Title :
A Fast, Partially Parallelizable Algorithm for Predicting Execution Time of EQL Rule-Based Programs
Author :
Chen, Jeng-Rung ; Cheng, Albert Mo Kim
Abstract :
Real-time expert systems are embedded decision systems which must respond to changes in the environments within stringent timing constraints. A major problem impeding the use of rule-based expert systems in real-time environments is the difficulty in predicting the response time of these rule-based systems. In this paper, we tackle this problem with a fast, partially parallelizable response time analysis algorithm for a class of EQL rule-based programs with constant assignments in the action parts of the rules.
Conference_Titel :
Parallel Processing, 1994. ICPP 1994 Volume 3. International Conference on
Conference_Location :
North Carolina, USA
Print_ISBN :
0-8493-2493-9
DOI :
10.1109/ICPP.1994.24