In this paper, we present the use of parallel/distributed programming frameworks, MPI and OpenMP, in processing and analysis of big trajectory data. We developed a distributed application that initially performs a spatial join between big trajectory data and regions of nterest, and further aggregates join results to provide analysis of movement. The solution was implemented using hybrid distributed/parallel programming model, based on MPI and OpenMP programming interfaces. The experimental evaluation in detecting the most popular places in the city, based on large-scale trajectory dataset, demonstrates the performance gains and feasibility of our approach.
High performance computing, Big data processing, Geospatial analysis, MPI, OpenMP.
Natalija STOJANOVIC, Dragan STOJANOVIC, "A Hybrid MPI+OpenMP Application for Processing Big Trajectory Data", Studies in Informatics and Control, ISSN 1220-1766, vol. 24(2), pp. 229-236, 2015. https://doi.org/10.24846/v24i2y201511
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