ListarGrupos de investigación por tema "Distributed computing"

Mostrando ítems 1-7 de 7

    • Compiler support for parallel code generation through kernel recognition 

      Arenaz Silva, Manuel; Touriño, Juan; Doallo, Ramón (IEEE Computer Society, 2004-06-07)
      [Abstract] Summary form only given. The automatic parallelization of loops that contain complex computations is still a challenge for current parallelizing compilers. The main limitations are related to the analysis of ...

    • Decentralized P2P Broker for M2M and IoT Applications 

      Froiz-Míguez, Iván; Fraga-Lamas, Paula; Fernández-Caramés, Tiago M. (MDPI AG, 2020-08-20)
      [Abstract] The recent increase in the number of connected IoT devices, as well as the heterogeneity of the environments where they are deployed, has derived into the growth of the complexity of Machine-to-Machine (M2M) ...

    • Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis 

      Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI, 2018-11)
      [Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ...

    • Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis 

      Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI AG, 2018-05-03)
      [Abstract] Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be ...

    • Heterogeneous distributed computing based on high-level abstractions 

      Viñas Buceta, Moisés; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (2018)
      [Abstract]: The rise of heterogeneous systems has given place to great challenges for users as they involve new concepts, restrictions, and frameworks. Their exploitation is further complicated in the context of distributed ...

    • Network Anomaly Detection Using Machine Learning Techniques 

      Estévez Pereira, Julio Jairo; Fernández, Diego; Nóvoa, Francisco (MDPI AG, 2020-08-19)
      [Abstract] While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we ...

    • Regression Tree Based Explanation for Anomaly Detection Algorithm 

      López-Riobóo Botana, Iñigo Luis; Eiras-Franco, Carlos; Alonso-Betanzos, Amparo (MDPI AG, 2020-08-18)
      [Abstract] This work presents EADMNC (Explainable Anomaly Detection on Mixed Numerical and Categorical spaces), a novel approach to address explanation using an anomaly detection algorithm, ADMNC, which provides accurate ...