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tail-aware-scheduling

topic1 events
papersSEP 12 04:00 UTC

arXiv Paper Proposes Tail-Aware Scheduling for Agentic LLM Workflows

A new arXiv preprint examines how agentic LLM workflows, which alternate model turns with tool calls, are affected by the timing of when completed turns are dispatched. The authors argue that separating a turn's readiness from its release lets runtimes optimize for tail latency rather than simply pushing each turn out immediately. The work targets scheduling policies that reduce worst-case end-to-end completion times for these multi-step pipelines.

agents/scheduling/llm-serving/latency