In June 2023, Francisco Germano Vogt successfully defended his master's dissertation titled “In-band Telemetry using Inter-packet Gap Metrics for Network and Service Metrics Management”, under the guidance of Professor Christian Esteve Rothenberg.
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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Ariel Góes represented the INTRIG group at the IEEE ICC 2023, presenting "Taking detours: An in-network fault-tolerant probing planning for In-band Network Telemetry" in the context of sustainable communications.
This year, the 41st edition of the SBRC hosted the SMARTNESS/5G Dataset Challenge Hackathon, providing teams with a platform to develop innovative solutions and gain valuable insights through analyzing datasets provided by the organizing committee. The SMARTNESS Hackathon was hosted at SBRC 2023 on 05/25/2023, and its theme was “Developing solutions and insights using machine learning on data from 5G networks in Brazil”.
