The work was led by PhD student Kayuã Oleques Paim, working with student Ricardo Rohweder, in a close collaboration with Prof. Dr. Mariana Recamonde-Mendoza and Prof. Dr. Rodrigo Brandão Mansilha.
Author: Weverton
Ou work “SPINNER: Enabling In-network Flow Clustering Entirely in a Programmable Data Plane” accepted for IEEE/IFIP NOMS 2024
The work was led by Luigi Cannarozzo, while he was a visiting student at INF-UFRGS, working under my supervision. Various students and colleagues collaborated for this successful submission.
Research project “Programmable Low-End Networks: Powering Internet Connectivity for the Other Three Billion” accepted for funding by Brazilian FAPESP
I am very excited to obtain funding support from FAPESP to fund a research project on devising programmable low-end network (LPWAN) devices that could be adopted in scenarios beyond IoT and bring internet connectivity for the other three billion.