Title | Network Coding for Critical Infrastructure Networks |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Kumar, Rakesh, Babu, Vignesh, Nicol, David |
Conference Name | 2018 IEEE 26th International Conference on Network Protocols (ICNP) |
Keywords | atomic coding primitives, composability, computer network, computer networks, critical infrastructure, critical infrastructure networks, critical infrastructures, cyber physical systems, Decoding, delays, encoding, intermediate network, linear codes, linear NC functions, linear network coding, network coding, Network topology, P4 ecosystem, Payloads, Predictive Metrics, programmable data-planes, programmable networks, pubcrawl, resilience, Resiliency, software defined networking, store-and-forward paradigm, telecommunication network topology, telecommunication security |
Abstract | 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. |
DOI | 10.1109/ICNP.2018.00061 |
Citation Key | kumar_network_2018 |