2 papers
cs.NI2026
RIGEL: Real-time Optical Anomaly Diagnosis with Stateful In-Network Inference based on Distributed On-switch GNNs
Zhen Wei, Yidong Wang, Yufan Zhu +4
The recent booming of data-intensive applications has complicated optical network management, making real-time optical anomaly diagnosis a must-have feature. However, existing appr…
cs.NI2026
Rain: RDMA-assisted In-Network Scheduling for Microsecond-scale Workloads
Zhihuang Ma, Xingming Cui, Xiaoliang Chen +1
Modern data center applications increasingly require microsecond-scale service time with strict tail latency requirements, which can hardly be realized with existing in-network tas…