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.· IEEE Transactions on Network...· 0 citations
Giganetes is a GPU-centric architecture for stateless LLM serving that externalizes KV caches to a disaggregated remote memory pool via GPUDirect RDMA, eliminating session affinity constraints and enabling near-linear horizontal scaling in a Kubernetes-native deployment.
Xiao-Liang Wang, Zhen-Wei Pi, Rui Zhang et al.· Conference on Applications,...· 0 citations
Experimental results demonstrate that PSN-PATH significantly outperforms existing solutions, reducing FCT by 95.81%, enhancing goodput by 5.11×, and reducing retransmissions by over 99% under high-load, lossy conditions.
Zhe-Xiong Li, Shugui Wei, Puyu Zhao et al.· Conference on Applications,...· 0 citations
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