• The Journal of the Korea Contents Association
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• v.7 no.3
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• pp.50-59
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• 2007

IP address lookup is one of the most important and complex functions in the router. In this paper, we propose an improved technique of LC-trie to increase the performance of IP address lookup in the high performance router. We effectively apply the prefix pruning method, which is used for the compression of the forwarding table in TCAM((Ternary Content Addressable Memory), to the LC-trie. This technique can decrease the number of memory accesses and upgrade the lookup speed. Moreover, through the real forwarding table and the real traffic distribution, we evaluate the performance of our scheme in terms of the lookup time and the number of memory access, comparing with that of the previous LC-trie.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.11C
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• pp.43-50
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• 2001

The IP routing uses the longest-matching prefix to determine the destination. Fast lookup should be required for the high speed routing. We propose a modified LC-trie, called multiple LC-trie, which is suitable data structure for fast address-lookups in software implementation. To reduce the number of memory accesses, our scheme analyzes the distribution of IP address access pattern, and constructs multiple LC:-tries for frequently accessed IP addresses. Our experimental results show that our scheme can perform faster than the original LC-trie schemes.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.4
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• pp.406-412
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• 2001

IP address lookup is to determine the next hop destination of an incoming packet in the router. The address lookup is a major bottleneck in high performance router due to the increased routing table sizes, increased traffic, higher speed links, and the migration to 128 bits IPv6 addresses. IP lookup time is dependent on data structure of lookup table and search scheme. In this paper, we propose a new approach to build a lookup table that satisfies the memory constraint. The design of lookup table is formulated as an optimization problem. The objective is to minimize average depth from the root node for lookup. We assume that the frequencies with which prefixes are accessed are known and the data structure is level compressed trie with branching factor $\kappa$ at the root and binary at all other nodes. Thus, the problem is to determine the branching factor k at the root node such that the average depth is minimized. A heuristic procedure is proposed to solve the problem. Experimental results show that the lookup table based on the proposed heuristic has better average and the worst-case depth for lookup.