Abstract
On the basis of analyzing the evolution and drawbacks of current network fault diagnosis methods, a novel network data link troubleshooting system (NDTS) based on fuzzy neural network is proposed. NDTS tightly combines neural network and rough sets, so that it can be used to fit the smooth curves perfectly. Let the membership function as the base, an rule scavenging method is put forward in NDTS, which is the variable-precision modal, and the notion of variable-precision be founded on the measurement of dependent degree. Furthermore, NDTS is adopted to deal with the mapping relation, categorizing the network faults. The experiment system implemented by this method shows the proposed system is an open and efficient troubleshooting engine.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jacobson, V.: Data Link Fault Avoidance and Control. IEEE/ACM Transaction Networking 3, 314–329 (1998)
Caserri, C., Meo, M.: A New Approach to Model the Stationary Behavior of TCP Connections. In: Aviv, T. (ed.) Proc. IEEE INFOCOM2000, Israel, CA, pp. 245–251. IEEE Computer Society, Los Alamitos (2000)
Floyd, S., Fall, K.: Promoting the Use of End-to-End Network Troubleshooting in the Internet. IEEE/ACM Transaction Networking 4, 458–472 (2002)
Harris, B., Hunt, R.: TCP/IP Security Threats and Attack Methods. Computer Communications 10, 885–897 (2002)
Skoundrianos, E.N., Tzafestas, S.G.: Fault Diagnosis via Local Neural Networks. Mathematics and Computers in Simulation 60, 169–180 (2002)
Bullell, P., Inman, D.: An Expert System for the Analysis of Faults in an Electricity Supply Network: Problems and Achievements. Computer in Industry 37, 113–123 (1998)
Tagliaferri, R., Eleuteri, A., Meneganti, M., Barone, F.: Fuzzy Min-Max Neural Network: from Classification to Regression. Soft Computing 5, 69–76 (2001)
Gavalas, D., Greenwood, D., Ghanbari, M.: Advanced Network Monitoring Applications Based on Mobile/Intelligent Agent Technology. Computer Communications 23, 720–730 (2002)
Li, Q.M., Qi, Y., Zhang, H., Liu, F.Y.: New Network Fault Diagnosis Method Based on RS-Neural Network. Computer Research and Development 10, 1696–1702 (2004)
Li, Q.M., You, J., Zhang, H., Liu, F.Y.: Research and Design of a Data link User’s Safeguard Strategy. Journal of Beijing University of Aeronautics and Astronautics 11, 1029–1032 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, QM., Qi, Y., Xu, MW., Liu, FY. (2005). A New Method of Network Data Link Troubleshooting. In: Pan, Y., Chen, D., Guo, M., Cao, J., Dongarra, J. (eds) Parallel and Distributed Processing and Applications. ISPA 2005. Lecture Notes in Computer Science, vol 3758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576235_89
Download citation
DOI: https://doi.org/10.1007/11576235_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29769-7
Online ISBN: 978-3-540-32100-2
eBook Packages: Computer ScienceComputer Science (R0)