Intelligent monitoring method using time varying binomial distribution models for pseudo-periodic communication traffic

Kazunori Matsumoto, Kazuo Hashimoto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we deal with the degradation detection problem for telecommunication network gateways. The time series to be monitored is non-stationary but almost periodic (pseudo-periodic). The authors propose a technique called “optimization of partition model” which generates local stationary models for a pseudo-periodic time series. The optimization is based on the minimal AIC principle. The technique called SPRT is also applied to make efficient decisions. Experiments to evaluate methods for optimization, incremental model update, and the comparison with the conventional method are conducted with real data. The result shows the proposed method is effective and makes more precises decision than the conventional one.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ123-134
ページ数12
1642
ISBN(印刷版)3540663320, 9783540663324
DOI
出版ステータスPublished - 1999
外部発表はい
イベント3rd International Symposium on Intelligent Data Analysis, IDA 1999 - Amsterdam, Netherlands
継続期間: 1999 8 91999 8 11

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
1642
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other3rd International Symposium on Intelligent Data Analysis, IDA 1999
国/地域Netherlands
CityAmsterdam
Period99/8/999/8/11

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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