Recent Submissions

  • Chapter 10- A novel cloud-based IoT architecture for smart building automation 

    Sembroiz Ausejo, David; Ricciardi, Sergio; Careglio, Davide (Elsevier, 2018)
    Part of book or chapter of book
    Open Access
    The Internet of Things (IoT) is meant to be the future of the current Internet. It is commonly defined as a network of physical and virtual objects, devices, or things that are capable of collecting surrounding data and ...
  • ZIZO: A Zoom-In Zoom-Out mechanism for minimizing redundancy and saving energy in wireless sensor networks 

    El Sayed, Ahmad Mohammad; Harb, Hassan; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (2021-02-01)
    Article
    Open Access
    In modern life, there is invisible data being continuously generated, data that if collected and processed can detect risks and changes and enable us to mitigate their effect. Thus, there is an essential need to sense ...
  • Side channel attack on a partially encrypted MPEG-G file 

    Naro, Daniel; Delgado Mercè, Jaime; Llorente Viejo, Silvia (2021-03-08)
    Article
    Restricted access - publisher's policy
    New genome sequencing technologies have decreased the cost of generating genomic data, thus increasing storage needs. The International Organization for Standardization (ISO) working group MPEG has developed a standard for ...
  • An IoT-based infrastructure to enhance self-evacuations in natural hazardous events 

    Finochietto, José Mariano; Micheletto, Matías; Eggly, Gabriel M.; Pueyo Centelles, Roger; Santos, Rodrigo; Ochoa, Sergio F.; Meseguer Pallarès, Roc; Orozco, Javier (2021-02-05)
    Article
    Restricted access - publisher's policy
    Regardless of the extensive research conducted on large-scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follows ...
  • DRMaestro: orchestrating disaggregated resources on virtualized data-centers 

    Carneiro do Amaral, Marcelo; Polo Bardés, Jorda; Carrera Pérez, David; González, Nelson; Yang, Chih-Chieh; Morari, Alessandro; D'Amora, Bruce; Youssef, Alaa; Steinder, Malgorzata (Springer, 2021-03-06)
    Article
    Open Access
    Modern applications demand resources at an unprecedented level. In this sense, data-centers are required to scale efficiently to cope with such demand. Resource disaggregation has the potential to improve resource-efficiency ...
  • Drug2ways: Reasoning over causal paths in biological networks for drug discovery 

    Rivas Barragan, Daniel; Mubeen, Sarah; Guim Bernat, Francesc; Hofmann Apitius, Martin; Domingo Fernández, Daniel (2020-12-02)
    Article
    Open Access
    Elucidating the causal mechanisms responsible for disease can reveal potential therapeutic targets for pharmacological intervention and, accordingly, guide drug repositioning and discovery. In essence, the topology of a ...
  • Supporting beyond 5G applications by coordinating AI-based intent operation: an example for multilayer metro networks 

    Tabatabaeimehr, Fatemehsadat; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Intent-based Networking (IBN) promises facilitating autonomous decision-making for service assurance. In this paper, we extend IBN by coordinating AI-based intents targeting at supporting beyond 5G services, like immersive ...
  • Reinforcement learning-based autonomous multilayer network operation 

    Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    We propose an Intent-Based Networking solution based on Reinforcement Learning (RL). RL-based intents with specific operational objectives and coordinated operation between network layers are developed. Results show service ...
  • Improving predication efficiency through compaction/restoration of SIMD instructions 

    Barredo Ferreira, Adrián; Cebrián González, Juan Manuel; Moreto Planas, Miquel; Casas Guix, Marc; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Vector processors offer a wide range of unexplored opportunities to improve performance and energy efficiency. However, despite its potential, vector code generation and execution have significant challenges, the most ...
  • Joint latency and reliability-aware controller placement 

    Rasol, Kurdman Abdulrahman Rasol; Domingo Pascual, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In network architectures based on Software Defined Networking (SDN) the control plane (control logic) is separated from the network data plane (forwarding plane) while traditional network routers combine both. Software ...
  • Evaluating mixed-precision arithmetic for 3D generative adversarial networks to simulate high energy physics detectors 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Khattak, Gulrukh; Petit, Eric; Vallecorsa, Sofia; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Several hardware companies are proposing native Brain Float 16-bit (BF16) support for neural network training. The usage of Mixed Precision (MP) arithmetic with floating-point 32-bit (FP32) and 16-bit half-precision aims ...
  • Accelerated execution via eager-release of dependencies in task-based workflows 

    Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Sage, 2021-03-03)
    Article
    Open Access
    Task-based programming models offer a flexible way to express the unstructured parallelism patterns of nowadays complex applications. This expressive capability is required to achieve maximum possible performance for ...

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