DocumentCode
569662
Title
Massive sensor data management framework in Cloud manufacturing based on Hadoop
Author
Bao, Yuan ; Ren, Lei ; Zhang, Lin ; Zhang, Xuesong ; Luo, Yongliang
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear
2012
fDate
25-27 July 2012
Firstpage
397
Lastpage
401
Abstract
Cloud Manufacturing provides a new concept and model for manufacturing informatization, which has become a hot research topic in modern networked manufacturing area. Cloud manufacturing systems generate huge amounts of sensor data from distributed manufacturing devices, and how to manage them efficiently becomes one of the main challenges of Cloud Manufacturing. Various software frameworks have been developed in Cloud Computing to handle massive data management, and the Hadoop framework has proved an effective solution. In this paper we introduce Hadoop to deal with the sensor data management in Cloud manufacturing systems. First we analyze the requirement of massive sensor data management in Cloud Manufacturing and the defects of traditional RDBMS (Relational Database Management System), and then present a framework supporting parallel storage and processing of massive sensor data in Cloud manufacturing systems based on Hadoop. This framework can provide a promising solution for massive sensor data management in Cloud Manufacturing.
Keywords
cloud computing; information management; manufacturing systems; parallel processing; production engineering computing; sensor fusion; storage allocation; CMfg; Hadoop framework; cloud manufacturing systems; data processing; distributed manufacturing devices; massive sensor data management framework; networked manufacturing area; parallel storage; software frameworks; Cloud computing; Computational modeling; Data models; Data processing; Distributed databases; Manufacturing systems; Cloud Computing; Cloud Manufaturing; Hadoop Framework; Massive Data Management;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-0312-5
Type
conf
DOI
10.1109/INDIN.2012.6301192
Filename
6301192
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