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</script>handle: 1721.1/137687.2
By extending the traditional store-and-forward mechanism, network coding has the capability to improve a network's throughput, robustness, and security. Given the fundamentally different packet processing required by this new paradigm and the inflexibility of hardware, existing solutions are based on software. As a result, they have limited performance and scalability, creating a barrier to its wide-spread adoption. By leveraging the recent advances in programmable networking hardware, in this paper we propose a random linear network coding data plane written in P4, as a first step towards a production-level platform. Our solution includes the ability to combine the payload of multiple packets and of executing the required Galois field operations, and shows promise to be practical even under the strict memory and processing constraints of switching hardware.
6 pages, 4 figures
Computer Science - Networking and Internet Architecture, C.2.3, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, C.2.2, C.2.1, C.2.1; C.2.2; C.2.3
Computer Science - Networking and Internet Architecture, C.2.3, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, C.2.2, C.2.1, C.2.1; C.2.2; C.2.3
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average | 
