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Knollmann, Till;Scheideler, Christian:

A Self-Stabilizing Hashed Patricia Trie.

, CoRR /abs/1809.04923, Sep. 2018


While a lot of research in distributed computing has covered solutions for self-stabilizing computing and topologies, there is far less work on self-stabilization for distributed data structures. Considering crashing peers in peer-to-peer networks, it should not be taken for granted that a distributed data structure remains intact. In this work, we present a self-stabilizing protocol for a distributed data structure called the hashed Patricia Trie (Kniesburges and Scheideler WALCOM'11) that enables efficient prefix search on a set of keys. The data structure has a wide area of applications including string matching problems while offering low overhead and efficient operations when embedded on top of a distributed hash table. Especially, longest prefix matching for $x$ can be done in $\mathcal{O}(\log |x|)$ hash table read accesses. We show how to maintain the structure in a self-stabilizing way. Our protocol assures low overhead in a legal state and a total (asymptotically optimal) memory demand of $\Theta(d)$ bits, where $d$ is the number of bits needed for storing all keys.



author = {Knollmann, Till and Scheideler, Christian},
title = {A Self-Stabilizing Hashed Patricia Trie},
institution = {},
address = {CoRR /abs/1809.04923},
month = sep,
year = {2018},

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