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Beyond Greedy Chunking: SLO-Aware Sliding-Window Scheduling for LLM Inference
arXiv:2606.05933v1 Announce Type: new Abstract: With the rapid growth of interactive applications in large language model (LLM) online services, maintaining high system throughput while ensuring user-perceived latency has become a key issue in inference scheduling. Existing LLM service systems rely on coarse-grained output constraints, making it difficult to effectively handle resource contention among multiple requests, resulting in low resource utilization efficiency and limited support...