TRUSTER: TRajectory Data Processing on ClUSTERs

Authors:
Bin Yang;Qiang Ma;Weining Qian;Aoying Zhou
Affiliations:
School of Computer Science, Fudan University, Shanghai, China;School of Computer Science, Fudan University, Shanghai, China;Institute of Massive Computing, East China Normal University, Shanghai, China;Institute of Massive Computing, East China Normal University, Shanghai, China
Venue:
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Year:
2009

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Abstract

With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techniques on such large trajectory data sets are urgently needed. We propose TRUSTER: a distributed trajectory data processing system on clusters. TRUSTER employs a distributed indexing method on large scale trajectory data sets, and it makes spatio-temporal queries execute efficiently on clusters.