Abstracts of published research. Full papers are at the publisher.
← Back to Documentation HubIntroduces dataset descriptors as a control-plane abstraction for autonomous biomedical pipelines: structured, versioned specifications that bind a dataset to its policies, permissible actions, and observability requirements, enabling decentralized policy enforcement and real-time auditability in regulated research environments.
In the conference proceedings; IEEE Xplore record pending.
Introduces Agentic Datasets as a standalone engineering control-plane abstraction in which datasets are elevated from passive storage artifacts to first-class stateful entities encoding intent, policy, and lifecycle semantics across heterogeneous data-intensive infrastructure.
IEEE, pp. 326–332. DOI 10.1109/CCECE68150.2026.11610344
DEVS-grounded control-plane formulation of agentic datasets, framing dataset evolution as discrete-event behavior and using discrete-event simulation to evaluate policy, observability, and lifecycle semantics for data-intensive systems.
Work-in-progress paper, 4 pp, SCS Digital Library. The full-paper submission was not accepted; the chairs invited this WiP version.