El grup CBA és un grup de recerca de la UPC i un GRC (2001SGR-00226, 2005SGR-00481, 2009SGR-01140, 2014SGR-1427, 2017SGR-1037). L'àmbit de recerca se centra en les xarxes de computadors i comunicacions abordant les temàtiques: xarxes IP, xarxes òptiques, monitorització de xarxa i anàlisi de tràfic, identitat digital i signatura electrònica, xarxes energèticament eficients i nano-comunicacions, xarxes 5G. El grup CBA forma part del Centre Específic de Recerca CCABA/UPC.

El grupo CBA es un grupo de investigación de la UPC y un GRC (2001SGR-00226, 2005SGR-00481, 2009SGR-01140). El ámbito de investigación se centra en las redes de computadores y comunicaciones abordando las temáticas: redes IP, redes ópticas, monitorización de red y análisis de tráfico, identidad digital y firma electrónica, redes energéticamente eficientes y nano-comunicaciones. El grupo CBA forma parte del Centro Específico de Investigación CCABA / UPC.

The study, design and evaluation of broadband communication networks, broadband Internet and optical networks. Network architectures, communication protocols, MAC protocols, network services, performance and traffic characterisation, traffic monitoring, quality of service, GMPLS networks, OBS, OPS, mobility, anomaly detection, new netwirk architectures, 5G network architecture.

The study, design and evaluation of broadband communication networks, broadband Internet and optical networks. Network architectures, communication protocols, MAC protocols, network services, performance and traffic characterisation, traffic monitoring, quality of service, GMPLS networks, OBS, OPS, mobility, anomaly detection, new netwirk architectures, 5G network architecture.

Recent Submissions

  • Demystifying content-blockers: Measuring their impact on performance and quality of experience 

    Castell Uroz, Ismael; Sánz García, Rubén; Solé Pareta, Josep; Barlet Ros, Pere (2022-05-31)
    Article
    Open Access
    With the evolution of the online advertisement and tracking ecosystem, content-blockers have become the reference tool for improving the security, privacy and browsing experience when surfing the Internet. It is also ...
  • FlowDT: A Flow-aware Digital Twin for computer networks 

    Ferriol Galmés, Miquel; Cheng, Xiangle; Shi, Xiang; Xiao, Shihan; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Network modeling is an essential tool for network planning and management. It allows network administrators to explore the performance of new protocols, mechanisms, or optimal configurations without the need for testing ...
  • Multiwideband terahertz communications via tunable graphene-based metasurfaces in 6G networks: Graphene enables ultimate multiwideband THz wavefront control 

    Taghvaee, Hamidreza; Pitilakis, Alexandros; Tsilipakos, Odysseas; Tasolamprou, Anna; Kantartzis, Nikolaos V.; Kafesaki, Maria; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi (Institute of Electrical and Electronics Engineers (IEEE), 2022-06)
    Article
    Open Access
    The next generation of wireless networks is expected to tap into the terahertz (THz) band (0.1–10 THz) to satisfy the extreme latency and bandwidth density requirements of future applications. However, the development of ...
  • Verification of performance degradation in a telecommunications system due to the uncertainty of human users in the loop 

    Alzate Mejía, Nestor; Santos Boada, Germán; Almeida Amazonas, José Roberto de (2022-04-14)
    Article
    Open Access
    The intensive use of new technologies that cause more interactions between systems and the daily activities of human users is changing the focus on how network re- sources should be managed. However, these changes can ...
  • Evaluation of joint controller placement for latency and reliability-aware control plane 

    Rasol, Kurdman Abdulrahman Rasol; Domingo Pascual, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    The separation of the forwarding and control planes in software-defined networking provides flexibility for network management. The Controller Placement Problem (CPP) is an important issue affecting network performance. ...
  • Interconnects for DNA, quantum, in-memory and optical computing: insights from a panel discussion 

    Ganguly, Amlan; Abadal Cavallé, Sergi; Thakkar, Ishan; Enright Jerger, Natalie; Riedel, Marc; Babaie, Masoud; Balasubramonian, Rajeev; Sebastian, Abu; Pasricha, Sudeep; Taskin, Baris (2022-06)
    Article
    Open Access
    The computing world is witnessing a proverbial Cambrian explosion of emerging paradigms propelled by applications such as Artificial Intelligence, Big Data, and Cybersecurity. The recent advances in technology to store ...
  • Unveiling the potential of graph neural networks for robust intrusion detection 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    The last few years have seen an increasing wave of attacks with serious economic and privacy damages, which evinces the need for accurate Network Intrusion Detection Systems (NIDS). Recent works propose the use of Machine ...
  • Sistemes tecnològics de seguiment: privacitat en temps de pandèmia 

    Domingo Pascual, Jordi (2020)
    Article
    Open Access
    La pandèmia de la COVID-19 ha suposat una situació del tot excepcional en la vida quotidiana arreu del món. La declaració de l’estat d’alarma, si bé no és un estat d’excepció, ha suposat una retallada efectiva en els drets ...
  • IGNNITION: A framework for fast prototyping of Graph Neural Networks 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    Recent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ...
  • NetXplain: Real-time explainability of graph neural networks applied to computer networks 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    Recent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes due to their high inner ...
  • Security optimization of IoT platforms based on named data networking 

    Margin, Dan-Andrei; Moldovan, Denisa-Adina; Ivanciu, Iustin-Alexandru; Domingo Pascual, Jordi; Dobrota, Virgil (2021)
    Article
    Restricted access - publisher's policy
    When it comes to developing a smart system involving sensors and actuators, there are two main problems to be addressed: what platform to be used as infrastructure and how to develop the security layer? In this paper, Orion ...
  • Computing graph neural networks: A survey from algorithms to accelerators 

    Abadal Cavallé, Sergi; Jain, Akshay; Guirado Liñan, Robert; López Alonso, Jorge; Alarcón Cot, Eduardo José (Association for Computing Machinery (ACM), 2022-12-01)
    Article
    Open Access
    Graph Neural Networks (GNNs) have exploded onto the machine learning scene in recent years owing to their capability to model and learn from graph-structured data. Such an ability has strong implications in a wide variety ...

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