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Author

Chen Tian

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2026

dBBR: Enhance BBR Performance With Delay Information

BBR, a model-based congestion control algorithm developed by Google, is known for its high tolerance to random loss and low latency. However, it exhibits limited competitiveness in deep buffers and suffers severe retransmissions in shallow buffers. To address these issues, we propose dBBR, which adjusts the congestion...

Yi-Bo Xiao, Cheng-Yuan Huang, Hong-Wei Yang et al. · 0 citations
Book Open access Aug 2026

Anytest: Localizing the Root Cause of Hardware Transport Performance Anomalies

Anytest, an in-situ black-box testing tool that localizes root causes of transport-layer NPAs on commodity RoCEv2 RNICs and Ethernet switches without re-cabling or hardware modification, and implements Anytest's DPDK-based endpoints, which realize protocol correctness while enforcing μs-level packet timing at the hardw...

Zhaochen Zhang, Jia-Qi Gao, Sheng Cheng et al. · 0 citations
Book Open access Aug 2026

CubeTrace: Microscopic Network Tracing for Heterogeneous Cloud Gateways

CubeTrace is presented, a unified, function-level flow tracing system that enables microscopic tracing inside heterogeneous cloud gateways and introduces minimal overhead, consuming less than 1% of memory resources and adding less than 1% to forwarding latency.

Yunming Xiao, Yinchao Yang, Jiaqi Zheng et al. · 1 citation
Conference Jul 2026

STON: Scaling Torus-Based AI Training Clusters via Optical Circuit Switches

Torus networks are deployed in production AI training clusters for their path diversity and low latency, but 2D Torus scales poorly: electrical packet switches compromise latency, and high-dimensional Torus introduces excessive routing complexity. We present STON (Scalable TOrus Network), a hierarchical architecture th...

Qinwei Yang, Peirui Cao, Ruyi Zhang et al. · 0 citations
Book Open access Jul 2026

BCCE: Block-Centric GPU Co-Design for Real-Time Range-Top-K Query at Scale

BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in m...

Chengying Huan, Ziheng Meng, Zhengyi Yang et al. · 0 citations

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