CuVPP: Filter-based Longest Prefix Matching in Software Data Planes
By Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique | Sep 15 2020
IEEE Cluster 2020 Kobe – The paper titled “CuVPP: Filter-based Longest Prefix Matching in Software Data Planes” wins “Best Papers” award at IEEE Cluster 2020 on September 15th.
Programmability in network switches (or data planes) has become increasingly important with increasing network virtualization in the Internet infrastructure and large-scale data centers. A critical challenge in data plane programmability is to maintain high-speed packet processing performance with ever increasing link speed to hundreds of Gbps or Tbps. Another challenge is the rapid growing routing table size, e.g., more than 500,000 entries.
We implement CuVPP as part of the Real Software Switch VPP and provide a comprehensive evaluation using popular alternative approaches with realistic data sets for network prefixes and traffic.