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Related Experiment Videos

Detecting application-level failures in component-based internet services.

Emre Kiciman1, Armando Fox

  • 1Department of Computer Science, Stanford University, Stanford, CA 94305, USA. emrek@cs.stanford.edu

IEEE Transactions on Neural Networks
|October 29, 2005
PubMed
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Pinpoint automates fault detection in internet services by observing system behavior and identifying anomalies. This approach significantly improves failure detection rates compared to existing methods.

Area of Science:

  • Computer Science
  • Software Engineering
  • Network Systems

Background:

  • Internet services like e-commerce and search engines are prone to faults, impacting system availability.
  • Rapid fault detection is crucial for enhancing the reliability and performance of these services.
  • Current fault detection methods often lack efficiency and accuracy.

Purpose of the Study:

  • To introduce Pinpoint, an automated methodology for detecting faults in internet services.
  • To address the bottleneck in fault detection for improved system availability.
  • To provide a system that requires no prior application-specific knowledge.

Main Methods:

  • Observing low-level internal structural behaviors of internet services.
  • Modeling the majority system behavior as the baseline for correct operation.

Related Experiment Videos

  • Detecting deviations from the norm (anomalies) as indicators of potential failures.

    • Main Results:

    • Pinpoint achieved 89%-96% accuracy in detecting major failures during experimental evaluations.
    • This detection rate significantly outperforms current application-generic techniques, which range from 20%-70%.
    • The methodology operates effectively without needing pre-existing, application-specific information.

    Conclusions:

    • Pinpoint offers a robust and automated solution for internet service fault detection.
    • The anomaly detection approach enhances the speed and accuracy of identifying system failures.
    • This methodology presents a significant advancement in improving the availability of internet services.