Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Innovation Model Analysis of Data Flow Calculation and Storage Technology based on Cloud Computing

Authors
Hongsheng Xu, Ke Li, Ganglong Fan
Corresponding Author
Hongsheng Xu
Available Online October 2017.
DOI
https://doi.org/10.2991/meici-17.2017.8How to use a DOI?
Keywords
Cloud computing; Data flow calculation; Big data storage; Cloud storage; Data mining
Abstract

Common forms of cloud storage can be divided into distributed file systems and distributed database. Among them, the distributed file system uses large-scale distributed storage nodes to meet the demand of large files stored. The paper describes big data acquisition and processing key technology based on data mining. Big data is divided into offline batch calculation, real-time interaction and flow calculation. The paper presents innovation model analysis of data flow calculation and storage technology based on cloud computing.

Copyright
© 2017, 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 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
10.2991/meici-17.2017.8
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-17.2017.8How to use a DOI?
Copyright
© 2017, 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  - Hongsheng Xu
AU  - Ke Li
AU  - Ganglong Fan
PY  - 2017/10
DA  - 2017/10
TI  - Innovation Model Analysis of Data Flow Calculation and Storage Technology based on Cloud Computing
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 33
EP  - 37
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.8
DO  - https://doi.org/10.2991/meici-17.2017.8
ID  - Xu2017/10
ER  -