Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Research on Large Data Storage Technology Based on Cloud Computing

Authors
Jianying Wang
Corresponding Author
Jianying Wang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.65How to use a DOI?
Keywords
Large Data, Storage Technology, Cloud Computing
Abstract

In the computer network system, due to the continuous expansion of the application of information storage, the information resources of the network are increasing rapidly. The amount of information transmitted through the network continues to grow and a lot of data storage technology becomes more and more important, which has become the key to enterprise information construction. The paper mainly analyzes the large amount of data storage technology based on cloud computing, and focuses on the cloud storage technology. It has a high reference value for the choice of data storage technology in enterprise information construction.

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 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.65
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.65How 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  - Jianying Wang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Large Data Storage Technology Based on Cloud Computing
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 300
EP  - 303
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.65
DO  - 10.2991/fmsmt-17.2017.65
ID  - Wang2017/04
ER  -