| Texto completo | |
| Autor(es): |
Nunes, Diego Cardoso
;
Benson, Theophilus A.
;
Schaeffer-Filho, Alberto E.
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | NOMS 2025-2025 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM; v. N/A, p. 10-pg., 2025-01-01. |
| Resumo | |
Congestion control mechanisms limit the end hosts' transmission rates, preventing the depletion of network resources. Typically, these systems focus only on fair resource allocation between competing flows. However, thinking only about fairness is insufficient: novel ML-powered congestion control mechanisms may be unpredictable, and even some of the already widely adopted congestion control mechanisms may still harm the network operation in some scenarios. In this context, it is important to also think about the safety of those systems. In this work, we present and analyze formally the concept of safety in congestion control. We use this formalization to design and implement SafeNetCC, a system capable of improving safety of potentially unsafe congestion control mechanisms. Our preliminary results show that SafeNetCC can improve network safety, reducing delays and improving fairness, even when incompatible congestion controls coexist in the same network. In an emulated scenario, we observed an RTT reduction of up to 80% and fairness improvements for incompatible congestion controls. (AU) | |
| Processo FAPESP: | 23/00673-7 - Inteligência distribuída em redes de comunicação e internet das coisas |
| Beneficiário: | Nelson Luis Saldanha da Fonseca |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 23/00764-2 - RESIST: Computação In-Network Resiliente |
| Beneficiário: | Alberto Egon Schaeffer Filho |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 20/05152-7 - PROFISSA: internet do futuro programável para arquiteturas e softwares seguros |
| Beneficiário: | Lisandro Zambenedetti Granville |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |