High-performance IP lookup using Intel Xeon Phi: a Bloom filters based approach

Abstract

Abstract IP lookup is a core operation in packet forwarding, which is implemented using a Longest Prefix Matching (LPM) algorithm to find the next hop for an input address. This work proposes and evaluates the use of parallel processors to deploy an optimized IP lookup algorithm based on Bloom filters. We target the implementation on the Intel Xeon Phi (Intel Phi) many-core coprocessor and on multi-core CPUs, and also evaluate the cooperative execution using both computing devices with several optimizations. The experimental evaluation shows that we were able to attain high IP lookup throughputs of up to 182.7 Mlps (Million packets per second) for IPv6 packets on a single Intel Phi. This performance indicates that the Intel Phi is a very promising platform for deployment of IP lookup. We also compared the Bloom filters to an efficient approach based on the Multi-Index Hybrid Trie (MIHT) in which the Bloom filters was up to 5.1 × faster. We also propose and evaluate the cooperative use of CPU and Intel Phi in the IP lookup, which resulted in an improvement of about 1.3 × as compared to the execution using only the Intel Phi.

Keywords

• Longest prefix matching
• Software router
• Intel Xeon Phi