- A little about the 5G scenario
The constant evolution of 5G technology is shaping a new era in the global technological landscape. Brazil is actively following this transformation, adopting the innovative capabilities that 5G offers. With its remarkable low latency capabilities and unprecedented transmission speeds, 5G promises to revolutionize how we communicate and usher in a range of untapped opportunities in sectors such as healthcare, agriculture and industry. This shift not only drives innovation but also has the potential to increase efficiencies across multiple areas, redefining the way these sectors operate. This set of 5G applications can revolutionize the daily lives of companies and end users, bringing profound changes to society and effectively configuring a new Digital Era.
5G, with its advanced connectivity capabilities, has given rise to several classic applications that are revolutionizing different sectors. 5G enables high-precision automation and real-time machine communication in the manufacturing industry, improving production efficiency. In healthcare, 5G enables high-quality telehealth, remote consultations, patient monitoring, and even robot-assisted surgeries.
In transportation, 5G contributes to autonomous vehicles and intelligent traffic systems, optimizing road safety and fluidity through numerous applications, including for the electric vehicle sector, such as vehicles connected in decentralized ways through Edge and Beyond. In the energy sector, intelligent electrical networks are bringing new perspectives to energy consumption generated by electrical networks connected to computers and homes, but also bringing new possibilities, such as Vehicles connected to the Network (V2G and derivatives), which bring new possibilities to problematize the traditional energy matrix, towards sustainable societies.
- Some CPE SMARTNESS Proposals for the current 5G scenario
The Smart Networks and Services for 2030 (Smartness) Research Center, in partnership with Ericsson and located at Unicamp, aims to carry out advanced research in computer networks and digital services applied to strategic areas to achieve scientific and technological impacts by 2030. Some of the Center’s proposals involve different methodologies that can be explored to make the most of 5G’s capabilities. Video streaming, such as YouTube, can be a powerful tool for understanding 5G network performance when delivering real-time audiovisual content. By capturing datasets that include information about the use of streaming services and the behavior of 5G networks in Brazil, researchers can analyze service quality, latency and other factors that affect the user experience. For experimental evaluations, test scenarios can be created where devices connect to 5G networks to measure latency, data transfer speed, and connection reliability. This data can be used to develop machine-learning models that predict network performance under different conditions. Combining real-world data with machine learning techniques opens the door to valuable insights and the development of solutions that further improve the quality and efficiency of 5G networks across multiple applications.
- Hackathon SMARTNESS/5G 2023
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”.
- RELEVANT POINTS ABOUT HACKATHON 2023
Stand, pamphlets and attractions (sweets). We had a stand at our disposal, positioned at the event’s entrance right after registration, to publicize the event. We needed to organize ourselves, store materials, use the notebook, talk to the public and so on. Furthermore, the location at the entrance to the event was undoubtedly a positive point, as it guaranteed everyone access to the stand. The table in front of the stand’s banner made it challenging to read all the content.
On the first day of publicity, we only used a notebook (a presentation slide with information about the hackathon and other slides about the research involved in the hackathon and data sets) and SMARTNESS pamphlets (which ran out quickly, as there were few and were distributed without control to all members of a group).
The next day, we bought around 50 units of assorted chocolates from the Cacau Show and made around 50 double-sided flyers (SMARTNESS/hackathon) in a print shop. The pamphlets were handy as hand-to-hand publicity material, and it was even possible to approach groups during coffee breaks, handing out the pamphlets and doing the “jabá”. The stand was also shared to promote Alberti’s book. It was an exciting experience, as it brought the public to the stand, giving the impression of being “well visited”.
- SMARTNESS 2030- Education and Dissemination of Results for an Innovative Future
The SMARTNESS Engineering Research Center (CPE) has a complete strategy to effectively disseminate its results and provide education to the academic public, bringing general benefits (inputs) to society. The Educational Dissemination and Knowledge (EDC) plan has five pillars: Click SMARTNESS, Scientific Events, Teaching, Publications and Talent Training. Inspired by best practices from the National Science Foundation Engineering Research Centers (NSF ERC), SMARTNESS seeks to align with similar programs successfully. The Click SMARTNESS pillar focuses on creating an accessible website for sharing updates, webinars, podcasts and social media dissemination. Scientific Events encompass workshops, hackathons, challenges and industrial exhibitions to showcase scientific and technological innovations. Teaching includes new postgraduate courses, ongoing teacher training, and pre-university engagement to educate about SMARTNESS technologies. Publications aim for high-quality articles and book chapters, promoting open access and good research practices. Talent Training focuses on qualifying researchers through various programs. This plan aims to disseminate knowledge, involve students and contribute to advancing research in relevant areas. In summary, the SMARTNESS Project effectively disseminates knowledge, involving students and contributing to the advancement of research in its relevant areas.
