2 papers
cs.SE2026
TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models
Yuvraj Sehgal, Sneh Patel, Mahsa Panahandeh +2
Machine learning models for system diagnostics rely on kernel execution traces to capture fine-grained system behavior, but collecting production traces in industrial systems is co…
cs.LG2021
On Improving Deep Learning Trace Analysis with System Call Arguments
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari +1
Kernel traces are sequences of low-level events comprising a name and multiple arguments, including a timestamp, a process id, and a return value, depending on the event. Their ana…