3 papers
cs.LG2025
DYNAMIX: RL-based Adaptive Batch Size Optimization in Distributed Machine Learning Systems
Yuanjun Dai, Keqiang He, An Wang
Existing batch size selection approaches in distributed machine learning rely on static allocation or simplistic heuristics that fail to adapt to heterogeneous, dynamic computing e…
cs.PF2025
eHashPipe: Lightweight Top-K and Per-PID Resource Monitoring with eBPF
Yuanjun Dai, Qingzhe Guo, Xiangren Wang
System-level resource monitoring with both precision and efficiency is a continuous challenge. We introduce eHashPipe, a lightweight, real-time resource observability system utiliz…
cs.ET2025
PSketch: A Priority-Aware Sketch Architecture for Real-Time Flow Monitoring via eBPF
Yuanjun Dai, Qingzhe Guo, Xiangren Wang
Sketch-based monitoring in SDN often suffers from tightly coupled pipeline and memory constraints, limiting algorithmic flexibility and reducing accuracy. We propose PSketch, the f…