干旱区生态环境知识资源中心(Arid): Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data

Arid

DOI	10.1109/ACCESS.2020.3034466
	Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data
	Wu, Adan; Guo, Jianwen; Yang, Pengfei
通讯作者	Guo, JW
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2020
卷号	8 页码:195385-195397
英文摘要	The rapid development of Internet of Things (IoT) technology and the widespread deployment of various sensors around the world have produced a large number of data streams. Thus, current computing systems face the challenge of quickly receiving and managing these large-scale streaming data. This study builds an efficient distributed database based on Greenplum (GP) and focuses on solving the problem of the low efficiency of structured data queries for observed ecological data collected from fragile areas in Northwest Chinas desert oasis. First, a distributed database is designed and deployed at the physical storage structure level. A database table structure is then established based on the characteristics of the streaming data. On this basis, the data storage strategy is optimized at the data table level. Additionally, the query efficiency of the distributed database is compared with the query efficiency of traditional standalone databases. The results show that the distributed database significantly improves the data query efficiency. The greater the amount of data stored, the better the improvement in efficiency. Finally, based on the optimized distributed database, we develop a data sharing system for streaming data from ecologically fragile areas in the desert oasis in Northwest China, which provides a new approach for the efficient sharing of massive amounts of IoT streaming data for ecological monitoring. Our storage system is still currently working normally, which is highly important to both data managers and users.
英文关键词	Distributed databases Monitoring Internet of Things Optimization Big Data Ecosystems Ecological monitoring IoT greenplum performance optimization data sharing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000587844900001
WOS关键词	INTERNET ; THINGS ; OPPORTUNITIES ; ALGORITHMS ; CHALLENGES ; FUTURE
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327423
作者单位	[Wu, Adan; Guo, Jianwen; Yang, Pengfei] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; [Wu, Adan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Yang, Pengfei] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730030, Peoples R China
推荐引用方式 GB/T 7714	Wu, Adan,Guo, Jianwen,Yang, Pengfei. Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data[J],2020,8:195385-195397.
APA	Wu, Adan,Guo, Jianwen,&Yang, Pengfei.(2020).Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data.IEEE ACCESS,8,195385-195397.
MLA	Wu, Adan,et al."Research on Data Sharing Architecture for Ecological Monitoring Using Iot Streaming Data".IEEE ACCESS 8(2020):195385-195397.