DocumentCode :
1789769
Title :
A framework for management of massive knowledge in cloud environment
Author :
Chaoshi Wang ; Chun Zhao ; Lin Zhang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
843
Lastpage :
847
Abstract :
The word “Cloud” has become more and more popular these days. One of its applications, Cloud for manufacturing, is also proposed as we called Cloud Manufacturing. It is realized by setup a public service cloud platform which shares manufacturing resources and knowledge. As the big data era comes, the amount of both resources and knowledge in the platform may increase much more rapidly than ever before. Thus, new ways to collect and analyze knowledge and other resources should be found to guarantee the efficiency of the whole platform. In this paper, a framework for collecting, storing and analyzing massive knowledge in cloud environment is proposed. It gives different ways to collect knowledge, and how to store and analyze massive knowledge with distributed system.
Keywords :
Big Data; cloud computing; knowledge management; manufacturing industries; resource allocation; Big Data; cloud environment; cloud manufacturing; distributed system; manufacturing knowledge sharing; manufacturing resource sharing; massive knowledge management; massive-knowledge analysis; massive-knowledge collection; massive-knowledge storage; public service cloud platform; resource analysis; resource collection; Big data; Computational modeling; Data models; Educational institutions; Manufacturing processes; Materials; big data; cloud environment; distributed system; knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
Type :
conf
DOI :
10.1109/BMEI.2014.7002889
Filename :
7002889
Link To Document :
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