Hierarchical Server Architecture for Agentic Science
Agentic science is transforming the landscape of computational work, and is applied to scientific pipelines and workload managers. Scientific workloads require specialized hardware within and between institutions. Automated resource discovery is an essential step for scheduling workloads with specific hardware and environmental requirements. In this paper, we present a hierarchical, dynamic architecture and accompanying software to discover resources across diverse cloud, edge, and HPC systems. The design enables concurrent, asynchronous negotiation, selection, and dispatch of requests for work using secretary agents. The agents probe and discover 51 real and simulated providers across 7 ...
| Authors | Vanessa Sochat, Daniel Milroy |
|---|---|
| Primary category | cs.DC |
| Published | 5 August 2026 |
| Last updated at source | 8 September 2026 |
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