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Parallel Indexing for Past, Current and Future Locations of Moving Objects
2017
DEStech Transactions on Engineering and Technology Research
Facing huge amounts of location and trajectory data of moving objects, although cloud database systems based on Key-Value mechanism could perform better in scalability than traditional spatio-temporal database systems, it could not provide efficient access method to support querying the locations of moving objects in past, current and future. A parallel index method for past, current and future locations of moving objects named PIPCF is proposed. It splits the space into areas and uses
doi:10.12783/dtetr/sste2016/6473
fatcat:gkgmtv56lbggvforgwwh4jfn6e