In this paper, we present Pampoo, a novel distributed framework for efficient query processing in P2P systems. We propose
a new locality preserving data structure Skip-trie as its substrate. Skip-trie incorporates the advantages of skip graph with
features of traditional trie. Thus, Pampoo can efficiently support various types of queries such as range queries and k nearest
neighbor queries. We study the time cost of search and update operations on Skip-trie structure under our Pampoo framework.
We further briefly present a repairing strategy to boost the robustness of Pampoo system. Extensive experiments are conducted
to verify the effectiveness and efficiency of our approach.
Supported by the National Natural Science Foundation of China (60673139, 60473073, 60573090).