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- research-articleFebruary 2024
ShapleyIQ: Influence Quantification by Shapley Values for Performance Debugging of Microservices
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 287–323https://doi.org/10.1145/3623278.3624771Years of experience in operating large-scale microservice systems strengthens our belief that their individual components, with inevitable anomalies, still demand a quantification of the influences on the end-to-end performance indicators. On a causal ...
- research-articleFebruary 2024
Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 1–18https://doi.org/10.1145/3623278.3624766Accurate disassembly of stripped binaries is the first step in binary analysis, instrumentation and reverse engineering. Complex instruction sets such as the x86 pose major challenges in this context because it is very difficult to distinguish between ...
- research-articleFebruary 2024
Sleuth: A Trace-Based Root Cause Analysis System for Large-Scale Microservices with Graph Neural Networks
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 324–337https://doi.org/10.1145/3623278.3624758Cloud microservices are being scaled up due to the rising demand for new features and the convenience of cloud-native technologies. However, the growing scale of microservices complicates the remote procedure call (RPC) dependency graph, exacerbates the ...