Automatic Root-Cause Diagnosis of Performance Anomalies in Production Software
Source: University of Michigan
Troubleshooting the performance of complex production software is challenging. Most existing tools, such as profiling, tracing, and logging systems, reveal what events occurred during performance anomalies. However, the users of such tools must then infer why these events occurred during a particular execution; e.g., that their execution was due to a specific input request or configuration setting. Because manual root cause determination is time-consuming and difficult, this paper introduces performance summarization, a technique for automatically inferring the root cause of performance problems. Performance summarization first attributes performance costs to fine-grained events such as individual instructions and system calls.