Parallel Insertion and Indexing Method for Large Amount of Spatiotemporal Data Using Dynamic Multilevel Grid Technique
Keyword(s):
In this paper, we propose a method to ingest big spatiotemporal data using a parallel technique in a cluster environment. The proposed method includes an indexing method for effective retrieval in addition to the parallel ingestion method of spatiotemporal data. In this paper, a dynamic multilevel grid index scheme is proposed to maximize parallelism and to adapt to the skewed spatiotemporal data. Finally, through experiments in a cluster environment, it is shown that the ingestion and query throughput increase as the number of nodes increases.
2014 ◽
Vol E97.B
(10)
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pp. 2127-2135
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2008 ◽
Vol 19
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pp. 2696-2705
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2009 ◽
Vol 31
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pp. 998-1012
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Keyword(s):
2009 ◽
Vol 28
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pp. 3251-3253
2020 ◽
Vol 76
(2)
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pp. I_313-I_318