NDLI: Extraction of Error Detection Rules without Supervised Information from Log Files Using Automatically Defined Groups

Content Provider	IEEE Xplore Digital Library
Author	Kurosawa, Y. Hara, A. Ichimura, T. Kawano, Y.
Copyright Year	2006
Description	Author affiliation: Hiroshima City Univ., Hiroshima (Kurosawa, Y.; Hara, A.; Ichimura, T.)
Abstract	Our main aim is to extract multiple rules from log files in the computer systems, to detect various levels of errors, and to inform these errors or configuration mistakes to the system administrators automatically, in order to manage them without expert knowledge. To satisfy this aim, we performed an extraction experiment from the log files of a system using Automatically Defined Groups (ADG), which is based on Genetic Programming. Moreover, we focused on "System State Pattern" related to the difference between normal daily state and abnormal state that some errors occur in the system. In this experiment, then, we tried to extract rules without any manually managed and supervised information, by using simple translation technique: regular expressions. As a result, 50 agents in the best individual were divided into 16 groups from 322 log files. This means that 16 rules were acquired. We confirmed these rules could detect some errors such as DNS configuration error. We could also find the importance of the rules because the rule with more agents tended to have a higher adopted frequency by evolutionary computation. Therefore, we consider that our method using ADG is useful for the diagnosis of computer systems, and helps administrators manage their systems without expert knowledge about their systems.
Starting Page	5314
Ending Page	5319
File Size	2643502
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.385153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Computer errors Knowledge management Local area networks Genetic programming Computer networks Protocols Operating systems Databases Cybernetics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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