Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03794892
Contributor : Jérôme François Connect in order to contact the contributor
Submitted on : Monday, October 3, 2022 - 3:52:44 PM
Last modification on : Tuesday, October 25, 2022 - 4:18:31 PM

File

netsfot 2022.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03794892, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

9

Files downloads

2