Title :
Progress: an approach for defining and monitoring non deterministic design-to-time methods
Author :
Charpillet, François ; Boyer, Anne
Author_Institution :
CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France
Abstract :
Guaranteed response time is one of the most important issues encountered in designing real time systems. The AI community has developed various approaches to solve this problem, e.g. anytime algorithms, approximate processing, design to time scheduling and progressive reasoning. All these approaches rely on a trade-off between run time and quality of results. In the framework of the ESPRIT projects Nos. 5145 and 7805 REAKT (Real time Knowledge Tool), we have developed a similar approach called PROGRESS (PROGressive REasoning System). PROGRESS manages AI tasks with hard and soft deadlines, provided that competing methods are available for the tasks to be solved. A comparison was made between our model and a conventional algorithm (Earliest Deadline Algorithm) and showed the higher robustness and efficiency of PROGRESS
Keywords :
computational complexity; inference mechanisms; program diagnostics; real-time systems; scheduling; system monitoring; AI community; AI task management; ESPRIT projects; Earliest Deadline Algorithm; PROGRESS; PROGressive REasoning System; REAKT; Real time Knowledge Tool; anytime algorithms; approximate processing; competing methods; design to time scheduling; guaranteed response time; non deterministic design-to-time methods; progressive reasoning; real time systems design; soft deadlines; Algorithm design and analysis; Artificial intelligence; Availability; Delay; Design methodology; Monitoring; Process design; Processor scheduling; Real time systems; Runtime;
Conference_Titel :
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
0-8186-8203-5
DOI :
10.1109/TAI.1997.632296