UUM Electronic Theses and Dissertation
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Webmag : Web Base Servers Management Using Case-Based Reasoning

Saranee, Supornpipat (2004) Webmag : Web Base Servers Management Using Case-Based Reasoning. Masters thesis, Universiti Utara Malaysia.

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Abstract

The approach presented in this project is to develop a web-based application for monitoring and management LDAP server based on Case Base Reasoning (CBR) technique. CBR system implemented on the web, is the web application, using HTTP form to submit queries to the CBR server and using Java Server Page, for implementation. There are 1152 cases, with 5 features e.g. amount of free memory (MB), amount of disk swap usage (MB), percentage of CPU load, percentage of CPU idle status, amount of open files for the process and LDAP response time (msec.). LDAP response time is used as a target data for CBR process. The system received all parameters in every minute. Next step is "case retrieval”, a process select the closest match case. Second step is “case reuse”, adapt the LDAP response time to the
suggestion results e.g. “Normal”, “Attention” and “Critical”. Third step is to compare the normalized LDAP response time from searched case with the normalized LDAP response time from actual case. If there is no different between these values, new case will be added to previous cases database, but if there is different between these cases, searched case will be deleted from previous cases database. Finally “case retainment”, the purpose to add new case in to previous cases database and delete
failure cases from previous cases database. The benefit of the system is the open source software allowing developer to implement CBR functionality in application using web-base application that can run any where and any time.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 1434
Uncontrolled Keywords: Web Based Application System, Server Management, Case-Based Reasoning, Light Weight Directory Access Protocol (LDAP)
Subjects: Q Science > QA Mathematics > QA76 Computer software > QA76.76 Fuzzy System.
Divisions: Faculty and School System > Faculty of Information Technology
Date Deposited: 17 Feb 2010 07:55
Last Modified: 24 Jul 2013 12:11
Department: Faculty of Information Technology
URI: https://etd.uum.edu.my/id/eprint/1434

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