In this chapter, we propose a web-based management tool for maintaining computers in a LAN environment. The proposed tool has two main features. One function is to detect hardware faults by utilizing Cacti [1]. Cacti is a complete network graphing solution designed to harness the power of RRDTool (Round Robin Database Tool)’s data storage and graphing functionality. The other function is to detect software errors from abnormal state messages appearing in system LOG files not only in the operating system (OS) but also in the application software. The system finds abnormal states using diagnostic rules that are extracted by automatically de- fined groups (ADG) [2, 3]. Moreover, the developed system notifies administrators by sending an e-mail if it finds an abnormal state in the hardware or software. The developed system is successfully operated in university computer labs with more than 300 computers and 20 servers, without any human monitors.
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References
Cacti. Open Source Software. http://cacti.net/
Hara A, Nagao T (1999) “Emergence of cooperative behavior using ADG; Automatically Defined Groups,” Proc. of the 1999 Genetic and Evolutionary Computation Conf., pp. 1039–1046
Kurosawa Y, Hara A, Ichimura T, Kawano Y (2006) “Extraction of Error Detection Rules without Supervised Information from Log Files Using Automatically Defined Groups,” Proc. of The 2006 IEEE International Conference on System, Man and Cybernetics, pp. 5314–5319
The Open Source Definition, http://www.opensource.org/docs/osd
The Open Source Initiative, http://www.opensource.org/search/node
The Linux Kernel Archives, http://www.kernel.org/
GNU General Public License, http://www.opensource.org/licenses/gpl-license.php
Eric Steven Raymond, “The Cathedral and Bazaar”, http://www.tuxedo.org/~esr/
Information-Technology Promotion Agency, http://www.ipa.go.jp/index-e.html
OSS center in IPA, http://www.ipa.go.jp/software/open/ossc/english/index.html
Lonvick C (2001) The BSD Syslog Protocol, RFC3164, August
Hallam-Baker PM, Behlendorf B (1996) W3C Working Draft WD-logfile-960323, http://www.w3.org/TR/WD-logfile.html
Logwatch, http://www2.logwatch.org:8080
The Apache Software Foundation Log Files, Apache HTTP Server Version 2.2 Manual, http://httpd.apache.org/docs/2.2/logs.html, 2006
Hara A, Ichimura T, Yoshida K (2005) “Discovering multiple diagnostic rules from coronary heart disease database using automatically defined groups,” Journal of Intelligent Manufacturing, Vol.16, No.6, pp. 645–661
Hara A, Ichimura T, Takahama T, Isomichi Y (2004) “Discovery of Cluster Structure and The Clustering Rules from Medical Database Using ADG; Automatically Defined Groups,” Knowledge-Based Intelligent Systems for Healthcare, T. Ichimura and K. Yoshida (Eds.), pp. 51–86
RRDTool. http://oss.oetiker.ch/rrdtool/
McCloghrie K (1990) Management Information Base for Network Management of TCP/IP-based internets, RFC1156, May
McCloghrie K (1991) Management Information Base for Network Management of TCP/IP-based internets:MIB-II, RFC1156, March
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Ichimura, T., Kurosawa, Y., Hara, A., Mackin, K.J. (2008). An Intelligent Maintenance System with Open Source Software. In: Huang, X., Chen, YS., Ao, SI. (eds) Advances in Communication Systems and Electrical Engineering. Lecture Notes in Electrical Engineering, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74938-9_13
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DOI: https://doi.org/10.1007/978-0-387-74938-9_13
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