DocumentCode :
2892920
Title :
Multi-dimensional Queries in DHT-Based Peer-to-Peer Systems
Author :
Shen, Xinpeng ; Li, Zhanhuai
Author_Institution :
Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
60
Lastpage :
65
Abstract :
Supporting relational query processing in P2P data management systems needs multi-dimensional exact match queries processing and multi-dimensional range queries processing. The paper proposes a method for using a DHT-based P2P system to support multi-dimensional data while allowing range queries. The proposed system used a two-layered architecture, one for resource sharing and another for resource finding, so as to facilitate multi-dimensional query processing. The approach depends on using an order-preserving hash function and a relatively small number of P2P nodes to store data. Data is assigned to nodes by reducing its dimensionality to just one dimension, and is then mapped onto the P2P nodes, which are spread along the range of values of the one-dimensional data. After that, a multi-dimensional query algorithm (including to exact match query and range query) based on this strategy are proposed. At last, the paper offered experimental evidence to support the approach.
Keywords :
file organisation; peer-to-peer computing; query processing; DHT-based P2P system; DHT-based peer-to-peer systems; P2P nodes; data management system; multidimensional data; multidimensional exact match queries processing; multidimensional query algorithm; multidimensional range query processing; order-preserving hash function; resource finding; resource sharing; Clustering algorithms; Computer science; Data engineering; Engineering management; Load management; Peer to peer computing; Query processing; Resource management; Routing; Tree data structures; data management; peer-to-peer; range query;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-0-7695-3810-5
Type :
conf
DOI :
10.1109/SKG.2009.31
Filename :
5368040
Link To Document :
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