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Random Linear Network Coding on Programmable Switches
Name
1909.02369.pdf
Description
Submitted version
Size
547.63 KB
Format
Adobe PDF
Checksum (MD5)
373df8aac3af39017aad5755c7d8251b
Date Issued
September 2019
Journal
2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2019
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
2019. "Random Linear Network Coding on Programmable Switches." 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2019.
Version
Original manuscript
Abstract
© 2019 IEEE. 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.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1109/ANCS.2019.8901883
