Abstract
This paper introduces a framework for event correlation in communication systems. We will show how the concept of a class in objectoriented methodology can be used to provide scalability to the framework. Events and system topology information are combined to generate the causal information needed for correlation. Geometric representation of codewords is used to overcome the noise factor. Temporal reasoning is explored to reduce noise and increase the number of event patterns that can be detected. The framework has been applied to a wireless communication system.
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References
ANSI T1.215, OAM&P-fault management messages for interface between operations systems and network elements, 1994.
Appleby, K., Goldszmidt, G., Stiender, M., “Yemanja-A Layered Event Correlation Engine for Multi-domain Server Farms,” Integrated Network Management VII, pp. 329–344, May 2001.
Jakobson, G., Weissman, M., Brenner, L., Lafond, C., Matheus, C., “GRACE: Building Next Generation Event Correlation Services,” Proceedings of IEEE/IFIP Network Operations and Management Symposium, pp. 701–714, April 2000.
Jakobson, G., Weissman, M., “Alarm Correlation,” IEEE Network, Vol. 7, No. 6, pp. 52–59, Nov. 1993.
Sheers, K., “HP OpenView Event Correlation Services,” Hewlett-Packard Journal, pp. 31–42, Oct. 1996.
Wietgrefe, H., Tuchs, K., Jobmann, K., Carls, G., Frohlich, P., Nejdl, W., Steinfeld, S., “Using Neural Networks for Alarm Correlation in Cellular Networks,”International Workshop on Applications of Neural Networks in Telecommunications, pp. 248–255, June, 1997.
Weiss, G., Eddy, J., Weiss, S., “Intelligent Telecommunication Technologies,” in Knowledge-Based Intelligent Techniques in Industry, Jain, L., Johnson, R., Takefuji, Y., Zadeh, L., Editors, pp. 251–275, CRC Press, Boca Raton, FL, 1999.
Kliger, S., Yemini, S., Yemini, Y., Oshie, D., Stolfo, S., “A Coding Approach to Event Correlation,” In A.S. Sethi, Y. Raynaud, and F. Faure-Vincent, editors, Proceedings of the Fourth IEEE/IFIP International Symposium on Integrated Network Management, pp. 266–277, Chapman and Hall, London, UK, May 1995.
Yemini, S., Kliger, S., Mozes, E., Yemini, Y., Oshie, D., “High Speed and Robust Event Correlation,” IEEE Communications Magazine, Vol. 34, No. 5, pp. 82–90, May 1996.
Albaghdadi, M., Hood, C., Hamlen, M., “A Framework for Distributed Event Correlation,” Proceedings of the 17th IASTED International Conference-Applied Informatics, pp. 467–470, Innsbruck, Austria, Feb. 1999.
Lo, C., Chen, S., “Robust Event Correlation Scheme for Fault Identification in Communications Network,” GlobeCom, pp. 3745–3750, 1998.
Hasan, M., Sugla, B., Viswanathan, R., “A Conceptual Framework for Network Management Event Correlation and Filtering Systems,” Sixth IFIP/IEEE International Symposium, pp. 233–246, 1999.
Wang, C., Schwartz, M., “Fault Detection with Multiple Observers,” INFOCOM, pp. 2187–2196, 1992.
Bouloutas, A., Hart, G., Schwartz, M., “Simple Finite-State Detectors for Communication Networks,” IEEE Transactions on Communications, Vol. 40, No. 3, pp. 477–479, March 1992.
Bouloutas, A., Hart, G., Schwartz, M., “Fault Identification Using a Finite State Machine Model with Unreliable Partially Observed Data Sequences,” IEEE Transactions on Communications, Vol. 41, No. 7, pp. 1074–1083, July 1993.
Rouvellou, I., Hart, G., “Automatic Alarm Correlation for Fault Identification,” INFOCOM, pp. 553–561, 1995.
Deng, R., Lazar, A., Wang, W., “A Probabilistic Approach to Fault Diagnosis in Linear Lightwave Networks,” IEEE Journal on Selected Areas in Communications, Vol. 11, No. 9, pp. 1438–1448, Dec. 1993.
Dawes, N., Altoft, J., Pagurek, B., “Network Diagnosis by Reasoning in Uncertain Nested Evidence Spaces,” IEEE Transactions on Communications, Vol. 43, No. 2/3/4, pp. 466–476, Feb./Mar./Apr. 1995.
Boubour, R., Jard, C., Aghasaryan, A., Fabre, E., Benveniste, A., “A Petri Net Approach to Fault Detection and Diagnosis in Distributed Systems. Part I: Application to Telecommunication Networks, Motivation, and Modeling,” Proceedings of the 36th Conference on Decision and Control, pp. 720–725, San Diego, CA, Dec. 1997.
Aghasaryan, A., Fabre, E., Benveniste, A., Boubour, R., Jard, C., “A Petri Net Approach to Fault Detection and Diagnosis in Distributed Systems. Part II: Extending Viterbi algorithm and HMM Technique to Petri Nets,” Proceedings of the 36th Conference on Decision and Control, pp. 726–731, San Diego, CA, Dec. 1997.
Stremler, F., Introduction to Communication Systems, Third Edition, Addison Wesley, Reading, MA, 1990.
Orgun, M. A., Ma, W., “An Overview of Temporal and Modal Logic Programming,” in Temporal Logic, First International Conference, ICTL 94, pp. 445–479, Springer-Verlag, Bonn Germany, July, 1994.
Liu, G., Mok, A. K., Yang, E. J., “Composite Events for Network Event Correlation,” Integrated Network Management VI, pp. 247–260, May 1999.
Hamming, R., Coding and Information Theory, Second Edition, Prentice-Hall, Englewood Cliffs, NJ, 1986.
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Albaghdadi, M., Briley, B., Evens, M., Sukkar, R., Petiwala, M., Hamlen, M. (2001). A Framework for Event Correlation in Communication Systems. In: Al-Shaer, E.S., Pacifici, G. (eds) Management of Multimedia on the Internet. MMNS 2001. Lecture Notes in Computer Science, vol 2216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45508-6_23
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DOI: https://doi.org/10.1007/3-540-45508-6_23
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