Failure prediction method for network management system by using Bayesian network and shared database

Erwin Harahap, Wataru Sakamoto, Hiroaki Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Network Management System (NMS) is a service that employs a variety of tools, applications, and devices to assist network administrators on monitoring and maintaining network. Keeping the network in high quality of service is the main purpose of NMS. This paper proposed a method to solve the network problem by making a prediction of failure based on network-data behavior. The prediction represented by conditional probability generated by Bayesian network. Bayesian network is a probability graphical model for representing the probabilistic relationship among a large number of variables and doing probabilistic inference with those variables. In order to describe how the prediction works, we discuss the prediction result by simulation on network congestion.

Original languageEnglish
Title of host publication8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010
Publication statusPublished - 2010 Sep 16
Event8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010 - Kuching, Malaysia
Duration: 2010 Jun 152010 Jun 18

Publication series

Name8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010

Other

Other8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010
CountryMalaysia
CityKuching
Period10/6/1510/6/18

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Keywords

  • Bayes theorem
  • Congestion
  • Fault management
  • Network Management System
  • Prediction

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Harahap, E., Sakamoto, W., & Nishi, H. (2010). Failure prediction method for network management system by using Bayesian network and shared database. In 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010 [5532294] (8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010).