Towards the improvement of performance anomaly prediction

Marat Zhanikeev, Yoshiaki Tanaka

研究成果: Conference contribution

抄録

Growing demand for pro-active abilities in network management requires performance monitoring agents not only to be able to monitor the anomalies, but also to predict future occurrences. Recent research in this area would usually apply a neural network algorithm on raw SNMP or NetFlow data to obtain the knowledge about the patterns in performance data. The results are not always satisfactory due to highly unpredictable nature of cross-traffic in the network. This paper attempts to improve the prediction quality by using data obtained from end-to-end probing. The results prove higher resilience to cross-traffic interference and better pattern recognition.

本文言語English
ホスト出版物のタイトルFirst IEEE and IFIP International Conference in Central Asia on Internet, 2005
DOI
出版ステータスPublished - 2005
イベントFirst IEEE and IFIP International Conference in Central Asia on Internet, 2005 - Bishkek, Kyrgyzstan
継続期間: 2005 9 262005 9 28

出版物シリーズ

名前First IEEE and IFIP International Conference in Central Asia on Internet, 2005
2005

Conference

ConferenceFirst IEEE and IFIP International Conference in Central Asia on Internet, 2005
国/地域Kyrgyzstan
CityBishkek
Period05/9/2605/9/28

ASJC Scopus subject areas

  • 工学(全般)

フィンガープリント

「Towards the improvement of performance anomaly prediction」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル