Enviaments recents

  • RouteNet-Erlang: A graph neural network for network performance evaluation 

    Ferriol Galmés, Miquel; Rusek, Krzysztof; Suárez-Varela Maciá, José Rafael; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Wu, Bo; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    Network modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the ...
  • Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies 

    Güemes Palau, Carlos; Almasan Puscas, Felician Paul; Xiao, Shihan; Cheng, Xiangle; Shi, Xiang; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    The recent growth of emergent network applications (e.g., satellite networks, vehicular networks) is increasing the complexity of managing modern communication networks. As a result, the community proposed the Digital Twin ...
  • A control plane for WireGuard 

    Paillissé Vilanova, Jordi; Barcia González, Alejandro; López Brescó, Albert; Rodríguez Natal, Alberto; Maino, Fabio; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    WireGuard is a VPN protocol that has gained significant interest recently. Its main advantages are: (i) simple configuration (via pre-shared SSH-like public keys), (ii) mobility support, (iii) reduced codebase to ease ...
  • 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)
    Text en actes de congrés
    Accés obert
    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 ...
  • 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)
    Comunicació de congrés
    Accés obert
    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. ...
  • 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)
    Text en actes de congrés
    Accés obert
    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 ...
  • 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)
    Text en actes de congrés
    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, 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)
    Text en actes de congrés
    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 due to their high inner ...
  • Is machine learning ready for traffic engineering optimization? 

    Bernárdez Gil, Guillermo; Suárez-Varela Maciá, José Rafael; López Brescó, Albert; Wu, Bo; Xiao, Shihan; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    Traffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization. We address this open question through a ...
  • IGNNITION: fast prototyping of graph neural networks for communication networks 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; Wu, Bo; Xiao, Shihan; Cheng, Xiangle; Cabellos Aparicio, Alberto; Barlet Ros, Pere (Association for Computing Machinery (ACM), 2021)
    Comunicació de congrés
    Accés obert
    Graph Neural Networks (GNN) have recently exploded in the Machine Learning area as a novel technique for modeling graph-structured data. This makes them especially suitable for applications in the networking field, as ...
  • Decentralised Internet infrastructure: Securing inter-domain routing (DEMO) 

    Ferriol Galmés, Miquel; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Comunicació de congrés
    Accés obert
    The Border Gateway Protocol (BGP) is the inter-domain routing protocol that glues the Internet. BGP does not incorporate security and instead, it relies on careful configuration and manual filtering to offer some protection. ...
  • Modelling short-range quantum teleportation for scalable multi-core quantum computing architectures 

    Rodrigo Muñoz, Santiago; Abadal Cavallé, Sergi; García Almudever, Carmen; Alarcón Cot, Eduardo José (Association for Computing Machinery (ACM), 2021)
    Text en actes de congrés
    Accés obert
    Multi-core quantum computing has been identified as a solution to the scalability problem of quantum computing. However, interconnecting quantum chips is not trivial, as quantum communications have their share of quantum ...

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