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Author

Bao-Kang Zhao

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Conference Open access Sep 2026

SplitScaling: Adaptive Scaling for Disaggregated LLM Serving Against Traffic Bursts via DRL

This work proposes a Deep Reinforcement Learning-based auto-scaling framework tailored for the PD architecture that enables the agent to capture non-linear load dynamics, thereby achieving decoupled and precise scaling for prefill and decode pools.

Wei Xiao, Xue-Feng Huang, Wei-Jia Shi et al. · 0 citations
Conference Jul 2026

Towards High-Fidelity Emulation of Dynamic Network Channel Characteristics

High-precision and large-capacity network delay emulation is essential for algorithm validation and system testing in cloud computing, satellite communications and vehicular IoT. This paper proposes a novel FPGA-based high-bandwidth delay emulation method, which buffers packets in on-chip Ultra RAM, maps packet identif...

Xu Zhu, Baokang Zhao, Dapeng Wang et al. · 0 citations

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