This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $625,380 to Duke University for a research project titled "CNS CORE:SMALL: Optimizing IP Anycast Performance at Scale." The project aims to develop techniques and tools to enable optimization of large-scale IP Anycast systems, with the goal of achieving low internet latencies using a minimal number of replica servers. Specifically, the research will explore using randomized algorithms to reduce the number of BGP experiments needed for Anycast catchment prediction, and investigate incorporating internet topology information to further reduce experiments. The project will also study how multi-path routing and non-common BGP policies impact catchment prediction accuracy, and examine whether heuristic knowledge of site locations can effectively scale Anycast performance optimization. Results will provide the research and network operations community with knowledge and tools to design efficient large-scale Anycast implementations. The three-year project period extends from October 1, 2022 through September 30, 2025.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $625.4k | 8/15/22 |