Recent Submissions

  • Multi-vehicle route planning for efficient urban freight transport 

    Mrazovic, Petar; Eser, Elif; Ferhatosmanoglu, Hakan; Larriba Pey, Josep; Matskin, Mihhail (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    The urban parking spaces for loading/unloading are typically over-occupied, which shifts delivery operations to traffic lanes and pavements, increases traffic, generates noise, and causes pollution. We present a data ...
  • Guidelines to SLA modeling and establishment in heterogeneous communications networks 

    Akbari-Moghanjoughi, Ayyoub; Santos Boada, Germán; Solé Pareta, Josep; Almeida Amazonas, José Roberto de (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    The question of how to specify, provide and measure service quality for network end-users has been of utmost interest for service and network infrastructure providers and their clients as well. The Service Level Agreement ...
  • Improving performance of QUIC in WiFi 

    Manzoor, Jawad; Cerdà Alabern, Llorenç; Sadre, Ramin; Drago, Idilio (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    QUIC is a new transport protocol under standardization since 2016. Initially developed by Google as an experiment, the protocol is already deployed in large-scale, thanks to its support in Chromium and Google's servers. ...
  • On the benefits of tasking with OpenMP 

    Rico, Alejandro; Sánchez Barrera, Isaac; Joao, Jose A.; Randall, Joshua; Casas, Marc; Moreto Planas, Miquel (Springer, 2019)
    Conference report
    Restricted access - publisher's policy
    Tasking promises a model to program parallel applications that provides intuitive semantics. In the case of tasks with dependences, it also promises better load balancing by removing global synchronizations (barriers), and ...
  • Identifying the sources of flight inefficiency from historical aircraft trajectories. A set of distance- and fuel-based performance indicators for post-operational analysis. 

    Prats Menéndez, Xavier; Dalmau Codina, Ramon; Barrado Muxí, Cristina (2019)
    Conference report
    Open Access
    In this paper a set of new performance indicators (PIs) aiming to capture the environmental impact of aircraft operations is proposed. Its contribution is threefold: optimal trajectories are computed to compare them with ...
  • Out-of-field generic ML training with in-field specific adaptation to facilitate ML deployments 

    Shariati, Mohammad Behnam; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    A two-phase strategy to facilitate ML algorithm deployment in real networks is demonstrated: out-of-field training uses data from simulation and testbed experiments with generic equipment whereas in-field adaptation is ...
  • Optical signal tracking for robust PAM4 deployment in filterless metro network scenarios 

    Shariati, Mohammad Behnam; Fresi, Francesco; Ruiz Ramírez, Marc; Cugini, Filippo; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Highly accurate and reliable optical signal tracking is proposed that estimates sub-GHz laser drift failures by analyzing spectra acquired by cost-effective coarse-granular OSAs. Its application on PAM4 systems in filterless ...
  • Self-learning approaches for real optical networks 

    Ruiz Ramírez, Marc; Boitier, Fabien; Layec, Patricia; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Self-learning approaches to facilitate the deployment of ML algorithms in real networks are analyzed and their performance evaluated through an illustrative use case. Results show large benefits of collective self-learning ...
  • Fault management based on machine learning 

    Velasco Esteban, Luis Domingo; Rafique, Danish (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Machine Learning (ML) brings many benefits for network operation. In this paper, basic ML concepts and its integration into existing network control and management planes are reviewed. Case studies covering fault management ...
  • Rendering elimination: early discard of redundant tiles in the graphics pipeline 

    Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; Aragón, Juan Luis; Marcuello Pascual, Pedro; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Restricted access - publisher's policy
    GPUs are one of the most energy-consuming components for real-time rendering applications, since a large number of fragment shading computations and memory accesses are involved. Main memory bandwidth is especially taxing ...
  • Early visibility resolution for removing ineffectual computations in the graphics pipeline 

    Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; Aragón Alcaraz, Juan Luis; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Restricted access - publisher's policy
    GPUs' main workload is real-time image rendering. These applications take a description of a (animated) scene and produce the corresponding image(s). An image is rendered by computing the colors of all its pixels. It is ...
  • Accelerating hyperparameter optimisation with PyCOMPSs 

    Kahira, Albert Njoroge; Bautista Gomez, Leonardo Arturo; Conejero, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    Machine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) ...

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