A blackboard architecture for control
Artificial Intelligence
PARLOG: parallel programming in logic
ACM Transactions on Programming Languages and Systems (TOPLAS) - The MIT Press scientific computation series
Parallel implementation of OPS5 on the encore multiprocessor: results and analysis
International Journal of Parallel Programming
Parallelism in Production Systems
Parallelism in Production Systems
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Hi-index | 0.00 |
Data communications networks are controlled by network management systems that are responsible for performance and fault management. This paper presents an expert system capable of performing fault and performance management through different levels of autonomous control. A blackboard architecture design provides for processing of multiple lines of machine reasoning and planning: the set of all unresolved events is used to generate hypotheses of network state through event correlation and ancillary network information; supporting network data provides evidence that supports or refutes the hypotheses; conclusions are drawn from the hypotheses; plans of corrective action are built, executed, and monitored to attempt improvement to a “normal” network state.