Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)

This paper proposed a new method for network self-fault management (NSFM) based on two technologies: intelligent agent to automate fault management tasks, and Windows Management Instrumentations (WMI) to identify the fault faster when resources are independent (different type of devices). The propos...

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Main Author: Baghdad Science Journal
Format: Article
Language:Arabic
Published: College of Science for Women, University of Baghdad 2017-12-01
Series:Baghdad Science Journal
Subjects:
Online Access:http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2430
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author Baghdad Science Journal
author_facet Baghdad Science Journal
author_sort Baghdad Science Journal
collection DOAJ
description This paper proposed a new method for network self-fault management (NSFM) based on two technologies: intelligent agent to automate fault management tasks, and Windows Management Instrumentations (WMI) to identify the fault faster when resources are independent (different type of devices). The proposed network self-fault management reduced the load of network traffic by reducing the request and response between the server and client, which achieves less downtime for each node in state of fault occurring in the client. The performance of the proposed system is measured by three measures: efficiency, availability, and reliability. A high efficiency average is obtained depending on the faults occurred in the system which reaches to 92.19%, availability 92.375%, and reliability 100%. The proposed system managed five devices. The NSFM implemented using Java and C# languages.
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spelling doaj.art-c9d340c1f4d44020a5e9ddc89bdc05e22022-12-22T03:11:30ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862017-12-0114410.21123/bsj.14.4.823-831Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)Baghdad Science JournalThis paper proposed a new method for network self-fault management (NSFM) based on two technologies: intelligent agent to automate fault management tasks, and Windows Management Instrumentations (WMI) to identify the fault faster when resources are independent (different type of devices). The proposed network self-fault management reduced the load of network traffic by reducing the request and response between the server and client, which achieves less downtime for each node in state of fault occurring in the client. The performance of the proposed system is measured by three measures: efficiency, availability, and reliability. A high efficiency average is obtained depending on the faults occurred in the system which reaches to 92.19%, availability 92.375%, and reliability 100%. The proposed system managed five devices. The NSFM implemented using Java and C# languages.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2430"Network Self-Fault Management, Intelligent Agent, Fault Detection, Fault Identification, Fault Recovery."
spellingShingle Baghdad Science Journal
Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
Baghdad Science Journal
"Network Self-Fault Management, Intelligent Agent, Fault Detection, Fault Identification, Fault Recovery."
title Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
title_full Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
title_fullStr Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
title_full_unstemmed Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
title_short Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI)
title_sort network self fault management based on multi intelligent agents and windows management instrumentation wmi
topic "Network Self-Fault Management, Intelligent Agent, Fault Detection, Fault Identification, Fault Recovery."
url http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2430
work_keys_str_mv AT baghdadsciencejournal networkselffaultmanagementbasedonmultiintelligentagentsandwindowsmanagementinstrumentationwmi