Network self-fault management based on multi-intelligent agents and windows management instrumentation (WMI)‎

Other Title(s)

الإدارة الذاتية للأخطاء في الشبكة بالاعتماد على نظام تعدد الوكلاء الذكي و إدارة نوافذ الأدوات القياسية

Joint Authors

al-Rawi, Maha Abd al-Karim Hammud
Hammud, Dalal Naim
Abd Allah, Hasanayn Samir

Source

Baghdad Science Journal

Issue

Vol. 14, Issue 4 (31 Dec. 2017), pp.823-831, 9 p.

Publisher

University of Baghdad College of Science for Women

Publication Date

2017-12-31

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Abd Allah, Hasanayn Samir& al-Rawi, Maha Abd al-Karim Hammud& Hammud, Dalal Naim. 2017. Network self-fault management based on multi-intelligent agents and windows management instrumentation (WMI). Baghdad Science Journal،Vol. 14, no. 4, pp.823-831.
https://search.emarefa.net/detail/BIM-797215

Modern Language Association (MLA)

Abd Allah, Hasanayn Samir…[et al.]. Network self-fault management based on multi-intelligent agents and windows management instrumentation (WMI). Baghdad Science Journal Vol. 14, no. 4 (Dec. 2017), pp.823-831.
https://search.emarefa.net/detail/BIM-797215

American Medical Association (AMA)

Abd Allah, Hasanayn Samir& al-Rawi, Maha Abd al-Karim Hammud& Hammud, Dalal Naim. Network self-fault management based on multi-intelligent agents and windows management instrumentation (WMI). Baghdad Science Journal. 2017. Vol. 14, no. 4, pp.823-831.
https://search.emarefa.net/detail/BIM-797215

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 830-831

Record ID

BIM-797215