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Automatic Troubleshooter Generation for Computer Administration and Networks

Authors: Takao Shimomura -;

Automatic Troubleshooter Generation for Computer Administration and Networks

Abstract

Troubleshooters have been widely used in the industrial world. However, they do not provide detailed verification to find the final cause of a failure. This paper presents a method for generating Web-page based troubleshooters that deal with troubles about computer system administration and networks. The generated troubleshooter provides a manual diagnosis and an automated diagnosis for users. The automated diagnosis provides not only the cause of the trouble but also a solution to fix it. In addition, administrators' knowledge and experience for troubleshooting can be easily embedded into this generator by using command tags.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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