Work

Efficient Reproduction of Fault-Induced Failures in Distributed Systems with Feedback-Driven Fault Injection

Year: 2024

Type: conference-paper

Abstract: Debugging a failure usually requires reproducing it first. This can be hard for failures in production distributed systems, where bugs are exposed only by some unusual faulty events. While fault injection testing becomes popular, existing solutions are designed for bug finding. They are ineffective and inefficient to reproduce a specific failure during debugging.

Source: ACM SIGOPS Symposium on Operating Systems Principles (SOSP)

DOI: 10.1145/3694715.3695979

Authors: Jia Pan, Haoze Wu, Tanakorn Leesatapornwongsa, Suman Nath, Peng Huang

Institutions: Johns Hopkins University, Microsoft (United States), University of Michigan

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: CAREER: Towards Gray-Fault Tolerant Cloud through Harnessing and Enhancing System Observability, CNS Core: Small: Intelligent Fault Injection to Expose and Reproduce Production-Grade Bugs in Cloud Systems, FMitF: Track I: Synthesizing Semantic Checkers for Runtime Verification of Production Distributed Systems