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

Emre Kiciman; Armando Fox

doi:10.1109/tnn.2005.853411

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

Emre Kiciman·Armando Fox

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Abstract

Most Internet services (e-commerce, search engines, etc.) suffer faults. Quickly detecting these faults can be the largest bottleneck in improving availability of the system. We present Pinpoint, a methodology for automating fault detection in Internet services by: 1) observing low-level internal structural behaviors of the service; 2) modeling the majority behavior of the system as correct; and 3) detecting anomalies in these behaviors as possible symptoms of failures. Without requiring any a priori application-specific information, Pinpoint correctly detected 89%-96% of major failures in our experiments, as compared with 20%-70% detected by current application-generic techniques.

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Algorithms Artifacts Artificial Intelligence Computer Simulation Information Storage and Retrieval Internet Models, Statistical Pattern Recognition, Automated Signal Processing, Computer-Assisted Telecommunications Evaluation Study Journal Article

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Emre Kiciman, Armando Fox. 2005. Detecting application-level failures in component-based internet services.. https://doi.org/10.1109/tnn.2005.853411

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