Title :
Robust B+-Tree-Based Indexing of Moving Objects
Author :
Jensen, Christian S. ; Tielsytye, D. ; Tradilauskas, N.
Author_Institution :
Aalborg University, Denmark
Abstract :
With the emergence of an infrastructure that enables the geo-positioning of on-line, mobile users, the management of so-called moving objects has emerged as an active area of research. Among the indexing techniques for efficiently answering predictive queries on moving-object positions, the recent Bx-tree is based on the B+-tree and is relatively easy to integrate into an existing DBMS. However, the Bx-tree is sensitive to data skew. This paper proposes a new query processing algorithm for the B^x-tree that fully exploits the available data statistics to reduce the query enlargement that is needed to guarantee perfect recall, thus significantly improving robustness. The new technique is empirically evaluated and compared with four other approaches and with the TPR-tree, a competitor that is based on the R*-tree. The results indicate that the new index is indeed more robust than its predecessor-it significantly reduces the number of I/O operations per query for the workloads considered. In many settings, the TPR-tree is outperformed as well.
Keywords :
Computer science; Concurrency control; Disaster management; Indexing; Mobile computing; Query processing; Robustness; Spatial indexes; Statistics;
Conference_Titel :
Mobile Data Management, 2006. MDM 2006. 7th International Conference on
Print_ISBN :
0-7695-2526-1
DOI :
10.1109/MDM.2006.135