Lossless Adjustment in Software Defined Survivable Network:A Simulation Study

DOI

10.2991/amms-17.2017.67How to use a DOI?

Keywords

survivable network; software dened networks; network simulation; lossless adjustment

Abstract

As the Internet becomes increasingly important to all aspects of society, it is critical to increase the survivability of the networks. A software-defined network based disruption recovery approach is proposed. It employs a centralized survivable controller to detect damage to network such as link disconnection or node broken, then it recomputed the transmit path of every influencing routing. In the first fastest recovery phase, local recovery routing would be investigated between damaged links and areas; in the second lossless adjustment phase, shortest routing path would be searched to replace local recovery routing in a lossless manner. Simulation experiments were demonstrated and showed that software-defined network based disruption recovery has a more rapidly recovery ability and has low influence on up layer transport protocol.

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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TY  - CONF
AU  - Guoqiang Yan
AU  - Xin Huang
AU  - Jieyong Zhang
PY  - 2017/11
DA  - 2017/11
TI  - Lossless Adjustment in Software Defined Survivable Network:A Simulation Study
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 296
EP  - 299
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.67
DO  - 10.2991/amms-17.2017.67
ID  - Yan2017/11
ER  -