R. Sterritt, A.H. Marshall, C.M. Shapcott, and S.I. McClean. Exploring dynamic bayesian belief networks for intelligent fault management systems. Proc. IEEE Int. Conf. Systems, Man And Cybernetics, V, PP3646-3652 , Sept 2000. Home/Search Document Details and Download
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The Simple Event Monitor, A Tool for Network Management - Casey (Correct)
....The goal is to provide network operators with the reasons for faults as soon as possible, and, if possible, suggesting or automating the application of corrective measures. This is a very active area of research and development, particularly among the leading network management software vendors. [41], 17] 20] In the liTErature, this real time interpretation process is referred to as event correlation. Due to its competitive advantage, most of the leading proprietary network management software products now claim to have an event correlation engine capable of performing this type of ....
....of the system. Though dicult to implement in practice, the research shows promise of being able discover network problems before they occur. This approach has had limited 17 application in research; no commercial products are known to use this technique, but is being seriously studied. 15] 43] [41] Codebooks The coding based approach attempts to create noise insensitive correlation. The relationships between known event sequences are characterized into a correlation matrix, essentially a binary matrix that maps events to alarms. That is, a matrix of ones and zeros, where events are the ....
R. Sterritt, A.H. Marshall, C.M. Shapcott, and S.I. McClean. Exploring dynamic bayesian belief networks for intelligent fault management systems. Proc. IEEE Int. Conf. Systems, Man And Cybernetics, V, PP3646-3652 , Sept 2000.
Soft Computing and Fault Management - Sterritt (2001) Self-citation (Sterritt) (Correct)
....frame. It shows quite clearly a correlation between alarms. This confirms the results of a Bayesian Belief Network (BBN) induction algorithm which had produced a very high score for p(LP PLM PPI Unexp Signal) Figure 4 Screenshot of NxGantt with comments displaying a discovered correlation [7] Ultimately the judgement of the expert is required to determine whether the discovered correlations are useful, whether the data was representative of normal fault circumstances and as such whether the correlation should be plugged into the FMS. A rule based agent component system that can be ....
R. Sterritt, A.H. Marshall, C.M. Shapcott, S.I. Mcclean, "Exploring Dynamic Bayesian Belief Networks For Intelligent Fault Management Systems", Proc. IEEE Int. Conf. Systems, Man And Cybernetics, V, PP3646-3652, Sept. 2000.
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