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Cyberinfrastructure Knowledge Network

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The Cyberinfrastructure Knowledge Network (CKN) is an extensible and portable distributed framework designed to optimize AI at the edge—particularly in dynamic environments where workloads may change suddenly (for example, in response to motion detection). CKN enhances edge–cloud collaboration by using historical data, graph representations, and adaptable deployment of AI models to satisfy changing accuracy‑and‑latency demands on edge devices. It integrates with the Patra Knowledge Base to provide end-to-end model provenance from training through edge deployment.

For guidance on what Tutorials, How-To Guides, and Explanation content covers, see Diátaxis.

References​

Acknowledgements​

This work has been funded by grants from the National Science Foundation, and in part through Plale Lab at The University of Oregon.

National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)

Issue reporting​

Report issues via GitHub Issues.