TY - GEN
T1 - Availability Modelling of Software-Defined Backbone Networks
AU - Nencioni, Gianfranco
AU - Helvik, Bjarne E.
AU - Gonzalez, Andres J.
AU - Heegaard, Poul E.
AU - Kamisiński, Andrzej
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/22
Y1 - 2016/9/22
N2 - Software-Defined Networking (SDN) promises to improve the programmability and flexibility of networks, but it may also bring new challenges that need to be explored. The main objective of this paper is to present a quantitative assessment of the properties of SDN backbone networks to determine whether they can provide similar availability to the traditional IP backbone networks. To achieve this goal, we have completed the following steps: i) we formalized a two-level availability model that is able to capture the global network connectivity without neglecting the essential details: ii) we proposed Markov models for characterizing the single network elements in both SDN and traditional networks: iii) we carried out an extensive sensitivity analysis of a-national and a-world-wide backbone networks. The results have highlighted the considerable impact of operational and management (O&M) failures on the overall availability of SDN. High O&M failure intensity may reduce the availability of SDN as much as one order of magnitude compared to traditional networks. Moreover, the results show that the impact of software and hardware failures on the overall availability of SDN can be significantly reduced through proper overprovisioning of the SDN controller(s).
AB - Software-Defined Networking (SDN) promises to improve the programmability and flexibility of networks, but it may also bring new challenges that need to be explored. The main objective of this paper is to present a quantitative assessment of the properties of SDN backbone networks to determine whether they can provide similar availability to the traditional IP backbone networks. To achieve this goal, we have completed the following steps: i) we formalized a two-level availability model that is able to capture the global network connectivity without neglecting the essential details: ii) we proposed Markov models for characterizing the single network elements in both SDN and traditional networks: iii) we carried out an extensive sensitivity analysis of a-national and a-world-wide backbone networks. The results have highlighted the considerable impact of operational and management (O&M) failures on the overall availability of SDN. High O&M failure intensity may reduce the availability of SDN as much as one order of magnitude compared to traditional networks. Moreover, the results show that the impact of software and hardware failures on the overall availability of SDN can be significantly reduced through proper overprovisioning of the SDN controller(s).
UR - http://www.scopus.com/inward/record.url?scp=84994552727&partnerID=8YFLogxK
U2 - 10.1109/DSN-W.2016.28
DO - 10.1109/DSN-W.2016.28
M3 - Conference contribution
AN - SCOPUS:84994552727
T3 - Proceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016
SP - 105
EP - 112
BT - Proceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN-W 2016
Y2 - 28 June 2016 through 1 July 2016
ER -