NSF proposal

Networking Technology and Systems (NeTS)

Encourages new approaches to creating dependable autonomous, self-driving networks or self-healing networks, for example by replacing traditional methods with automated processes that can adapt to changes without causing instability, especially those based on AI, machine learning (ML) and emerging methods as well as the use of network verification. Projects may address full stack explainability including approaches where the provenance of every data/control flow dependency is well known.
Invites proposals that address research relevant to commercial trends that are expected to impact future networks such as cloud repatriation—where companies are moving their cloud service back in-house and require networks that are secure-by-construction, cost-efficient and agile. Another trend is multi-cloud networking which, for example, may leverage understanding and principles of the massive scale and distributed nature of the Internet in this context.
Supports projects focusing on end-to-end services that span edge to core to cloud, potentially integrating and optimizing across wired and wireless technologies and networks.
Funds research on holistic approaches to support efficient and dynamic resource allocation, utilization, and sharing; seek efficient and dynamic approaches to integrated sensing and communication, interference management and the coexistence of multiple co-located networks, potentially including different radio technologies and network protocols.