TRUSTER: TRajectory Data Processing on ClUSTERs

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.

• Type: Conference
• Year: 2009
• Where: DASFAA
• Authors: Bin Yang 0002, Qiang Ma, Weining Qian, Aoying Zhou
• Keywords: DASFAA 2009, Database, Large Trajectory Data, Trajectory Data, Trajectory Data Sets