Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Preliminary Study of Network System Reliability Based on Big Data

Authors
Chao Shen, Hongzhong Deng
Corresponding Author
Chao Shen
Available Online July 2015.
DOI
10.2991/icismme-15.2015.375How to use a DOI?
Keywords
Reliability Big Data; Analysis Process of Reliability Big Data; Reliability Data Application Cases
Abstract

Complex network system has characteristics of numerous units, complex structure, and dynamic changes, which brings many problems for the study of network reliability. However, the big data of network system reliability and big data analysis technology provide more data and thought for supporting traditional reliability research. This paper explores the source, collecting process, preprocessing of the big data of network system reliability and research idea of big data analysis, meanwhile introduces research field to which big data of network system reliability relates at present.

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/).

Download article (PDF)

Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.375
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.375How 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  - Chao Shen
AU  - Hongzhong Deng
PY  - 2015/07
DA  - 2015/07
TI  - Preliminary Study of Network System Reliability Based on Big Data
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1813
EP  - 1819
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.375
DO  - 10.2991/icismme-15.2015.375
ID  - Shen2015/07
ER  -