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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 177-188
Karine Zeitouni , PRiSM Laboratory, University of Versailles, 45 avenue des Etats-Unis, F-78035, France
Vincent Oria , New Jersey Institute of Technology, Newark, 07079, USA
Dominique Barth , PRiSM Laboratory, University of Versailles, 45 avenue des Etats-Unis, F-78035, France
Iulian Sandu Popa , PRiSM Laboratory, University of Versailles, 45 avenue des Etats-Unis, F-78035, France
ABSTRACT
In this paper we propose PARINET, a new access method to efficiently retrieve the trajectories of objects moving in networks. The structure of PARINET is based on a combination of graph partitioning and a set of composite B<sup>+</sup>-tree local indexes. PARINET is designed for historical data and relies on the distribution of the data over the network as for historical data, the data distribution is known in advance. Because the network can be modeled using graphs, the partitioning of the trajectory data is based on graph partitioning theory and can be tuned for a given query load. The data in each partition is indexed on the time component using B<sup>+</sup>-trees. We study different types of queries, and provide an optimal configuration for several scenarios. PARINET can easily be integrated into any RDBMS, which is an essential asset particularly for industrial or commercial applications. The experimental evaluation under an off-the-shelf DBMS shows that PARINET is robust. It also significantly outperforms both MON-tree and another R-tree based access method which are the reference indexing techniques for in-network trajectory databases.
CITATION
Karine Zeitouni, Vincent Oria, Dominique Barth, Iulian Sandu Popa, "PARINET: A tunable access method for in-network trajectories", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 177-188, doi:10.1109/ICDE.2010.5447885
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