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

Analysis and Optimization of Parallel Features on Simulation of Self-similar Network Traffic

Authors
Sai Sui, Jing Du, Yancang Chen, Pei Wei
Corresponding Author
Sai Sui
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.271How to use a DOI?
Keywords
Self-Similar; Traffic Simulation; Parallel
Abstract

Cyberspace security is an important aspect of national security strategy, and cyberspace experiment needs to construct a realistic test environment. In addition to hardware, software and basic service, the network traffic simulation is also an important aspect of test environment construction. This paper focuses on the requirements of constructing a large-scale network test environment, studies the key elements of network traffic simulation, and the parallelism characteristics are analyzed and optimized.

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-17.2017.271
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.271How 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  - Sai Sui
AU  - Jing Du
AU  - Yancang Chen
AU  - Pei Wei
PY  - 2017/04
DA  - 2017/04
TI  - Analysis and Optimization of Parallel Features on Simulation of Self-similar Network Traffic
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1395
EP  - 1400
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.271
DO  - 10.2991/fmsmt-17.2017.271
ID  - Sui2017/04
ER  -