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The VLDB Journal — The International Journal on Very Large Data Bases
The Art of Multiprocessor Programming
The Art of Multiprocessor Programming
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An analytic solution to the alibi query in the space-time prisms model for moving object data
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ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
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Computing with Spatial Trajectories
Load balancing for processing spatio-temporal queries in multi-core settings
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A survey of skyline processing in highly distributed environments
The VLDB Journal — The International Journal on Very Large Data Bases
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This work considers the impact of different contexts when attempting to exploit parallelization approaches for processing continuous spatio-temporal queries. More specifically, we are interested in various trade-off aspects that may arise due to differences of the computing environments like, for example, multicore vs. cloud. Algorithmic solutions for parallel processing of spatio-temporal queries cater to splitting the load among units - be it based on the data or the query (or both) - relying to a bigger or lesser degree on a certain set of features of a given environment. We postulate that incorporating the service-features should be coupled with the algorithms/heuristics for processing particular queries, in addition to the volume of the data. We present the current version of the implementation of our P2EST system and analyze the execution of different heuristics for parallel processing of spatio-temporal range queries.