Parallel and Distributed Processing Symposium, International (2001)
San Francisco, California, USA
Apr. 23, 2001 to Apr. 27, 2001
Some classes of real-time systems operate in environments hat cannot be modeled with static approaches. In such an environment, we neither have a priori knowledge about the system workload, nor is it possible to have a priori knowledge about worst-case execution time (WCET). There is no guarantee that all the deadlines of he periodic tasks will be met by using the rate monotonic analysis (RMA) approach. This paper presents an empirical and space-efficient way to predict the execution time. Experimental results have shown that for the dynamic real-time system, the best approach is a combination of static system profiling and dynamic prediction.
Y. Zhou, E. Huh and L. R. Welch, "Important Considerations for Execution Time Analysis of Dynamic,Periodic Processes," Parallel and Distributed Processing Symposium, International(IPDPS), San Francisco, California, USA, 2001, pp. 30097a.