TY - GEN
T1 - Combining high level symptom descriptions and low level state information for configuration fault diagnosis
AU - Lao, Ni
AU - Wen, Ji-Rong
AU - Ma, Wei-Ying
AU - Wang, Yi-Min
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2004
Y1 - 2004
N2 - Automatic fault diagnosis is an important problem for system management. In this paper, we combine high level symptom descriptions and low level state information to solve the system fault diagnosis problem. We extract state-symptom correlation information from knowledge sources in text format, and then use symptom similarity to rank the candidate system states. We apply the method to Windows Registry problems to help Product Support Service (PSS) engineers. Promising results with two different knowledge sources show the robustness of our method. Finally, we explain why this combination is successful and also discuss its limitations. © LISA 2004.All right reserved.
AB - Automatic fault diagnosis is an important problem for system management. In this paper, we combine high level symptom descriptions and low level state information to solve the system fault diagnosis problem. We extract state-symptom correlation information from knowledge sources in text format, and then use symptom similarity to rank the candidate system states. We apply the method to Windows Registry problems to help Product Support Service (PSS) engineers. Promising results with two different knowledge sources show the robustness of our method. Finally, we explain why this combination is successful and also discuss its limitations. © LISA 2004.All right reserved.
UR - https://www.scopus.com/pages/publications/85094812553
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85094812553&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - LISA 2004 - 18th Large Installation System Administration Conference
SP - 151
EP - 157
BT - LISA 2004 - 18th Large Installation System Administration Conference
PB - USENIX Association
T2 - 18th Large Installation System Administration Conference, LISA 2004
Y2 - 14 November 2004 through 19 November 2004
ER -