Association Analysis and Processing Strategy for Network Events Based on the Combination of RBR and CBR

Abstract:

In order to ensure the high performance, the high reliability, the high availability and the high service quality of network, fault management has become an urgent problem to be solved. The application of Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) is recognized as an economically viable network fault process technology. To meet the demands of network fault management, this paper presents an association analysis and processing strategy for network events based on the combination of RBR and CBR. The network events are firstly passed through pretreatment module, the useful ones are saved for the following processing. Then, the first processing strategy which is more appropriate is select by RBR/CBR selector. Besides, a new CBR processing strategy is proposed by this paper. By the use of the algorithm based on the preliminary screening and the calculating of variance, the processing efficiency of CBR improved. At last, if the alarm event is not been solved, the system will alarm the related people and the solution can be used to rich the rule base and the case base. Based on these steps, experimental results are given to verify the proposed strategy.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 2320-2325
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.2320
• Online since: November 2014
• Authors: Long Chen*, Yu Hui Chen, Jia Hua Liu, Rui Kang, Hai Rong Tang
• Keywords: CBR, Network Events, RBR

References

[1] C. P. Li, J.Q. Fang, Knowledge representation of planning based on RBR and CBR, Computer Engineering and Design, 2009 (22): 5166-5170.

[2] J. W. Ruo, Z.P. Shi, Integration Technique Based on Case-Based Reasoning and Rule-Based Reasoning, Journal of Computer Research and Deve lopment, 2007, 44(4): 660-666.

[3] Y. Li, X. Li, Q. Y. Wu Emergency Plan Generating Method Based on CBR and RBR, Ordnance Industry Automation, 2013, 5: 008.

[4] J. Cheng, C. H. Yan, P. X. Fan Network Intrusion Detection Model based on RBR and CBR, Information Network Security, 2013 (7): 47-49.

[5] Peng G, Chen G, Wu C, et al. Applying RBR and CBR to develop a VR based integrated system for machining fixture design[J]. Expert Systems with Applications, 2011, 38(1): 26-38.

DOI: 10.1016/j.eswa.2010.05.084

[6] Li Q P, Fang J Q. Knowledge representation of planning based on RBR and CBR[J]. Computer Engineering and Design, 2009, 30(22): 5166-5170.

[7] Xu L D. An integrated rule-and case-based approach to AIDS initial assessment[J]. International journal of bio-medical computing, 1996, 40(3): 197-207.

DOI: 10.1016/0020-7101(95)01145-5