Recent Submissions

  • Time-constrained loop pipelining 

    Sánchez Carracedo, Fermín; Cortadella, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2005)
    Conference report
    Open Access
    This paper addresses the problem of Time-Constrained Loop Pipelining, i.e. given a fixed throughput, finding a schedule of a loop which minimizes resource requirements. We propose a methodology, called TCLP, based on ...
  • A structural encoding technique for the synthesis of asynchronous circuits 

    Carmona Vargas, Josep; Cortadella, Jordi; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2001)
    Conference report
    Open Access
    This paper presents a method for the automatic synthesis of asynchronous circuits from Petri net specifications. The method is based on a structural encoding of the system in such a way that a circuit implementation is ...
  • A scenario centred approach to emotion profiling based on EEG signal processing 

    Reyes Muñoz, María Angélica; Rebolledo Mendez, Genaro; Callaghan, Victor (Springer, 2017)
    Conference report
    Restricted access - publisher's policy
    This paper considers how the use of physiological sensing to measure human emotions will change the world in areas such as education, human-robot interfaces, job applications, interaction with friends, finding love and ...
  • Training deep neural networks with low precision input data: a hurricane prediction case study 

    Kahira, Albert; Bautista-Gómez, Leonardo; Badia Sala, Rosa Maria (Springer, 2018)
    Conference report
    Open Access
    Training deep neural networks requires huge amounts of data. The next generation of intelligent systems will generate and utilise massive amounts of data which will be transferred along machine learning workflows. We study ...
  • Evaluating SLURM simulator with real-machine SLURM and vice versa 

    Jokanovic, Ana; D'Amico, Marco; Corbalán González, Julita (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Having a precise and a fast job scheduler model that resembles the real-machine job scheduling software behavior is extremely important in the field of job scheduling. The idea behind SLURM simulator is preserving the ...
  • Freezing Time: a new approach for emulating fast storage devices using VM 

    Bona, Luis C.E.; Elias, Alessandro; Ziviani, Andre P.; Cortés, Toni; Nou, Ramon; Alves, Marco A.Z. (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Recently we are seeing a considerable effort from both academy and industry in proposing new technologies for storage devices. Often these devices are not readily available for evaluation and methods to allow performing ...
  • Inter-core crosstalk impact on migration planning from elastic optical networks to spectrally-spatially flexible optical networks 

    Lechowicz, Piotr; Rumipamba Zambrano, Rubén Darío; Perelló Muntan, Jordi; Spadaro, Salvatore; Walkowiak, Krzysztof (Optical Society of American (OSA), 2019)
    Conference report
    Restricted access - publisher's policy
    We study inter-core crosstalk (ICXT) impact on migration planning toward spectrally-spatially flexible optical networks considering 22-core multi-core fiber. Results reveal that 55-70% of links need to be upgraded when ...
  • Automated end to end Carrier Ethernet provisioning over a disaggregated WDM metro network with a hierarchical SDN control and monitoring platform 

    Morro, Roberto; Lucrezia, Francesco; Gomes, P.; Casellas Regi, Ramón; Giorgetti, Alessio; Velasco Esteban, Luis Domingo; Riccardi, Emilio; Chiadò Piat, Anna; Percelsi, Alessandro; Pedro, João; Gifré Renom, Lluís; Sgambelluri, Andrea; Risso, Fulvio; Marchetto, Guido
    Conference report
    Open Access
    This demo shows how a hierarchical control plane of ONOS SDN controllers orchestrates the dynamic provisioning of end-to-end Carrier Ethernet circuits on a composite network, programming the whole data path from the CPE ...
  • Enabling data analytics and machine learning for 5G services within disaggregated multi-layer transport networks 

    Casellas Regi, Ramón; Martínez Rivera, Ricardo Victor; Velasco Esteban, Luis Domingo; Vilalta, Ricard; Pavón Mariño, Pablo; King, Daniel; Muñoz González, Raül (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) and with applications across multiple technology domains, have gathered significant attention due, in particular, to the ...
  • Dynamic traffic grooming in Joint Switching (JoS)-enabled flex-grid/SDM optical core networks 

    Rumipamba Zambrano, Rubén Darío; Perelló Muntan, Jordi; Spadaro, Salvatore
    Conference report
    Open Access
    We propose and evaluate a dynamic traffic grooming strategy enhancing the performance of JoS-enabled Flex-Grid/SDM networks. Results disclose up to 120% and 44% additional carried network traffic vs. no grooming and existing ...
  • Study of a complete free route airspace implementation in the european airspace 

    Nava Gaxiola, Cesar; Barrado Muxí, Cristina; Royo Chic, Pablo (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference lecture
    Restricted access - publisher's policy
    Free route airspace permits users to freely plan a route between defined entry and exit waypoints, with the possibility of routing via intermediate points. Flights flying in a free route area remain subject to air traffic ...
  • Self-training by reinforcement learning for full-autonomous drones of the future 

    Kersandt, Kjell; Muñoz Ferran, Guillem; Barrado Muxí, Cristina (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Restricted access - publisher's policy
    Drones are rapidly increasing their activity in the airspace worldwide. This expected growth of the number of drones makes human-based traffic management prohibitive. Avionics systems able to sense-and-avoid obstacles ...

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