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Bryant L. Poole

dblp:28/2090 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › real-time scheduling
event-driven scheduling		 0.011994
Performance Evaluation of Rule Grouping on a Real-Time Expert System Architecture · IEEE Trans. Knowl. Data Eng. 1994
Embedded and real-time systems
real-time scheduling		 0.011994
Performance Evaluation of Rule Grouping on a Real-Time Expert System Architecture · IEEE Trans. Knowl. Data Eng. 1994

Methods — techniques the papers use, named apart from their topics

markov process modeling · 0.0kernighan-lin heuristic graph partitioning · 0.0
YearPublicationVenuePosition
1994 Performance Evaluation of Rule Grouping on a Real-Time Expert System Architecture
abstract
Uses a Markov process to model a real-time expert system architecture characterized by message passing and event-driven scheduling. The model is applied to the performance evaluation of rule grouping for real-time expert systems running on this architecture. An optimizing algorithm based on Kernighan-Lin heuristic graph partitioning for the real-time architecture is developed and a demonstration system based on the model and algorithm has been developed and tested on a portion of the advanced GPS receiver (AGR) and manned manoeuvring unit (MMU) knowledge bases.>
Ing-Ray Chen, Bryant L. Poole
 IEEE Trans. Knowl. Data Eng.2