Now showing items 1-16 of 16

    • Building a Digital Twin for network optimization using graph neural networks 

      Ferriol Galmés, Miquel; Suárez-Varela Maciá, José Rafael; Paillissé Vilanova, Jordi; Shi, Xiang; Xiao, Shihan; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2022-11-09)
      Article
      Open Access
      Network modeling is a critical component of Quality of Service (QoS) optimization. Current networks implement Service Level Agreements (SLA) by careful configuration of both routing and queue scheduling policies. However, ...
    • 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. ...
    • Design and Implementation of the Persistence layer of a Blockchain to secure IP prefixes 

      Ferriol Galmés, Miquel (Universitat Politècnica de Catalunya, 2018-01-24)
      Bachelor thesis
      Open Access
      La tecnologia BlockChain actualment és un dels temes que més està donant què parlar, ja que ofereix seguretat, descentralització, transparència.... Aquest projecte intenta dur a aquesta tecnologia a l'abast de les Tecnologies ...
    • 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 ...
    • Graph neural networks for communication networks: context, use cases and opportunities 

      Suárez-Varela Maciá, José Rafael; Almasan Puscas, Felician Paul; Ferriol Galmés, Miquel; Rusek, Krzysztof; Geyer, Fabien; Cheng, Xiangle; Shi, Xiang; Xiao, Shihan; Scarselli, Franco; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2023-05)
      Article
      Open Access
      Graph neural networks (GNN) have shown outstanding applications in fields where data is essentially represented as graphs (e.g., chemistry, biology, recommendation systems). In this vein, communication networks comprise ...
    • 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 ...
    • 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
      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, recommender systems). In particular, GNNs are becoming increasingly popular in ...
    • 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 ...
    • IPchain: securing IP prefix allocation and delegation with blockchain 

      Paillissé Vilanova, Jordi; Ferriol Galmés, Miquel; Garcia Ribera, Eric; Lafif Martínez, Hamid; Piris Yamuza, Carlos; López Brescó, Albert; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Restricted access - publisher's policy
      We present IPchain, a blockchain to store the allocations and delegations of IP addresses, with the aim of easing the deployment of secure interdomain routing systems. Interdomain routing security is of vital importance ...
    • Network digital twin: context, enabling technologies, and opportunities 

      Almasan Puscas, Felician Paul; Ferriol Galmés, Miquel; Paillissé Vilanova, Jordi; Suárez-Varela Maciá, José Rafael; Perino, Diego; Lopez, Diego; Pastor Perales, Antonio Agustín; Harvey, Paul; Ciavaglia, Laurent; Wong, Leon; Xiao, Shihan; Ram, Vishnu; Shi, Xiang; Cheng, Xiangle; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2022-11)
      Article
      Open Access
      The proliferation of emergent network applications (e.g., telesurgery, metaverse) is increasing the difficulty of managing modern communication networks. These applications entail stringent network requirements (e.g., ...
    • Network modeling using graph neural networks 

      Ferriol Galmés, Miquel (Universitat Politècnica de Catalunya, 2020-07)
      Master thesis
      Restricted access - confidentiality agreement
    • Performance-oriented digital twins for packet and optical networks 

      Cabellos Aparicio, Alberto; Janz, Christopher; Almasan Puscas, Felician Paul; Ferriol Galmés, Miquel; Barlet Ros, Pere; Paillissé Vilanova, Jordi; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Guo, Aihua; Perino, Diego; Lopez, Diego; Pastor Perales, Antonio Agustín (2023-10-23)
      Research report
      Open Access
      This draft introduces the concept of a Network Digital Twin (NDT), including the architecture as well as the interfaces. Then two specific instances of the NDT are introduced, the first one for packet networks. This ...
    • Preventing route leaks using a decentralized approach: an experimental evaluation 

      Ferriol Galmés, Miquel; Coll Aumatell, Roger; Cabellos Aparicio, Alberto; Ren, Shoushou; Wei, Xinpeng; Liu, Bingyang (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      In the inter-domain routing infrastructure, a route leak is defined as a violation of the routing policy agreed between two Autonomous Systems (AS). Route leaks have resulted in large-scale outages on the Internet, taking ...
    • 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)
      Conference report
      Open Access
      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 ...
    • RouteNet-Fermi: network modeling with graph neural networks 

      Ferriol Galmés, Miquel; Paillissé Vilanova, Jordi; Suárez-Varela Maciá, José Rafael; Rusek, Krzysztof; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2023-12)
      Article
      Open Access
      Network models are an essential block of modern networks. For example, they are widely used in network planning and optimization. However, as networks increase in scale and complexity, some models present limitations, such ...
    • 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
      Open Access
      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 ...