| 摘要 |
A router uses the destination address of its incoming packets to decide the proper outgoing interfaces by searching among all of the stored prefixes for the prefix which has the longest match when compared to the destination address in the packet. Prefix trees are employed to represent the set of prefixes to be searched and high-speed, longest prefix matches are performed. An efficient data structure compresses any prefix tree structure so that the number of memory accesses needed to find the longest prefix for any address depends only on the length of the prefix rather than on the number of stored prefixes. Illustratively, only four, 64-bit memory accesses are required to find the longest prefix match for each IPv4 address in the worst case, while only 3 Mbytes are required to store a 128K-entry routing table.
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