Online anomaly symptom detection and process's resource usage control

Midori Sugaya, Kimio Kuramitsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publicationProceedings - 2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011
Pages364-371
Number of pages8
DOIs
Publication statusPublished - 2011 May 12
Event2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011 - Tokyo and Hiroshima, Japan
Duration: 2011 Mar 232011 Mar 27

Publication series

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

Conference

Conference2011 10th International Symposium on Autonomous Decentralized Systems, ISADS 2011
CountryJapan
CityTokyo and Hiroshima
Period11/3/2311/3/27

Keywords

  • Anomaly symptom detection
  • Operating system
  • Resource control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Sugaya, M., & Kuramitsu, K. (2011). Online anomaly symptom detection and process's resource usage control. In 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