Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications

Framework and key technologies for big data based on manufacturing

Authors
Shan Ren, Xin Zhao
Corresponding Author
Shan Ren
Available Online August 2015.
DOI
https://doi.org/10.2991/meita-15.2015.70How to use a DOI?
Keywords
manufacturing, big data, framework, key technologies
Abstract

Data type and amount in human society is growing in amazing speed which is caused by emerging new services such as cloud computing, internet of things (IoT) and social network, the era of big data has come. Data is a fundamental resource from simple dealing object. In order to fully understand the connotation of big data, this paper expounds the conception of big data, combines with the application requirements of manufacturing big data, the five layer stack type big data processing framework is proposed, and the key technologies of manufacturing big data applications are discussed and analyzed.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-103-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/meita-15.2015.70How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shan Ren
AU  - Xin Zhao
PY  - 2015/08
DA  - 2015/08
TI  - Framework and key technologies for big data based on manufacturing
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 380
EP  - 384
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.70
DO  - https://doi.org/10.2991/meita-15.2015.70
ID  - Ren2015/08
ER  -