| Full text | |
| Author(s): |
Luizelli, Marcelo C.
[1]
;
Canofre, Ronaldo
[1]
;
Lorenzon, Arthur F.
[1]
;
Rossi, Fabio D.
[1]
;
Cordeiro, Weverton
[2]
;
Caicedo, Oscar M.
[3]
Total Authors: 6
|
| Affiliation: | [1] Fed Univ Pampa UNIPAMPA, Bage - Brazil
[2] Fed Univ Rio Grande UFRGS, Porto Alegre, RS - Brazil
[3] Univ Cauca, Popayan - Colombia
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | IEEE NETWORK; v. 35, n. 6, p. 68-74, NOV-DEC 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
The quest for self-driving networks poses growing pressure to manage network events at a nano-second scale. In this article, we make a case for leveraging programmable forwarding planes to achieve self-driving networks and respond to their dynamism in real time by in-network intelligence and without performing traffic steering/mirroring to centralized management solutions (intelligent or not). We briefly cover throughout the article preliminary ideas in the in-network neural networks field and discuss the technical challenges of running machine learning techniques entirely in the forwarding plane. We also highlight potential use cases of having an autonomous intelligent network capable of self-adapting to dynamic network behavior changes with minimal to no human intervention, including smart network telemetry, smart traffic engineering, real-time flow classification, and network tomography. We close with a roadmap of research opportunities enabled by distributed in-network intelligence in programma-ble forwarding planes. (AU) | |
| FAPESP's process: | 20/05183-0 - SkyNet: towards smart data planes |
| Grantee: | Luciano Paschoal Gaspary |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/23092-1 - Telemetry orchestration in programmable data planes |
| Grantee: | Marcelo Caggiani Luizelli |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 20/05115-4 - Probing planning for In-band network telemetry |
| Grantee: | Fábio Diniz Rossi |
| Support Opportunities: | Regular Research Grants |