A Hybrid MPI+OpenMP Application for Processing Big Trajectory Data
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 interest, and further aggregat...
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| Vydané v: | Studies in Informatics and Control Ročník 24; číslo 2; s. 229 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Bucharest
National Institute for Research and Development in Informatics
2015
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| ISSN: | 1220-1766, 1841-429X |
| On-line prístup: | Získať plný text |
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| Shrnutí: | 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 interest, 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. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1220-1766 1841-429X |
| DOI: | 10.24846/v24i2y201511 |