Agentic systems deployed across the compute continuum need discovery mechanisms that remain effective across cloud, edge, and intermittently connected domains. In some emerging agentic architectures, decentralized discovery is already an active design direction, placing DHT-based lookup on the path toward agent directories. This paper studies the trade-offs among major structured-overlay families for agent discovery, comparing Chord, Pastry, and Kademlia as candidate indexing substrates within a shared control-plane framework. Using a benchmark subset centered on a 4096-node stationary comparison and a representative 4096-node churn benchmark, the paper characterizes how discovery reliability, startup behavior, and control-plane overhead vary across these overlays. The goal is to clarify the operating points they expose for agent discovery across edge-to-cloud environments.

翻译：在横跨云计算、边缘计算及间歇性连接域的计算连续体中，部署的智能体系统需要保持有效的发现机制。在某些新兴的智能体架构中，去中心化发现已成为一个活跃的设计方向，基于分布式哈希表（DHT）的查找被引入智能体目录的实现路径。本文研究了用于智能体发现的主要结构化覆盖网络家族之间的权衡，在共享控制平面框架内，将Chord、Pastry和Kademlia作为候选索引基底进行比较。通过使用以4096节点静态比较和代表性4096节点动态扰动基准为核心的基准测试子集，本文描述了这些覆盖网络在发现可靠性、启动行为和控制平面开销方面的差异。其目标是阐明这些覆盖网络在边缘到云环境中为智能体发现所呈现的工作点。