DocumentCode :
2711103
Title :
A Fast, Partially Parallelizable Algorithm for Predicting Execution Time of EQL Rule-Based Programs
Author :
Chen, Jeng-Rung ; Cheng, Albert Mo Kim
Volume :
3
fYear :
1994
fDate :
15-19 Aug. 1994
Firstpage :
17
Lastpage :
20
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.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 1994. ICPP 1994 Volume 3. International Conference on
Conference_Location :
North Carolina, USA
ISSN :
0190-3918
Print_ISBN :
0-8493-2493-9
Type :
conf
DOI :
10.1109/ICPP.1994.24
Filename :
5727822
Link To Document :
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