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NetREC: Network-wide in-network REal-value Computation

Matthews Jose 1, 2 Kahina Lazri 2 Jérôme François 1 Olivier Festor 1 
1 RESIST - Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : The current generation of networks empowers the use of programmable switches whose behaviour can be defined using languages like P4. Nevertheless, these languages do not support network-wide deployment of stateful real-value functions. This paper presents NetREC, an extension of RMT programmable data planes designed to enable stateful real-value functions computation across multiple switches. NetREC first decomposes the real-value functions into a dependency graph of elementary operations that are distributed among the network. This distribution is carried out by dynamically generating and solving an integer linear program. We deploy a prototype of NetREC on a network of Tofino switches and demonstrate its capability of computing recursive real-value functions like exponential weighted moving average.
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Submitted on : Monday, October 3, 2022 - 3:52:44 PM
Last modification on : Tuesday, October 25, 2022 - 4:18:31 PM


netsfot 2022.pdf
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  • HAL Id : hal-03794892, version 1



Matthews Jose, Kahina Lazri, Jérôme François, Olivier Festor. NetREC: Network-wide in-network REal-value Computation. IEEE NetSoft 2022 - 8th IEEE International Conference on Network Softwarization, Jun 2022, Milan, Italy. ⟨hal-03794892⟩



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