Online anomaly symptom detection and process's resource usage control

Midori Sugaya, Kimio Kuramitsu

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

In this paper we propose an online lightweight anomaly symptom detection and process's resource usage control mechanism. Our system collects fine-grain resource information that can reflect the subtle changes of the application's behavior. Then it creates models with a learning-based algorithm without manual configurations. If an anomaly symptom is detected, the automatic procedure will start. The system will control the suspected application's resource use by limiting the upper bound resource of the process. The method will make the application yield its CPU to the administrative inspection. In this paper, we described whole architecture of the system and evaluate it with the non deterministic and deterministic failure. Our experimental results indicate that our prototype system is able to detect non deterministic failure with high precision in anomaly training and control it's resource use with an overhead of about 1%.

元の言語English
ホスト出版物のタイトルProceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011
ページ364-371
ページ数8
DOI
出版物ステータスPublished - 2011 5 12
外部発表Yes
イベント2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011 - Tokyo and Hiroshima, Japan
継続期間: 2011 3 232011 3 27

出版物シリーズ

名前Proceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011

Conference

Conference2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011
Japan
Tokyo and Hiroshima
期間11/3/2311/3/27

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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  • これを引用

    Sugaya, M., & Kuramitsu, K. (2011). Online anomaly symptom detection and process's resource usage control. : Proceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011 (pp. 364-371). [5741383] (Proceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011). https://doi.org/10.1109/ISADS.2011.106