APPLYING INTEGRATED EXPERT SYSTEM IN NETWORK MANAGEMENT

Antonio Martín, Carlos León, Juan I. Guerrero, Francisco J. Molina

2007

Abstract

The management of modern telecommunications networks is becoming an increasingly demanding task that is difficult to implement using present traditional methods even assisted by conventional automation techniques. Integration of advanced Artificial Intelligence (AI) technology into existing and future network management system may resolve some of the difficulties. The goal of this research is to develop an integrated expert system for management network applications. The emphasis of this research is to provide a broad view of intelligent systems by capturing the knowledge of human experts and using a modular approach that integrates the knowledge management and network resources specifications. For this purpose, an extension of OSI management framework specifications language has been added and investigated. The advantage of integrating both is that a large problem can be broken down into smaller and manageable sub-problems/modules. Through modification of existing resources or addition of new resources, the integrated expert system can be conveniently expanded in the future to cover the latest research findings and updated standards of network communications.

References

  1. Morris, S. B., (2003). Network Management, MIBs and MPLS: Principles, Design and Implementation. Prentice Hall
  2. Clemm, A., (2006). Network Management Fundamentals. Cisco Press.
  3. ISO/IEC. (1992). Structure of management information - Part 4: Guidelines for the definition of managed objects. CCITT X. 722 / ISO 10165-4. Geneva.
  4. ITU-T. (1996). Principles for a Telecommunications Management Network (TMN). Rec. M.3010.
  5. Hebrawi, B. (1995). GDMO, Object modeling and definition for network management. Technology appraisals
  6. Leon, C., Mejias, M., Luque, J., Gonzalo, F. (1999). Expert System for the Integrated Management of a Power Utility's Communication System. IEEE Trans on Power Delivery, Vol. 14, No. 4, 1208-1212
  7. Martín, A., León, C., Monedero, I. (2006). The Evolution of OSI Network Management by Integrated the Expert Knowledge. Publisher Springer Berlin / Heidelberg. LNCS, 402-409.
  8. Garcia, R.C.; Cannady, J. (2001). Boundary expansion of expert systems: incorporating evolutionary computation with intrusion detection solutions. SoutheastCon. IEEE, 96-99.
  9. Giarratano, J. C., Riley, G. D., (2005). Expert Systems: Principles and Programming. Book, Brooks/Cole Publishing Co.
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Paper Citation


in Harvard Style

Martín A., León C., I. Guerrero J. and J. Molina F. (2007). APPLYING INTEGRATED EXPERT SYSTEM IN NETWORK MANAGEMENT . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 101-106. DOI: 10.5220/0002361201010106


in Bibtex Style

@conference{iceis07,
author={Antonio Martín and Carlos León and Juan I. Guerrero and Francisco J. Molina},
title={APPLYING INTEGRATED EXPERT SYSTEM IN NETWORK MANAGEMENT},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={101-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002361201010106},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - APPLYING INTEGRATED EXPERT SYSTEM IN NETWORK MANAGEMENT
SN - 978-972-8865-89-4
AU - Martín A.
AU - León C.
AU - I. Guerrero J.
AU - J. Molina F.
PY - 2007
SP - 101
EP - 106
DO - 10.5220/0002361201010106