Tiresias: Black-Box Failure Prediction in Distributed Systems

Faults in distributed systems can result in errors that manifest in several ways, potentially even in parts of the system that are not collocated with the root cause. These manifestations often appear as deviations (or “errors”) in performance metrics. By transparently gathering, and then identifying escalating anomalous behavior in, various node-level and system-level performance metrics, the Tiresias system makes black-box failure-prediction possible. Through the trend analysis of performance metrics, Tiresias provides a window of opportunity (look-ahead time) for system recovery prior to impending crash failures. We empirically validate the heuristic rules of the Tiresias system by analyzing fault-free and faulty performance data from a replicated middleware-based system.

• Type: Conference
• Year: 2007
• Where: IPPS
• Authors: Andrew W. Williams, Soila M. Pertet, Priya Narasimhan
• Keywords: Distributed And Parallel Computing, Faulty Performance Data, IPPS 2007, Performance Metrics, System-level Performance Metrics