Chronicler: Lightweight Recording to Reproduce Field Failures
Jonathan Bell, Nikhil Sarda, and Gail Kaiser
Columbia University, USA
Track: Technical Research
When programs fail in the field, developers are often left with limited information to diagnose the failure. Automated error reporting tools can assist in bug report generation but without precise steps from the end user it is often difficult for developers to recreate the failure. Advanced remote debugging tools aim to capture sufficient information from field executions to recreate failures in the lab but often have too much overhead to practically deploy. We present CHRONICLER, an approach to remote debugging that captures non-deterministic inputs to applications in a lightweight manner, assuring faithful reproduction of client executions. We evaluated CHRONICLER by creating a Java implementation, CHRONICLERJ, and then by using a set of benchmarks mimicking real world applications and workloads, showing its runtime overhead to be under 10% in most cases (worst case 86%), while an existing tool showed overhead over 100% in the same cases (worst case 2,322%).