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

Fast Failure Recovery in Software-Defined Networks

Authors
Gang-Song Dong, Jing Shen, Li-Qian Sun
Corresponding Author
Gang-Song Dong
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.307How to use a DOI?
Keywords
fast failure recovery; SDN; active; reactive.
Abstract

In Software defined networks (SDN), the control plane and the data plane are separated. One or more controllers can program a router or switch directly. In an in-band SDN network, the control flow (flow to or out of the controller) and the data stream share a transmission path. Thus, when the fault occurs on the path of the data stream, both the control flow and the data stream are affected. In order to achieve the operator's transmission quality requirements, the network should be able to recover within 50ms. This paper studies the fast fault recovery mechanism in SDN networks. For the control flow and data flow, we have studied the corresponding response and active recovery mechanism, and carried out the simulation experiment. The simulation results show that the reactive recovery mechanism can't guarantee the failure to recover within 50ms, and the response mechanism of the control plane can cause the delay of data plane fault recovery. The simulation results also show that active recovery of control flow and data flow can meet the requirements of operator network recovery, even in large-scale networks with more traffic.

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-17.2017.307
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.307How 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  - Gang-Song Dong
AU  - Jing Shen
AU  - Li-Qian Sun
PY  - 2017/04
DA  - 2017/04
TI  - Fast Failure Recovery in Software-Defined Networks
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1579
EP  - 1582
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.307
DO  - 10.2991/fmsmt-17.2017.307
ID  - Dong2017/04
ER  -