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
Link To Document :
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