Ara es mostren els items 38-53 de 53

    • Modeling cloud resources using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Report de recerca
      Accés obert
      Cloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned ...
    • Multifaceted resource management for dealing with heterogeneous workloads in virtualized data centers 

      Goiri Presa, Íñigo; Fitó, Josep Oriol; Julià Masso, Ferran; Nou Castell, Ramon; Berral García, Josep Lluís; Guitart Fernández, Jordi; Torres Viñals, Jordi (IEEE Computer Society Publications, 2010)
      Comunicació de congrés
      Accés obert
      As long as virtualization has been introduced in data centers, it has been opening new chances for resource management. Now, it is not just used as a tool for consolidating underused nodes and save power, it also allows ...
    • Power-aware multi-data center management using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Text en actes de congrés
      Accés obert
      The cloud relies upon multi-datacenter (multi-DC) infrastructures distributed along the world, where people and enterprises pay for resources to offer their web-services to worldwide clients. Intelligent management is ...
    • Proactive container auto-scaling for cloud native machine learning services 

      Buchaca Prats, David; Berral García, Josep Lluís; Wang, Chen; Youssef, Alaa (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Comunicació de congrés
      Accés obert
      Understanding the resource usage behaviors of the ever-increasing machine learning workloads are critical to cloud providers offering Machine Learning (ML) services. Capable of auto-scaling resources for customer workloads ...
    • Real-time data center's telemetry reduction and reconstruction using Markov chain models 

      Baig, Shuja-ur-Rehman; Iqbal, Waheed; Berral García, Josep Lluís; Erradi, Abdelkarim; Carrera Pérez, David (2019-12)
      Article
      Accés obert
      Large-scale data centers are composed of thousands of servers organized in interconnected racks to offer services to users. These data centers continuously generate large amounts of telemetry data streams (e.g., hardware ...
    • Sequence-to-sequence models for workload interference prediction on batch processing datacenters 

      Buchaca Prats, David; Marcual Medina, Joan; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2020-09)
      Article
      Accés obert
      Co-scheduling of jobs in data centers is a challenging scenario where jobs can compete for resources, leading to severe slowdowns or failed executions. Efficient job placement on environments where resources are shared ...
    • The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography 

      Lazic, Ivan; Agulló López, Ferran; Aussó Trias, Susanna; Alves, Bruno; Barelle, Caroline; Berral García, Josep Lluís; Bizopoulos, Paschalis; Bunduc, Oana; Gutiérrez Torre, Alberto (Multidisciplinary Digital Publishing Institute, 2022-08-31)
      Article
      Accés obert
      Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ...
    • The state of SQL-on-Hadoop in the cloud 

      Poggi, Nicolas; Berral García, Josep Lluís; Fenech, Thomas; Carrera Pérez, David; Blakeley, Jose; Minhas, Umar F.; Vujic, Nikola (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Text en actes de congrés
      Accés obert
      Managed Hadoop in the cloud, especially SQL-on-Hadoop, has been gaining attention recently. On Platform-as-a-Service (PaaS), analytical services like Hive and Spark come preconfigured for general-purpose and ready to use. ...
    • Theta-Scan: Leveraging behavior-driven forecasting for vertical auto-scaling in container cloud 

      Berral García, Josep Lluís; Buchaca Prats, David; Herron Mulet, Claudia; Wang, Chen; Youssef, Alaa (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      Detection of behavior patterns on resource usage in containerized Cloud applications is necessary for proper resource provisioning. Applications can use CPU/Memory with repetitive patterns, following a trend over time ...
    • Towards a carrier SDN: an example for elastic inter-datacenter connectivity 

      Velasco Esteban, Luis Domingo; Berral García, Josep Lluís; Asensio Garcia, Adrian; Castro Casales, Alberto; López, Víctor (2013)
      Text en actes de congrés
      Accés obert
      We propose a network-driven transfer mode for cloud operations in a step towards a carrier SDN. Inter-datacenter connectivity is requested in terms of volume of data and completion time. The SDN controller translates and ...
    • Towards automatic model specialization for edge video analytics 

      Rivas Barragan, Daniel; Guim Bernat, Francesc; Polo Bardés, Jorda; Silva, Pubudu Madhawa; Berral García, Josep Lluís; Carrera Pérez, David (Elsevier, 2022-09)
      Article
      Accés obert
      The number of cameras deployed to the edge of the network increases by the day, while emerging use cases, such as smart cities or autonomous driving, also grow to expect images to be analyzed in real-time by increasingly ...
    • Towards energy-aware scheduling in data centers using machine learning 

      Berral García, Josep Lluís; Goiri Presa, Íñigo; Nou Castell, Ramon; Julià, Ferran; Guitart Fernández, Jordi; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2010-04-15)
      Text en actes de congrés
      Accés obert
      As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to nd better and more efficient power-aware resource ...
    • TunaOil: A tuning algorithm strategy for reservoir simulation workloads 

      Albuquerque Portella, Felipe; Buchaca Prats, David; Rodrigues, José Roberto; Berral García, Josep Lluís (Elsevier, 2022-09)
      Article
      Accés restringit per política de l'editorial
      Reservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical ...
    • Tunaoil: a tuning algorithm strategy for reservoir simulation workloads 

      Portella, Felipe; Berral García, Josep Lluís (Barcelona Supercomputing Center, 2021-05)
      Text en actes de congrés
      Accés obert
      The state-of-the-art techniques to tune the numerical parameters of reservoir simulators are based on running numerous simulations, specific for that purpose, to find good candidates. As the simulations for real petroleum ...
    • When and How to Apply Statistics, Machine Learning and Deep Learning Techniques 

      Berral García, Josep Lluís (IEEE, 2018-09-21)
      Comunicació de congrés
      Accés obert
      Machine Learning has become 'commodity' in engineering and experimental sciences, as calculus and statistics did before. After the hype produced during the 00's, machine learning (statistical learning, neural networks, ...
    • 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
      Accés obert
      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 ...