Management of Big Data in the Internet of Things in Agriculture Based on Cloud Computing

Abstract:

Internet of Things (IoT) is playing a more and more important role in modern agriculture development. However, problems of efficient storing and reasoning those massive heterogeneous sensor data collected from variety kinds of sensing equipment need to be resolved to implement Internet of Things in agriculture. This paper explores the architecture of Internet of Things in agriculture with heterogeneous sensor data, and proposes a design of implementation to Internet of Things in agriculture based on cloud computing. The design is based on two-tier storage structure of HBase, which is a distributed database with high scalability. It access database using MapReduce model, a distributed programming framework. Hence, this design provides scalable storage, efficient data access, and eases other processing of sensor data.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1438-1444
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1438
• Online since: April 2014
• Authors: Hui Zhe Wang, Guo Wen Lin, Jian Qin Wang*, Wan Lin Gao, Yi Fei Chen, Qing Ling Duan
• Keywords: HBase, Heterogeneous Sensor Data, Internet of Things in Agriculture, MapReduce

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