Cisco Research
Enterprise Networking is undergoing the most significant architectural change since the introduction of software-defined networking (SDN) about a decade ago. The motivation is that current enterprises face several networking challenges including: (1) quickly adapting a network to meet new application or service requirements, (2) detecting network problems and identifying associated solutions to resolve the problem, and (3) minimizing security vulnerabilities, including quickly detecting, identifying, and remediating security threats. To address these challenges, the network industry is developing a new architectural approach referred to as Intent-Based Networking (IBN). IBN builds on SDN in several dimensions:
A diverse set of recent advances may be applied in an intent-based network: contextual-dependent natural language processing (NLP) to convert human-expressed intents to machine-understandable goals, machine learning (ML) for anomaly detection and prediction, and machine reasoning (MR) for root-cause analysis. Traditional mechanisms like simulation or formal logic methods may also find renewed applicability in IBN to proactively identify challenges or validate network changes before they are implemented into the infrastructure.
This call for research requests innovative approaches to advance any of the functional components of an intent-based network architecture: Translation, Activation, Assurance. Specific areas of interest include (but are not limited to):
After a preliminary review, we may ask you to revise and resubmit your proposal. RFPs maybe be withdrawn as research proposals are funded, or interest in the specific topic is satisfied. Researchers should plan to submit their proposals as soon as possible.
You can find the information by scrolling down to the bottom of the webpage: Research Gifts. If your questions are not answered in the FAQs, please contact research@cisco.com.
IPR will stay with the university. Cisco expects customary scholarly dissemination of results and hopes that promising results would be made available to the community without limiting licenses, royalties, or other encumbrances.