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Daphne: Performance Debugging Using Model-driven Anomaly Characterization



Vision It is not uncommon for complex systems (like multicomponent online services) to perform worse than expected. Configuration errors, buggy code, and tricky middleware/OS behavior induce performance anomalies under certain workloads and system configurations. It is challenging to pinpoint root causes of such performance problems in complex systems. Currently, performance problems are solved by system administrators who intimately understand the system and are willing to forgo a personal life. Our work in progress, Daphne, aims to reduce the burden on performance debuggers by generating detailed performance anomaly reports and suggesting potential solutions. Daphne extends recent performance debugging tools [1, 2, 4] by supplying a more comprehensive view of performance anomalies. Whereas previous tools were concerned about locating offending applicatio

Year: 2008
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