36 citations · 62 across the 8 of their papers we have counts for
7 papers · 1 filter
NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
Yingming Mao, Ximeng Liu, Jingyi Cheng +8
In production Wide-Area Networks (WANs), correlated failures dominate availability losses, forcing operators to reserve large safety margins that leave substantial capacity underut…
Leaf-centric Logical Topology Design for OCS-based GPU Clusters
Xinchi Han, Weihao Jiang, Yingming Mao +14
Recent years have witnessed the growing deployment of optical circuit switches (OCS) in commercial GPU clusters (e.g., Google A3 GPU cluster) optimized for machine learning (ML) wo…
ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks
Yingming Mao, Qiaozhu Zhai, Ximeng Liu +6
Reconfigurable data center networks (DCNs) enhance traditional architectures with optical circuit switches (OCSs), enabling dynamic reconfiguration of inter-pod links, i.e., the lo…
FastReChain: A Novel Bidirectional Model-Based Algorithm for Topology Engineering of OCS-Based Clusters
Zihan Zhu, Xinchi Han, Dongchao Wu +4
Optical Circuit Switching (OCS) technology is increasingly being adopted in data centers due to its advantages of low power consumption and low technology refresh costs. Unlike ele…
Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
Ximeng Liu, Zhuoran Liu, Yingming Mao +3
Recently, researchers have explored ML-based Traffic Engineering (TE), leveraging neural networks to solve TE problems traditionally addressed by optimization. However, existing ML…
NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network
Cong Liang, Xiangli Song, Jing Cheng +5
Recent advances in fast optical switching technology show promise in meeting the high goodput and low latency requirements of datacenter networks (DCN). We present NegotiaToR, a si…
FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering
Ximeng Liu, Shizhen Zhao, Yong Cui +1
Traffic Engineering (TE) is critical for improving network performance and reliability. A key challenge in TE is the management of sudden traffic bursts. Existing TE schemes either…