// project
FabAID
National fabric of open data services for data-intensive and AI-driven research.
FabAID is an NSF-funded project building a fabric of services to accelerate data-intensive and AI-driven science — federating storage, caching, discovery, and workflows into an open service layer.
My work focuses on cybersecurity and operations for the FabAID service fabric: token-based authorization between services, and the operational practices that keep federated data delivery reliable.
A fabric that spans institutions cannot rely on a shared perimeter, so authorization has to travel with the request. That is the same capability-based model as SciTokens, applied to a data layer that is still being built.
Technologies
- OSDF — Open Science Data Federation
- XRootD — XRootD distributed data access framework
- Ceph
- Kubernetes
- SciTokens — SciTokens capability-based authorization
- JWT — JSON Web Tokens
- Go
- Python