TRUSTER: TRajectory data processing on clusters

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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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings
Pages768-771
Number of pages4
DOIs
StatePublished - 2009
Event14th International Conference on Database Systems for Advanced Applications, DASFAA 2009 - Brisbane, QLD, Australia
Duration: 21 Apr 200923 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5463
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Database Systems for Advanced Applications, DASFAA 2009
Country/TerritoryAustralia
CityBrisbane, QLD
Period21/04/0923/04/09

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