Optimal schedules for monitoring anytime algorithms
作者:
摘要
Monitoring anytime algorithms can significantly improve their performance. This work deals with the problem of off-line construction of monitoring schedules. We study a model where queries are submitted to the monitored process in order to detect satisfaction of a given goal predicate. The queries consume time from the monitored process, thus delaying the time of satisfying the goal condition. We present a formal model for this class of problems and provide a theoretical analysis of the class of optimal schedules. We then introduce an algorithm for constructing optimal monitoring schedules and prove its correctness. We continue with distribution-based analysis for common distributions, accompanied by experimental results. We also provide a theoretical comparison of our methodology with existing monitoring techniques.
论文关键词:Monitoring,Anytime algorithms,Meta-reasoning
论文评审过程:Available online 16 March 2001.
论文官网地址:https://doi.org/10.1016/S0004-3702(00)00072-2