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Our goals Cutting-edge advances in communication networks and digital application services Learn More > Research Strands Subjects designed to successfully impact world-class research Learn More > Scientific and Technological Advancements Innovation for industry and society with a vision on the horizon for the year 2030 Learn More >

The SMART NEtworks and ServiceS for 2030 (SMARTNESS) FAPESP Engineering Research Center (ERC) aims to advance cutting-edge research in computer networks and digital application services focused on strategic areas where scientific and technological impacts can be achieved by the year 2030, in collaboration with research communities of cloud and networking.

With the deployment of 5G and the 6G vision being developed, the main challenges for SMARTNESS are how to design and operate cloud computing infrastructures and networks with adequate capabilities to leverage the next generation of Internet services and applications. The scope of end-to-end services at the Internet scale is exceptionally broad and requires contributions across multiple disciplines along with large investments in capital and human resources. SMARTNESS aims to explore well-planned opportunities through an appropriate methodology based on the confluence of Research Strands (RS) designed to successfully impact world-class research and innovation through Scientific and Technological Advancements (STA) to address challenging use cases in Internet scenarios for industry and society with a vision on the horizon for the year 2030.

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Latest News

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New publication presented at CloudNet 2024

Christian Esteve Rothenberg, Dr. Fabricio Rodríguez Cesen, and M.Sc. student Arthur J. Simas had their paper "eZtunnel: Leveraging eBPF to Transparently Offload Service Mesh Data Plane Networking" accepted at IEEE CloudNet 2024, in Rio de Janeiro. The research addresses performance bottlenecks in service meshes like Istio, using eBPF to optimize networking traffic in Kubernetes nodes. Experiments show that eZtunnel reduces median latency by over 20% and jitter by nearly 10%.

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New publication presented at CBA 2024

SMARTNESS researchers have had their paper, "Convolutional Evolutive Granular Neural Network for Image Flow Classification," accepted at the XXV Brazilian Congress of Automation (CBA), 2024. The paper introduces a novel approach combining convolutional neural networks and granular evolutive models to enhance image recognition and classification. CBA 2024, held from October 15 to 18, 2024, is a crucial event for automation and control in Brazil.

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SMARTNESS 2030 and 6G: Marina Martinelli's Vision at Futurecom

Marina Martinelli, a PhD researcher from the SMARTNESS 2030 ERC at UNICAMP, recently participated as a speaker and mediator at Futurecom, Latin America's most significant technology and telecommunications event.

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Our results

Latest Publications

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Diego Medeiros de Abreu, Christian Esteve Rothenberg, and Antônio Jorge Gomes Abelém, “qIDS: Sistema de Detecção de Ataques baseado em Aprendizado de Máquina Quântico Híbrido”, in Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), 2024.

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Thiago D. Ferreira, Otavio Felipe de Freitas, Renan C. A. Alves, Bruno C. Albertini, Marcos A. Simplicio Jr., Daniel M. Batista, “SPDM-WiD: Uma Ferramenta para Inspeção de Pacotes do Security Protocol Data Model (SPDM)”, in Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos - Salão de Ferramentas (SBRC), 2024.

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Filipo Costa, Francisco Vogt, Fabricio Rodriguez, Marcelo Luizelli, and Christian Rothenberg, “Towards Time-Sensitive Networking Traffic Generation with PIPO-TG”, in Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos - Salão de Ferramentas (SBRC), 2024.

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