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Detecting application-level failures in component-based Internet services

机译:在基于组件的Internet服务中检测应用程序级故障

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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.
机译:大多数Internet服务(电子商务,搜索引擎等)都存在故障。快速检测这些故障可能是提高系统可用性的最大瓶颈。我们介绍Pinpoint,一种通过以下方法在Internet服务中自动进行故障检测的方法:1)观察服务的底层内部结构行为; 2)将系统的多数行为建模为正确; 3)将这些行为中的异常检测为可能的故障症状。不需要任何先验的特定于应用程序的信息,Pinpoint可以正确地检测出我们实验中89%-96%的主要故障,而当前的通用应用程序检测出的故障率为20%-70%。

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