Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Computer Network Reliability Analysis based on Intelligent Computing

Authors
Xingyu Luo
Corresponding Author
Xingyu Luo
Available Online January 2016.
DOI
10.2991/emcs-16.2016.176How to use a DOI?
Keywords
Intelligent computing; Computer network; Reliability
Abstract

In recent years, with the changes of the times and the continuous development of the society, the development of information technology is also showing a rapid development. The emergence and development of information technology has greatly changed people's living habits and behavior patterns, in people's daily life, study and work play an irreplaceable role. The modern society is developing in the direction of the network, the new era, with the popularization of computer network, people have more and more high reliability requirements, which is always the research hotspot in computer field. Based on this, this paper makes a deep analysis on the reliability of the computer network based on Intelligent Computing.

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/).

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Volume Title
Proceedings of the 2016 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-158-2
ISSN
2352-538X
DOI
10.2991/emcs-16.2016.176How 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  - Xingyu Luo
PY  - 2016/01
DA  - 2016/01
TI  - Computer Network Reliability Analysis based on Intelligent Computing
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 725
EP  - 727
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.176
DO  - 10.2991/emcs-16.2016.176
ID  - Luo2016/01
ER  -