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  • Home
  • About
    • People
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  • Research
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    • Scientific and Technological Advancements
  • Dissemination
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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.

Partnerships

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SMARTNESS 2030 Research Center and Open Science

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Participation at SBSeg 2024, São José dos Campos, Brazil

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New publication presented at CloudNet 2024

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Our results

Latest Publications

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Fabricio Rodriguez, Francisco Vogt, Ariel Goés, and Christian Rothenberg, “Towards Multiple Pipelines Network Emulation with P7”, in IEEE International Conference on Network Softwarization (NetSoft), 2023.

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Eduardo S. Gama, Natesha B V, Roger Immich, and Luiz F. Bittencourt, “An Orchestrator Architecture for Multi-tier Edge/Cloud Video Streaming Services”, in IEEE International Conference on Edge Computing and Communications (EDGE), 2023.

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Francisco Vogt, Fabricio Rodríguez Cesen, Ariel Góes De Castro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, and Gergely Pongrác, “Demo of QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane”, in IEEE International Conference on Network Softwarization (NetSoft), 2023.

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