are partitioned statistically are vulnerable to radical changes in the run-time dynamic repartitioning decision policy which detects change in a simulation's run-time behavior and reacts to this change. The decision policy optimally balances the costs and potential benefits of repartitioning a running simulation.",
author = "Nicol, {David M.} and Reynolds, {Paul F.}",
year = "1985",
doi = "10.1145/21850.253429",
language = "English (US)",
isbn = "0911801073",
series = "Winter Simulation Conference Proceedings",
publisher = "IEEE",
pages = "493--497",
booktitle = "Winter Simulation Conference Proceedings",
}