Hytrace: a hybrid approach to performance bug diagnosis in production cloud infrastructures.

Server applications running inside production cloud infrastructures are prone to various performance problems (e.g., software hang, performance slow down). When those problems occur, developers often have little clue to diagnose those problems. We present HyTrace, a novel hybrid approach to diagnosing performance problems in production cloud infrastructures. HyTrace combines rule-based static analysis and runtime inference techniques to achieve higher bug localization accuracy than pure-static and pure-dynamic approaches for performance bugs. HyTrace does not require source code and can be applied to both compiled and interpreted programs such as C/C++ and Java. We conduct experiments using real performance bugs from seven commonly used server applications. The results show that our approach can significantly improve the performance bug diagnosis accuracy compared to existing diagnosis techniques.