Intelligent Fault Diagnosis in Computer Networks | Xin Hu
| | Abstract | As the computer networks become larger and more complicated, fault diagnosis becomes a difficult task for network operators. Typically, one fault in the communication system always produces large amount of alarm information, which is called alarm burst. Because of the large volume of information, manually identifying the root cause is time-consuming and error-prone. Therefore, automated fault diagnosis in computer networks is an open research problem.
The aim of this thesis is to develop a software system for Motorola Denmark, which assists network operators to diagnose fault in an intelligent, highly accurate and efficient way.
In this thesis, we shall analyze the current fault diagnosis techniques. Then we shall propose a generic framework for constructing fault diagnosis systems used in computer networks. Finally, we shall design and implement such a system specifically for Motorola Denmark. | | Keywords | Fault localization, Fault Diagnosis, Event Correlation, Rule-Based Reasoning, Model-Based Reasoning | | Type | Master's thesis [Academic thesis] | | Year | 2007 | | Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU | | Address | Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby | | Series | IMM-Thesis-2007-49 | | Note | | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Computer Science & Engineering |
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