Title :
Multi-dimensional range query for data management using bloom filters
Author :
Hua, Yu ; Feng, Dan ; Xie, Ting
Author_Institution :
Sch. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
Providing range query as basic network services has received much research attention recently. Range query can exhibit all items located within a certain range. Previous approaches to represent and query items, such as distributed hash tables (DHT) or R-tree structures, use too much storage space to store and maintain items to achieve exact query results. Corresponding structures cannot effectively support operations on items that have multi-dimensional attributes. In this paper, we propose a simple and space-efficient structure, i.e., multi-dimensional segment bloom filter (MDSBF), to support range query for data management. Our approach logically divides the range of multi-dimensional attributes into several segments to support fast and accurate lookups. We also develop a simple algorithm to achieve load balance among multiple segments and improve query accuracy. Through theoretical analysis and performance evaluation, we demonstrate that the MDSBF structure can efficiently support range query service for items with multi-dimensional attributes.
Keywords :
query processing; tree data structures; R-tree structures; bloom filters; data management; distributed hash tables; multidimensional range query; range query; Computer network management; Computer networks; Computer science; Information filtering; Information filters; Multidimensional systems; Peer to peer computing; Performance analysis; Scalability; Technology management;
Conference_Titel :
Cluster Computing, 2007 IEEE International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-1387-4
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2007.4629260