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

Erwin Harahap, Wataru Sakamoto, Hiroaki Nishi

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010
出版ステータスPublished - 2010
イベント8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010 - Kuching, Malaysia
継続期間: 2010 6 152010 6 18

出版物シリーズ

名前8th Asia-Pacific Symposium on Information and Telecommunication Technologies, APSITT 2010

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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