Enviaments recents

  • Amazon Alexa traffic traces 

    Barceló Armada, Rubén; Castell Uroz, Ismael; Barlet Ros, Pere (2022-03)
    Article
    Accés obert
    The number of devices that make up the Internet of Things (IoT) has been increasing every year, including smart speakers such as Amazon Echo devices. These devices have become very popular around the world where users with ...
  • Demystifying content-blockers: Measuring their impact on performance and quality of experience 

    Castell Uroz, Ismael; Sánz García, Rubén; Solé Pareta, Josep; Barlet Ros, Pere (2022-09)
    Article
    Accés obert
    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 ...
  • 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
    Accés obert
    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
    Accés obert
    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 ...
  • 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
    Accés obert
    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 ...
  • Sistemes tecnològics de seguiment: privacitat en temps de pandèmia 

    Domingo Pascual, Jordi (2020)
    Article
    Accés obert
    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 ...
  • 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
    Accés restringit per política de l'editorial
    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
    Accés obert
    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 ...
  • IGNNITION: Bridging the gap between graph neural networks and networking systems 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021-11)
    Article
    Accés obert
    Recent years have seen the vast potential of graph neural networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, recommender systems). In particular, GNNs are becoming increasingly popular in ...
  • NetXplain: Real-time explainability of graph neural networks applied to networking 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021-08-05)
    Article
    Accés obert
    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 with high inner ...
  • The graph neural networking challenge: a worldwide competition for education in AI/ML for networks 

    Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; López Brescó, Albert; Almasan Puscas, Felician Paul; Bernárdez Gil, Guillermo; Pujol Perich, David; Rusek, Krzysztof; Bonniot, Loïck; Neumann, Christoph; Schnitzler, François; Taïani, François; Happ, Martin; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2021-07-01)
    Article
    Accés obert
    During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in ...
  • Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond 

    Careglio, Davide; Spadaro, Salvatore; Cabellos Aparicio, Alberto; Lázaro Villa, José Antonio; Barlet Ros, Pere; Gené Bernaus, Joan M.; Perelló Muntan, Jordi; Agraz Bujan, Fernando; Suárez-Varela Maciá, José Rafael; Pagès Raventós, Albert; Paillissé Vilanova, Jordi; Almasan Puscas, Felician Paul; Domingo Pascual, Jordi; Solé Pareta, Josep (Multidisciplinary Digital Publishing Institute, 2021-09-30)
    Article
    Accés obert
    Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and ...

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