Big Spatial Data Management for the Internet of Things: A Survey

被引:17
作者
Al Jawarneh, Isam Mashhour [1 ]
Bellavista, Paolo [1 ]
Corradi, Antonio [1 ]
Foschini, Luca [1 ]
Montanari, Rebecca [1 ]
机构
[1] Univ Bologna, Dept Comp Sci & Engn DISI, Viale Risorgimento 2, I-40136 Bologna, Italy
关键词
Spatial data; Spark; Hadoop; HBase; MongoDB; Spatial partitioning; Internet of Things; Query optimizers; FRAMEWORK; EFFICIENT; ALGORITHM; TREE;
D O I
10.1007/s10922-020-09549-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The high abundance of IoT devices have caused an unprecedented accumulation of avalanches of geo-referenced IoT spatial data that if could be analyzed correctly would unleash important information. This can feed decision support systems for better decision making and strategic planning regarding important aspects of our lives that depend heavily on location-based services. Several spatial data management systems for IoT data in Cloud has recently gained momentum. However, the literature is still missing a comprehensive survey that conceptualize a convenient framework that classify those frameworks under appropriate categories. In this survey paper, we focus on the management of big geospatial data that are generated by IoT data sources. We also define a conceptual framework and match the works of the recent literature with it. We then identify future research frontiers in the field depending on the surveyed works.
引用
收藏
页码:990 / 1035
页数:46
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