UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Intelligent Agent Based Fault Detection System

Ahmad Fawzi, Mohammad Jehad Baeth (2010) Intelligent Agent Based Fault Detection System. Masters thesis, Universiti Utara Malaysia.

[thumbnail of Mohammad_Jehad_Baeth_Ahmad_Fawzi.pdf]

Download (833kB) | Preview
[thumbnail of 1.Mohammad_Jehad_Baeth_Ahmad_Fawzi.pdf]

Download (164kB) | Preview


The current IP-network management systems normally utilize the centralized (client-server) architecture. Researchers have stated that, those systems may cause serious efficiency defects, when the complexity and size of the network increases. Automated network monitoring systems have some limitation. They are known of making a huge
overload on the network bandwidth due to their unnecessary message transaction between the server and the monitored hosts. Moreover, the lack of getting appropriate information that describes the malfunction makes it hard for the administrational team to identify the source of reported error. An innovative distributed intelligent agent based fault detection system that operates on Windows platform was presented, to capture abnormal and faulty behaviors on both application and system levels. The design proces of the intelligent agent utilized the ability of reactive operating and independent decision taking. The system has a web based graphical user interface to facilitate the accessibility to such vital information. Several evaluation scenarios were conducted to evaluate the
trustworthiness and performance criterion of the proposed system.

Item Type: Thesis (Masters)
Supervisor : Ku Mahamud, Ku Ruhana
Item ID: 2210
Uncontrolled Keywords: System Design, Network Monitoring, Fault Detection System
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 26 Dec 2010 07:19
Last Modified: 21 Apr 2022 06:41
Department: College of Arts and Sciences
Name: Ku Mahamud, Ku Ruhana
URI: https://etd.uum.edu.my/id/eprint/2210

Actions (login required)

View Item
View Item