Recent Submissions

  • 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 ...
  • 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 ...
  • Planning and operational energy optimization solutions for smart buildings 

    Sembroiz Ausejo, David; Careglio, Davide; Ricciardi, Sergio; Fiore, Ugo (2019-02)
    Article
    Open Access
    The incremented popularity of Internet of Things (IoT), thanks to improvements both in hardware and software of sensors over the last years, enables the possibility to monitor and gather any kind of data. Additionally, the ...
  • Intelligent colocation of HPC workloads 

    Vieira Zacarias, Felippe; Petrucci, Vinicius; Nishtala, Rajiv; Carpenter, Paul; Mossé, Daniel (Elsevier, 2021-05)
    Article
    Restricted access - publisher's policy
    Many server applications suffer from a bottleneck in the shared caches, instruction execution units, I/O or memory bandwidth, even though the remaining resources may be underutilized. It is hard for developers and runtime ...
  • You only run once: Spark auto-tuning from a single run 

    Buchaca Prats, David; Albuquerque Portella, Felipe; Costa, Carlos H. A.; Berral García, Josep Lluís (2020-12)
    Article
    Open Access
    Tuning configurations of Spark jobs is not a trivial task. State-of-the-art auto-tuning systems are based on iteratively running workloads with different configurations. During the optimization process, the relevant features ...
  • Design and assessment of FM-MCFs-suited SDM-ROADMs with versatile spatial group configurations and unified QoT estimator 

    Rumipamba Zambrano, Rubén Darío; Muñoz González, Raül; Casellas Regi, Ramon; Perelló Muntan, Jordi; Spadaro, Salvatore; Elfiqi, Abdulaziz E. (Institute of Electrical and Electronics Engineers (IEEE), 2020-11-15)
    Article
    Open Access
    In this article, we focus on the design of different node architectures suitable for few-mode multi-core fibers (FMMCFs) based networks. Both dimensions, core and mode, open different possible ways to group spatial channels ...
  • Deep neural networks for earthquake detection and source region estimation in north-central Venezuela 

    Tous Liesa, Rubén; Alvarado Bermúdez, Leonardo; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Rojas Ulacio, Otilio (2020-10-01)
    Article
    Open Access
    Reliable earthquake detection algorithms are necessary to properly analyze and catalog the continuously growing seismic records. We report the results of applying a deep convolutional neural network, called UPC‐UCV ...
  • GMAI: Understanding and exploiting the internals of GPU resource allocation in critical systems 

    Calderón Torres, Alejandro Josué; Kosmidis, Leonidas; Nicolás Ramírez, Carlos Fernando; Cazorla Almeida, Francisco Javier; Onaindia, Peio (2020-09)
    Article
    Open Access
    Critical real-time systems require strict resource provisioning in terms of memory and timing. The constant need for higher performance in these systems has led industry to recently include GPUs. However, GPU software ...

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