Profiling node conditions of distributed system with sequential pattern mining

Yu Hirate, Hayato Yamana

研究成果: Conference contribution

抄録

Recently, with wide-spread of distributed systems, distributed monitoring systems are needed to mange such systems. However, since monitoring architecture of distributed system faces a huge amount of log data which come from local computing nodes, information aggregation is fundamental scheme for monitoring distributed system. In this paper, we preset a novel approach for extracting computing node-condition profiles by using sequential pattern mining, which is one of data mining techniques. Extracted computing node condition profiles represent node condition patterns which are occurred in many computing nodes frequently. Thus, extracted profiles enable summarized distributed system conditions to be small sized and easy-understandable information.

本文言語English
ホスト出版物のタイトルProceedings - 1st International Workshop on Software Technologies for Future Dependable Distributed Systems, STFSSD 2009
ページ43-48
ページ数6
DOI
出版ステータスPublished - 2009
イベント1st International Workshop on Software Technologies for Future Dependable Distributed Systems, STFSSD 2009 - Tokyo, Japan
継続期間: 2009 3月 172009 3月 18

出版物シリーズ

名前Proceedings - 1st International Workshop on Software Technologies for Future Dependable Distributed Systems, STFSSD 2009

Conference

Conference1st International Workshop on Software Technologies for Future Dependable Distributed Systems, STFSSD 2009
国/地域Japan
CityTokyo
Period09/3/1709/3/18

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 情報システム

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