CrossServe is introduced, a cross-layer scheduling framework that jointly optimizes request routing, adaptive micro-batching, and tenant-weighted preemption to maximize SLO attainment in multi-tenant LLM serving and increases overall SLO attainment by 53, 29, and 14 percentage points respectively.
Jia-He Li, Jia-Bin Li· Proceedings of the Internati...· 0 citations
The deployment of Large Language Models (LLMs) as multi-tenant cloud services is now widespread, but maintaining high Service Level Objective (SLO) attainment across diverse tenants remains challenging. Current serving systems focus on a single layer of the stack, either using iteration-level batching or coarse-grained...
Jia-He Li, Jia-Bin Li· Proceedings of the Internati...· 0 citations
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