Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.06033.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Paper introducing ASGE-RR, an online controller that allocates network resources for AI-agent workflows whose dependency calls to models, memory stores, and tools are revealed at runtime. It uses revisable reservations to protect capacity for predicted future calls. Evaluated on OpenHands and GPT Researcher workflows, completing up to 10% more workflow value than baseline controllers on a WAN testbed.

Names a concrete network-control problem specific to agentic workflows (runtime-revealed dependency calls) and proposes a measurable algorithm with controlled experiments against baselines, rather than conceptual speculation.

Cited by

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