Recent Submissions

  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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)
    Conference report
    Open Access
    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)
    Conference lecture
    Open Access
    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)
    Conference lecture
    Open Access
    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)
    Conference report
    Open Access
    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 ...
  • Nanorouter awareness in flow-guided nanocommunication networks 

    Asorey Cacheda, Rafael; Lemic, Filip; García Sánchez, Antonio-Javier; Abadal Cavallé, Sergi; Famaey, Jeroen; Garcia Haro, Joan (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Flow-guided electromagnetic nanonetworks will enable innovative medical applications for monitoring, information gathering, and data transmission inside the human body. These nanonetworks will have to operate under extreme ...
  • On the use of programmable metasurfaces in vehicular networks 

    Saeed, Taqwa; Aziz, Waqar; Pitsillides, Andreas; Vassiliou, Vasos; Akyildiz, Ian; Taghvaee, Hamidreza; Abadal Cavallé, Sergi; Liaskos, Christos; Tsioliaridou, Ageliki; Ioannidis, Sotiris; Emoyon-Iredia, Ehizogie; Lestas, Marios (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Metasurface-based intelligent reflecting surfaces constitute a revolutionary technology which can serve the purpose of alleviating the blockage problem in mmwave communication systems. In this work, we consider the ...
  • Towards real-time routing optimization with deep reinforcement learning: open challenges 

    Almasan Puscas, Felician Paul; Suárez-Varela Maciá, José Rafael; Wu, Bo; Xiao, Shihan; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The digital transformation is pushing the existing network technologies towards new horizons, enabling new applications (e.g., vehicular networks). As a result, the networking community has seen a noticeable increase in ...

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