Processing (Multiple) Spatio-temporal Range Queries in Multicore Settings

  • Goce Trajcevski
  • Anan Yaagoub
  • Peter Scheuermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6909)

Abstract

Research in Moving Objects Databases (MOD) has addressed various aspects of storing and querying trajectories of moving objects: from modelling, through linguistic constructs and formalisms/ algebras, to indexing structures and efficient processing of different query-categories have been subjects to a large body of works. Given the architectural trends of multicore CPUs becoming a commonplace, in this work we focus on efficient processing of spatio-temporal range queries in such settings. We postulate that coupling the semantics of the problem domain into the query processing algorithms in a manner that is aware of the multicore features, can yield performance improvements that surpass the gains obtained by relying solely on the compiler-generated threads parallelization. Towards that end, we present and evaluate heuristics for processing variants spatio-temporal range queries in multicore settings by partitioning the load (i.e., data set) and assigning partial tasks to the individual cores. Our experiments demonstrate that 5-fold speed-ups can be achieved, when compared to the (semi) naive approach which relies on the compiler to generate the multicore-compatible code.

Keywords

Query Processing Range Query Continuous Query Multicore Setting Query Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Goce Trajcevski
    • 1
  • Anan Yaagoub
    • 1
  • Peter Scheuermann
    • 1
  1. 1.Dept. of Electrical Engineering and Computer ScienceNorthwestern UniversityEvanstonUSA

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