Hierarchical multidimensional search in peer-to-peer networks

被引:15
|
作者
Tran, D. A. [1 ]
Nguyen, T. [2 ]
机构
[1] Univ Massachusetts, Dept Comp Sci, Boston, MA 02125 USA
[2] Oregon State Univ, Sch EECS, Corvallis, OR 97331 USA
基金
美国国家科学基金会;
关键词
peer-to-peer networks; information retrieval; similarity search;
D O I
10.1016/j.comcom.2007.08.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We propose a P2P search solution, called EZSearch, that enables efficient multidimensional search for remotely located contents that best match the search criteria. EZSearch is a hierarchical approach; it organizes the network into a hierarchy in a way fundamentally different from existing search techniques. EZSearch is based on Zigzag, a P2P overlay architecture known for its scalability and robustness under network growth and dynamics. The indexing architecture of EZSearch is built on top of the Zigzag hierarchy, that allows both k-nearest-neighbor and range queries to be answered with low search overhead and worst-case search time logarithmic with the network size. The indices are fairly distributed over a small number of nodes at a modest cost for index storage and update. The performance results of EZSearch drawn from our performance study are encouraging. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:346 / 357
页数:12
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