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Quota-Based Aging for Prediction-Guided Scheduling in LLM Serving
Large language model (LLM) serving systems use token-level continuous batching to improve resource utilization, but heterogeneous response lengths complicate request scheduling. Prediction-guided short-first scheduling reduces average latency but can severely delay long requests, while unrestricted
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