I/O efficient dynamic data structures for longest prefix queries

被引:0
|
作者
Hershcovitch, Moshe [1 ]
Kaplan, Haim [2 ]
机构
[1] Tel Aviv Univ, Fac Elect Engn, IL-69978 Tel Aviv, Israel
[2] Tel Aviv Univ, Sch Comp Sci, IL-69978 Tel Aviv, Israel
来源
ALGORITHM THEORY - SWAT 2008 | 2008年 / 5124卷
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We present an efficient data structure for finding the longest prefix of a query string p in a dynamic database of strings. When the strings are IP-addresses then this is the IP-lookup problem. bur data structure is I/O efficient. It supports a query with a string p using O(log(B)(n) + \p\/B) I/O operations, where B is the size of a disk block. It also supports an insertion and a deletion of a string p with the same number of I/O's. The size of the data structure is linear in the size of the database and the running time of each operation is O(log(n) + \p\).
引用
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页码:29 / +
页数:2
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