Now showing items 1-20 of 30

    • 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 ...
    • 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 (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 scheduling on power-aware managed data-centers using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2011)
      External 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 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)
      External 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 ...
    • 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, ...
    • 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, ...
    • Cross-stratum orchestration and flexgrid optical networks for datacenter federations 

      Velasco Esteban, Luis Domingo; Asensio Garcia, Adrian; Castro Casales, Alberto; Berral García, Josep Lluís; Carrera Pérez, David; López, Víctor; Fernández Palacios, Juan Pedro (2013-11)
      Article
      Restricted access - publisher's policy
      Current inter-data-center connections are configured as static big fat pipes, which entails large bit rate over-provisioning and thus high operational costs for DC operators. On the other hand, network operators cannot ...
    • Discovering ship navigation patterns towards environmental impact modeling 

      Gutiérrez, Alberto; Buchaca, David; Berral García, Josep Lluís (Barcelona Supercomputing Center, 2017-05-04)
      Conference report
      Open Access
      In this work a data pipe-line to manage and extract patterns from time-series is described. The patterns found with a combination of Conditional Restricted Boltzmann Machine (CRBM) and k-Means algorithms are then validated ...
    • Empowering automatic data-center management with machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      External research report
      Open Access
      The Cloud as computing paradigm has become nowadays crucial for most Internet business models. Managing a cloud and optimizing its performance on a moment-by-moment basis is not easy given as the amount and diversity of ...
    • Empowering automatic data-center management with machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Conference lecture
      Restricted access - publisher's policy
      The Cloud as computing paradigm has become nowadays crucial for most Internet business models. Managing and optimizing its performance on a moment-by-moment basis is not easy given as the amount and diversity of elements ...
    • Energy-aware scheduling in virtualized datacenters 

      Goiri Presa, Íñigo; Julià Massó, Ferran; Nou Castell, Ramon; Berral García, Josep Lluís; Guitart Fernández, Jordi; Torres Viñals, Jordi (IEEE Computer Society Publications, 2010)
      Conference report
      Open Access
      The reduction of energy consumption in large-scale datacenters is being accomplished through an extensive use of virtualization, which enables the consolidation of multiple workloads in a smaller number of machines. ...