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HAServe: Horizon-Aware Scheduling and Memory Co-Design for Efficient LLM Serving
Online large language model (LLM) services process requests that share context but differ in prefix structure and arrival timing. Finite capacity couples request admission and key-value (KV) retention. This paper addresses one online serving problem: using a unified view of visible demand to choose
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