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With the development of IPv6 and edge computing, the edge network shouldsupport IPv6 lookup (the longest prefix matching, LPM) with high lookup speed,high update speed, and low memory cost. However, the trie-based algorithms,e.g., SAIL and Poptrie, mainly focus on the IPv4 ruleset but have disadvantagesin the edge IPv6 ruleset with longer prefix length. The binary-based algorithmHi-BST also has limited lookup speed with too many memory accesses. Therefore,we propose the SegMobaTree algorithm to achieve high-performance IPv6 lookup inthe edge network. First, MobaTree is a multilayer online balanced tree toperform high-speed binary search among rules with different prefix lengths.Second, to avoid one large tree, we propose the dynamic programming method tosplit prefix lengths into a few suitable segments, which tradeoff between thenumber of segments and the scale of trees. Compared to SAIL, Poptrie, andHi-BST, SegMobaTree achieves 1.5x, 1.7x, 1.6x lookup speed and 11.8x, 32.8x,1.3x update speed with low memory cost.

SegMobaTree: The Segmented Multilayer Online Balanced Tree for high-performance IPv6 Lookup in the Edge Network