Now showing items 1-20 of 45

    • A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL 

      Jaksic, Zoran; Cadenelli, Nicola; Buchaca Prats, David; Polo Bardés, Jordà; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03-01)
      Article
      Open Access
      Conditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural ...
    • A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics 

      Berral García, Josep Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Big-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In ...
    • A resilient and distributed near real-time traffic forecasting application for Fog computing environments 

      Pérez, Juan Luis; Gutiérrez Torre, Alberto; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2018-10-01)
      Article
      Open Access
      In this paper we propose an architecture for a city-wide traffic modeling and prediction service based on the Fog Computing paradigm. The work assumes an scenario in which a number of distributed antennas receive data ...
    • A resilient and distributed near real-time traffic forecasting application for Fog computing environments 

      Pérez, Juan L.; Gutierrez-Torre, Alberto; Berral García, Josep Lluís; Carrera, David (Elsevier, 2018-10)
      Article
      Open Access
      In this paper we propose an architecture for a city-wide traffic modeling and prediction service based on the Fog Computing paradigm. The work assumes an scenario in which a number of distributed antennas receive data ...
    • Adaptive distributed mechanism againts flooding network attacks based on machine learning 

      Berral García, Josep Lluís; Poggi Mastrokalo, Nicolas; Alonso López, Javier; Gavaldà Mestre, Ricard; Torres Viñals, Jordi; Parashar, Manish (ACM Press, NY, 2008)
      Conference report
      Restricted access - publisher's policy
      Adaptive techniques based on machine learning and data mining are gaining relevance in self-management and self- defense for networks and distributed systems. In this paper, we focus on early detection and stopping of ...
    • Adaptive on-line software aging prediction based on machine learning 

      Alonso López, Javier; Torres Viñals, Jordi; Berral García, Josep Lluís; Gavaldà Mestre, Ricard (IEEE Computer Society Publications, 2010)
      Conference report
      Open Access
      The growing complexity of software systems is resulting in an increasing number of software faults. According to the literature, software faults are becoming one of the main sources of unplanned system outages, and have ...
    • Adaptive prediction models for data center resources utilization estimation 

      Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Erradi, Abdelkarim; Carrera Pérez, David (2019-12)
      Article
      Open Access
      Accurate estimation of data center resource utilization is a challenging task due to multi-tenant co-hosted applications having dynamic and time-varying workloads. Accurate estimation of future resources utilization helps ...
    • Adaptive scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2011)
      Research report
      Open Access
      Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
    • Adaptive scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (IEEE Computer Society Publications, 2011)
      Conference report
      Restricted access - publisher's policy
      Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ...
    • Adaptive sliding windows for improved estimation of data center resource utilization 

      Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-03)
      Article
      Open Access
      Accurate prediction of data center resource utilization is required for capacity planning, job scheduling, energy saving, workload placement, and load balancing to utilize the resources efficiently. However, accurately ...
    • ALOJA-ML: a framework for automating characterization and knowledge discovery in Hadoop deployments 

      Berral García, Josep Lluís; Poggi, Nicolas; Carrera Pérez, David; Call, Aaron; Reinauer, Rob; Green, Daron (Association for Computing Machinery (ACM), 2015)
      Conference report
      Open Access
      This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and performance tuning; here we detail the ...
    • ALOJA: A benchmarking and predictive platform for big data performance analysis 

      Poggi, Nicolas; Berral García, Josep Lluís; Carrera Pérez, David (Springer, 2016)
      Conference report
      Open Access
      The main goals of the ALOJA research project from BSC-MSR, are to explore and automate the characterization of cost-effectivenessof Big Data deployments. The development of the project over its first year, has resulted in ...
    • ALOJA: A framework for benchmarking and predictive analytics in Hadoop deployments 

      Berral García, Josep Lluís; Poggi Mastrokalo, Nicolas; Carrera Pérez, David; Call, Aaron; Reinauer, Rob; Green, Daron (Institute of Electrical and Electronics Engineers (IEEE), 2015-10)
      Article
      Open Access
      This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning. ALOJA is part of a long-term collaboration between BSC and ...
    • An integer linear programming representation for data-center power-aware management 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2010-11-12)
      Research report
      Open Access
      This work exposes how to represent a grid data-center based scheduling problem, taking the advantages of the virtualization and consolidation techniques, as a linear integer programming problem including all three mentioned ...
    • Automatic distributed deep learning using resource-constrained edge devices 

      Gutiérrez Torre, Alberto; Bahadori, Kiyana; Baig, Shuja-ur-Rehman; Iqbal, Waheed; Vardanega, Tullio; Berral García, Josep Lluís; Carrera Pérez, David (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Article
      Open Access
      Processing data generated at high volume and speed from the Internet of Things, smart cities, domotic, intelligent surveillance, and e-healthcare systems require efficient data processing and analytics services at the Edge ...
    • Automatic generation of workload profiles using unsupervised learning pipelines 

      Buchaca Prats, David; Berral García, Josep Lluís; Carrera Pérez, David (2017-12-27)
      Article
      Open Access
      The complexity of resource usage and power consumption on cloud-based applications makes the understanding of application behavior through expert examination difficult. The difficulty increases when applications are seen ...
    • Building green cloud services at low cost 

      Berral García, Josep Lluís; Goiri, Iñigo; Nguyen, Thu D.; Gavaldà Mestre, Ricard; Torres Viñals, Jordi; Bianchini, Ricardo (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference lecture
      Open Access
      Interest in powering datacenters at least partially using on-site renewable sources, e.g. solar or wind, has been growing. In fact, researchers have studied distributed services comprising networks of such “green” datacenters, ...
    • Clustering and graph mining techniques for classification of complex structural variations in cancer genomes 

      Gómez Sánchez, Gonzalo; Delgado Serrano, Luisa; Carrera Pérez, David; Torrents Arenales, David; Berral García, Josep Lluís (Nature, 2022-02-28)
      Article
      Open Access
      For many years, a major question in cancer genomics has been the identification of those variations that can have a functional role in cancer, and distinguish from the majority of genomic changes that have no functional ...
    • Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions 

      Villalba, Álvaro; Berral García, Josep Lluís; Carrera, David (IEEE, 2019-03-01)
      Article
      Open Access
      The fast evolution of data analytics platforms has resulted in an increasing demand for real-time data stream processing. From Internet of Things applications to the monitoring of telemetry generated in large data centers, ...
    • Constant-time sliding window framework with reduced memory footprint and efficient bulk evictions 

      Villalba Navarro, Álvaro; Berral García, Josep Lluís; Carrera Pérez, David (2019-03)
      Article
      Open Access
      The fast evolution of data analytics platforms has resulted in an increasing demand for real-time data stream processing. From Internet of Things applications to the monitoring of telemetry generated in large data centers, ...