I/O efficient dynamic data structures for longest prefix queries

Moshe Hershcovitch, Haim Kaplan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We present an efficient data structure for finding the longest prefix of a query string q in a dynamic database of strings.When the database strings are prefixes of IP-addresses then this is the IP-lookup problem. Our data structure is I/O efficient. It supports a query with a string q using O(logB(n) + |q| B ) I/O operations, where B is the size of a disk block. It also supports an insertion and a deletion of a string q with the same number of I/Os. The data structure requires O(n/B) blocks, and the running time for each operation is O(B logB(n) + |q|).

Original languageEnglish
Pages (from-to)371-390
Number of pages20
Issue number2
StatePublished - Feb 2013


FundersFunder number
United States-Israel Binational Science Foundation2006204


    • Algorithms
    • Data structures
    • I/O model
    • Longest prefix
    • Segment tree
    • String B-tree


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