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20242026
most citedIA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads

2 citations · 2 across the 8 of their papers we have counts for

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cs.DC2026

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics

Youhe Jiang, Ran Yan, You Peng +4

Modern Large Language Model (LLM) serving operates in highly volatile environments characterized by severe runtime dynamics, such as workload fluctuations and elastic cluster autos…

cs.DC2026

OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration

Youhe Jiang, Fangcheng Fu, Taiyi Wang +2

Serving Large Language Models (LLMs) can benefit immensely from parallelizing both the model and input requests across multiple devices, but incoming workloads exhibit substantial…