TY - GEN
T1 - Network Coding for Critical Infrastructure Networks
AU - Kumar, Rakesh
AU - Babu, Vignesh
AU - Nicol, David M.
N1 - Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/11/7
Y1 - 2018/11/7
N2 - The applications in the critical infrastructure systems pose simultaneous resilience and performance requirements to the underlying computer network. To meet such requirements, the networks that use the store-and-forward paradigm poses stringent conditions on the redundancy in the network topology and results in problems that becoming computationally challenging to solve at scale. However, with the advent of programmable data-planes, it is now possible to use linear network coding (NC) at the intermediate network nodes to meet resilience requirements of the applications. To that end, we propose an architecture that realizes linear NC in programmable networks by decomposing the linear NC functions into the atomic coding primitives. We designed and implemented the primitives using the features offered by the P4 ecosystem. Using an empirical evaluation, we show that the theoretical gains promised by linear network coding can be realized with a per-packet processing cost.
AB - The applications in the critical infrastructure systems pose simultaneous resilience and performance requirements to the underlying computer network. To meet such requirements, the networks that use the store-and-forward paradigm poses stringent conditions on the redundancy in the network topology and results in problems that becoming computationally challenging to solve at scale. However, with the advent of programmable data-planes, it is now possible to use linear network coding (NC) at the intermediate network nodes to meet resilience requirements of the applications. To that end, we propose an architecture that realizes linear NC in programmable networks by decomposing the linear NC functions into the atomic coding primitives. We designed and implemented the primitives using the features offered by the P4 ecosystem. Using an empirical evaluation, we show that the theoretical gains promised by linear network coding can be realized with a per-packet processing cost.
KW - Network Coding
KW - Resilience
KW - Software Defined Networking
UR - http://www.scopus.com/inward/record.url?scp=85058105699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058105699&partnerID=8YFLogxK
U2 - 10.1109/ICNP.2018.00061
DO - 10.1109/ICNP.2018.00061
M3 - Conference contribution
AN - SCOPUS:85058105699
T3 - Proceedings - International Conference on Network Protocols, ICNP
SP - 436
EP - 437
BT - Proceedings - 26th IEEE International Conference on Network Protocols, ICNP 2018
PB - IEEE Computer Society
T2 - 26th IEEE International Conference on Network Protocols, ICNP 2018
Y2 - 24 September 2018 through 27 September 2018
ER -