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Network expert diagnostic system for real-time control
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 207 - 216  
Year of Publication: 1989
ISBN:0-89791-320-5
Author
Terry L. Janssen  CSC Technology Center, Falls Church, VA
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bandler, J., Salama, A., "Fault Diagnosis of Analog Circuits," Proc. IEEE, 73(8), pp. 1279-1325, Aug. 1985.
 
2
Bemstein, L., Yuhas, C., "Expert Systems in Network Management- The Second Revolution," IEEE Sel. Areas Comm., 6(5), pp. 784-87, June 1988.
 
3
Boyd, R., Johnston, A., "Network Operations and Management in a Multi-Vendor Environment," IEEE Communications, 25(7), pp. 40-47, July 1987.
4
 
5
Cantone, R., Lander, W., Marrone, M., Gaynor, M., "IN-ATE/ 2: Interpretating High-Level Fault Modes," First Conf. on Artificial Intelligence Applications, pp. 470-475, Dec. 1984.
 
6
Craig, I., "The Ariadne-1 Blackboard System," Computer Journal, 29(3), pp. 235-240, 1986.
 
7
Cronk, R., Callahan, P., Bemstein, L. "Rule-Based Expert Systems for Network Management and Operations: An Introduction'', IEEE Network, 2(5), pp. 7-21, 1988.
 
8
Diamond, F., "Intelligent Communications," MILCOM-87, Proc. IEEE Military Comm. Conf., Washington, D.C., vol. 2, pp. 745-6, Oct. 1987.
 
9
Forgy, C., "Rete: A Fast Algorithm for the Many Pattern/ Many Object Pattern Matching Problem," Artificial Intelligence, Menlo Park, vol. 19, pp. 17-37, 1982.
 
10
Forgy, C., Gupta, A., Newell, A., Wendig, R., "Initial Assessment of Architectures for Production Systems," AAAI-84, Proc. of the Third National Conf. on Artificial Intelligence, Austin, TX, pp. 116-120, 1984.
 
11
Fennell, R., Lesser, V., "Parallelism in Artificial Intelligence Problem Solving: A Case Study of Hearsay II," IEEE Trans. Computers, C-26(2), pp. 98-111, Feb. 1977.
 
12
Fredman, N., "An Analysis of Qualitative Reasoning and Dependence Modeling in Fault Diagnosis and Testability Assessment," Third Annual Expert Systems in Government Conference, IEEE Comp. Soc. Press, pp. 169-75, Oct. 1987.
 
13
Ganesan, K., Ganti, M., "A Multimedia Front-End for an Expert Network Management System,"lEEE Sel. Areas Comm., 6(5), pp. 788-91, June 1988.
 
14
Gilkes, A., Nekhom, A., "Applying Expert Systems to Online Fault Isolation," Texas Instruments Engineering Journal, pp. 19-24, Jan.-Feb. 1986,
 
15
 
16
 
17
 
18
ISO #9595/2, Common Management Information Service Definition, International Standards Organization, New York, 1987.
 
19
ISO #9596/2, Common Management Information Protocol Specification, International Standards Organization, New York, 1987.
 
20
Laffey, T., Perkins, W., Nguyen, T., "Reasoning about Fault Diagnosis with LES," First Conference on Artificial Intelligence Applications, IEEE Computer Society Press, New York, pp. 267-73, Dec. 1984.
 
21
Merry, M., "APEX 3: An Expert System Shell for Fault Diagnosis," Journal of Research, 1(1), pp. 39-47, 1983.
 
22
Sutter, M., Zeldin, P., "Designing Expert Systems for Realtime Diagnosis of Self-Correcting Networks," IEEE Network, 2(5), pp. 43-51, September 1988.
 
23
Ward, T., Bye, P., "Automated Network Management," Telecommunications, 19(1), pp. 47-52, January 1985.


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