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Entree


Hey, Lumi! Using Natural Language for Intent-Based Network Management

Autor(es):
Jacobs, Arthur S. ; Pfitscher, Ricardo J. ; Ribeiro, Rafael H. ; Ferreira, Ronaldo A. ; Granville, Lisandro Z. ; Willinger, Walter ; Rao, Sanjay G. ; USENIX ASSOC
Número total de Autores: 8
Tipo de documento: Artigo Científico
Fonte: PROCEEDINGS OF THE 2021 USENIX ANNUAL TECHNICAL CONFERENCE; v. N/A, p. 15-pg., 2021-01-01.
Resumo

In this work, we ask: what would it take for, say, a campus network operator to tell the network, using natural language, to "Inspect traffic for the dorm"? How could the network instantly and correctly translate the request into low-level configuration commands and deploy them in the network to accomplish the job it was "asked" to do? We answer these questions by presenting the design and implementation of LUMI, a new system that (i) allows operators to express intents in natural language, (ii) uses machine learning and operator feedback to ensure that the translated intents conform with the operator's goals, and (iii) compiles and deploys them correctly in the network. As part of LUMI, we rely on an abstraction layer between natural language intents and network configuration commands referred to as Nile (Network Intent LanguagE). We evaluate LUMI using synthetic and real campus network policies and show that LUMI extracts entities with high precision and compiles intents in a few milliseconds. We also report on a user study where 88.5% of participants state they would rather use LUMI exclusively or in conjunction with configuration commands. (AU)

Processo FAPESP: 18/23085-5 - ProgNet: redes com plano de dados programável
Beneficiário:Marcos Augusto Menezes Vieira
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 15/24494-8 - Comunicação e processamento de big data em nuvens e névoas computacionais
Beneficiário:Nelson Luis Saldanha da Fonseca
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 20/05183-0 - SkyNet: rumo à era dos planos de dados inteligentes
Beneficiário:Luciano Paschoal Gaspary
Modalidade de apoio: Auxílio à Pesquisa - Temático