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The Offloading Dilemma: Exploring the Boundaries of Programmable Data Planes

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Autor(es):
Vogt, Francisco Germano ; Luizelli, Marcelo Caggiani ; Rothenberg, Christian Esteve
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: 2025 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT; v. N/A, p. 6-pg., 2025-01-01.
Resumo

In-Network Computing (INC) is transforming how we design and evaluate modern networks by enabling programmable data planes to execute computational tasks at line rate. However, deciding which functions to offload, to which device and using which strategy is not a trivial task. This PhD project explores the opportunities, challenges and boundaries of offloading network functions and application logic to programmable switches and SmartNICs. Through a series of case studies, we demonstrate that INC-based solutions enhance both network efficiency and application performance. On the other hand, we also demonstrate the tradeoffs of these offloadings and how they can impact the infrastructure in terms of performance and resource utilization. Our findings provide actionable insights for the deployment of INC in real-world scenarios, highlighting where offloading delivers the most value and where traditional approaches remain preferable. (AU)

Processo FAPESP: 24/16207-8 - Repensando Testadores de Redes para Próxima Geração de Redes e Aplicações 5G/6G.
Beneficiário:Filipo Gabert Costa
Modalidade de apoio: Bolsas no Brasil - Mestrado
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
Processo FAPESP: 21/00199-8 - Redes e serviços inteligentes rumo 2030 (SMARTNESS)
Beneficiário:Christian Rodolfo Esteve Rothenberg
Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada
Processo FAPESP: 23/00794-9 - DigiNet: Rumo à Era das Redes Inteligentes Assistidas por Digital Twin
Beneficiário:Marcelo Caggiani Luizelli
Modalidade de apoio: Auxílio à Pesquisa - Regular