Within a vast network of researchers, the team is composed of the principal investigator (PI), Christian Esteve Rothenberg and the co-main investigators, Edmundo Roberto Mauro Madeira, Fabio Luciano Verdi, Fernando José von Zuben, Hugo Enrique Hernández Figueroa, Jó Ueyama, Maria Valeria Marquezini and Ricardo Ribeiro Gudwin. In addition, Smartness 2030 has associated researchers, such as: Alberto Yukinobu Hata, Aldebaro Barreto da Rocha Klautau Junior, Alfredo Goldman vel Lejbman, Antonio Jorge Gomes Abelém, Carlos Alberto Kamienski, Carlos Renato Lisboa Francês, Cristiano Bonato Both, Daniel Macêdo Batista , Darli Augusto de Arruda Mello, Eduardo Coelho Cerqueira, Eduardo James Pereira Souto, Eric Rohmer, Francisco Vilar Brasileiro, Gustavo Bittencourt Figueiredo, Hermes Senger, Jean Paulo Martins, José Marcos Silva Nogueira, Klaus Raizer, Kleber Vieira Cardoso, Leandro Aparecido Villas, Luciano Paschoal Gaspary, Luiz Fernando Bittencourt, Magnos Martinello, Marcelo Caggiani Luizelli, Marco Aurelio Amaral Henriques, Marcos Antonio Simplicio Junior, Mateus Augusto Silva Santos, Paulo Cardieri, Paulo Matias, Pedro Henrique Gomes da Silva, Rafael Lopes Gomes, Rafael Pasquini, Ramon dos Reis Fontes, Raphael Vicente Rosa, Rodolfo da Silva Villaca, Sand Luz Correa, Simone Ferlin Oliveira, Tereza Cristina Melo de Brito Carvalho and Tiago Agostinho de Almeida.
- A little about the Brazilian Symposium on Computer Networks and Distributed Systems (SBRC)
SBRC is an annual event promoted by the Brazilian Computing Society (SBC) and the Computer Networks Laboratory (LARC). Over more than 40 years, the SBRC has established itself as the leading national scientific event in computer networks and distributed systems, attracting researchers from Latin America and the world.
To participate in the Hackathon, you must:
- Registration at SBRC 2024
- Portable computer
- Able to perform data processing and ML in Jupyter Notebook
- Access to cloud resources through Google Colab
- Desirable knowledge:
- Data processing and analysis
- Machine Learning / ML Methods – Machine Learning (e.g. clustering, regression, etc.)
- Python programming; Jupyter Notebook/Google Colab
- Topics of Interest
Researchers are invited to submit full articles with their scientific or technological research results. At least three experts will evaluate each article. Some of the topics of interest include, but are not limited to:
- Smart Applications (Cities, Agriculture, Health, Industry, Homes, Smart Grid)
- Blockchain and distributed ledger technologies
- Data-intensive computing (big data), analysis and data mining
- Mobile computing
- Cloud, fog, edge and service-oriented computing
- Social computing
- Ubiquitous, pervasive, context-aware computing
- Urban computing
- Performance, scalability and reliability
- Network engineering and traffic control
- Network management, operation, design and analysis
- Internet of Things and cyber-physical systems
- Internet of the future
- Network measurement and monitoring
- Quality of service (QoS) and experience (QoE)
- Quantum networks and nanonetworks
- Information-centric networks
- 5G/6G networks and their applications
- Network softwarization (SDN, NFV, P4)
- Optical networks
- Social networks (online, mobile and pervasive)
- Delay/interruption-tolerant networks
- Vehicular, robotic and drone networks
- Green networks
- Security in networks and distributed systems
- Network simulation and emulation
- Fault tolerance and resilience
- Network virtualization
- Big data and machine learning applications in computer networks and distributed systems
- Data models and architectures for big data
Arthur J. Simas (UNICAMP)
Christian E. Rothenberg (UNICAMP)
Luiz Bittencourt (UNICAMP)
Pedro Henrique Gomes (Ericsson)
Maria Marquezini (Ericsson)
Washington Rodrigo Dias (UFSCar)
Fabio L. Verdi (UFSCar)
Tiago A. Almeida (UFSCar)
Thiago Caproni (IF Sul de Minas/UFSCar)
Rafael Pasquini (UFU)
Boutaba, R., Salahuddin, M.A., Limam, N. et al. A comprehensive survey on machine learning for networking: evolution, applications and research opportunities. J Internet Serv Appl 9, 16 (2018). [link]
Raza Ul Mustafa, Christian Esteve Rothenberg, Chadi Barakat, “YouTube goes 5G: Benchmarking YouTube in 4G vs 5G”, IEEE Dataport. Dec (2022). [link]
Raza Ul Mustafa, Christian Esteve Rothenberg. “A Framework for QoS and QoE Assessment of Encrypted Video Traffic with 4G and 5G Open Datasets”. In IEEE GLOBECOM’22 Demo Session, Dec (2022). [link]