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arXiv AI By Davide Lamagna, Albert Cabellos, Alberto Rodriguez-Natal, G\'abor R\'etv\'ari, Berta Serracanta

Towards Traffic Modelling of Multi-Agent Systems: The Role of Coordination Topology

Read the original on arXiv AI →

The paper investigates how different coordination topologies—sequential, star, and full-mesh—affect traffic patterns in multi-agent large language model (LLM) systems. By measuring LLM-call interarrival times over 500 runs per topology, the authors find that topology shapes request arrival processes, with fan-out coordination producing a bimodal distribution and the reasoning phase following a log-normal distribution rather than a Poisson model. These structural differences influence inference and network-level metrics.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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