Application and Implementation of Private Cloud in Agriculture Sensory Data Platform
With the explosive development of the Internet of things technology in recent years, the Internet of things technology is also used more and more widely in modern agricultural production. For mass sensor data was produced by the Internet of things in agri
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Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China 2 National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China {jiangsw,chente,dongj}@nercita.org.cn 3 Key Laboratory of Agri-Infomatics, Ministry of Argiculture, Beijing 100097, China Beijing Engineering Research Center of Argicultural Internet of Things, Beijing 100097, China
Abstract. With the explosive development of the Internet of things technology in recent years, the Internet of things technology is also used more and more widely in modern agricultural production. For mass sensor data was produced by the Internet of things in agricultural production, While big data bring many bene‐ fits and unprecedented challenges to users. The Internet of things in agriculture production produces some complexity problem which are mass sensor data’s Scale, sensor data’s heterogeneity and mass sensor data’s operation, distribution of sensor, high concurrency of data is written etc. In the presence of these prob‐ lems, this paper put forward a kind solution of agricultural private cloud sensor data Platform, which is named “Sensor PrivateClouds Platform” (SPCP). The Private cloud platform including following modules, All of these are distributed sensor data caching module based on cluster of memercached and Nginx load (SensorCache); heterogeneous data adapter of sensor module (SensorAdpter), distributed computing storage module based on hadoop’ HDFS (SensorStorage), efficient query module of sensor data warehouse based on the Hive (SensorStore), management module of sensor metadata (SensorManager), parallel sensor data analysis module (SensorNum) based on the map-reduce of the hadoop, cloud service of sensor data module (SensorPublish) based on webservice. The exper‐ imental results show that SPCP have had the abilities which are mass sensor data storage, cleaning of heterogeneous sensor data, real-time query and processing of mass sensor data. These abilities provides a feasible solution for the hetero‐ geneous data storage and mass sensor data’s query in the Internet of things of agriculture production. Keywords: Internet of things · Private cloud · Big data · Hadoop · HDFS
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Introduction
For improving the efficiency of agricultural production, the Internet of things technology also has been widely used in modern agriculture, its main purpose is to collect plenty of sensor data in agricultural production, through the analysis of the sensor data for the © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing AG 2016. All Rights Reserved D. Li and Z. Li (Eds.): CCTA 2015, Part II, IFIP AICT 479, pp. 60–67, 2016. DOI: 10.1007/978-3-319-48354-2_6
Application and Implementation of Private Cloud
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agricultural production and utilization to further improve the efficiency of agricultural production. However, in the face of characteristic that are wide area of the production, poor environmental conditions, weak signal of communications in agri
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