Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Challenges of Big Data based Cyber-Physical System

Authors
Wei Zhong, LiChen Zhang
Corresponding Author
Wei Zhong
Available Online May 2016.
DOI
10.2991/wartia-16.2016.82How to use a DOI?
Keywords
CPS,Big Data ,Modeling.
Abstract

With the development of science and technology, What we need in Cyber-Physical System CPS have became more and more complicated Because the system seem more vast more sensors,and need to be more intelligent , the data and information be collectted, stored, processed also need even more. So big data were used to rapidly processing and storage for huge amounts of data in the CPS.However, there are many differences between big data and CPS. The combination of these two systems have different with general systems Such as time and space model , data flow, modeling and so on.The paper will systematically elaborate the challenges and of the CPS besed on big data be faced and illustrate the characteristics of its modeling demand.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.82How to use a DOI?
Copyright
© 2016, 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  - Wei Zhong
AU  - LiChen Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Challenges of Big Data based Cyber-Physical System
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 415
EP  - 418
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.82
DO  - 10.2991/wartia-16.2016.82
ID  - Zhong2016/05
ER  -