Presentation 2014-03-14
Mining normal log sequential patterns for failure analysis of enterprise system
Ryosuke TOGAWA, Shinjiro YAGI,
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Abstract(in English) Log messages of information systems have specific patterns. They are important for failure analysis to detect error messages. On the other hand, log messages are complicated because of natures of log, such as parallel processes, similar processes, an explosion of a process and a change of order of messages in the pattern. In this paper we propose novel method to extract correct patterns from complicated logs. We introduced constrained conditions based on the natures into pattern extraction. With the experimental result, we showed the proposed method improves the accuracy of pattern extraction. We'll verify the effect on failure analysis with actual data.
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Keyword(in English) Log / Log messages / Failure Analysis / Patterns
Paper # ICM2013-62
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Committee ICM
Conference Date 2014/3/6(1days)
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Registration To Information and Communication Management(ICM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mining normal log sequential patterns for failure analysis of enterprise system
Sub Title (in English)
Keyword(1) Log
Keyword(2) Log messages
Keyword(3) Failure Analysis
Keyword(4) Patterns
1st Author's Name Ryosuke TOGAWA
1st Author's Affiliation NEC Knowledge Discovery Research Laboratories()
2nd Author's Name Shinjiro YAGI
2nd Author's Affiliation NEC Knowledge Discovery Research Laboratories
Date 2014-03-14
Paper # ICM2013-62
Volume (vol) vol.113
Number (no) 492
Page pp.pp.-
#Pages 6
Date of Issue