Ara es mostren els items 1-20 de 60

    • 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
      Accés obert
      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 hybrid web server architecture for secure e-business web applications 

      Beltran Querol, Vicenç; Carrera Pérez, David; Guitart Fernández, Jordi; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2005-09)
      Article
      Accés restringit per política de l'editorial
      Nowadays the success of many e-commerce applications, such as on-line banking, depends on their reliability, robustness and security. Designing a web server architecture that keeps these properties under high loads is a ...
    • 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
      Accés obert
      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 ...
    • Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory 

      Cadenelli, Nicola; Polo Cantero, José; Carrera Pérez, David (2018)
      Text en actes de congrés
      Accés obert
      The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its ...
    • Adaptive execution environments for application servers 

      Carrera Pérez, David (Universitat Politècnica de Catalunya, 2008-07-08)
      Tesi
      Accés obert
      El creixement experimentat tant per la web com per Internet en els últims anys ha potenciat l'introducció de servidors d'aplicacions dins de la majoria d'entorns d'execució distribuits. El servidors d'aplicacions web porten ...
    • Adaptive MapReduce scheduling in shared environments 

      Polo Bardés, Jordà; Becerra Fontal, Yolanda; Carrera Pérez, David; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Steinder, Malgorzata (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés obert
      In this paper we present a MapReduce task scheduler for shared environments in which MapReduce is executed along with other resource-consuming workloads, such as transactional applications. All workloads may potentially ...
    • 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
      Accés obert
      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 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
      Accés obert
      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)
      Text en actes de congrés
      Accés obert
      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)
      Text en actes de congrés
      Accés obert
      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
      Accés obert
      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 ...
    • ALOJA: a systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness 

      Poggi Mastrokalo, Nicolas; Carrera Pérez, David; Call, Aaron; Mendoza, Sergio; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Gagliardi, Fabrizio; Labarta Mancho, Jesús José; Reinauer, Rob; Vujic, Nikola; Green, Daron; Blakeley, Jose (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Text en actes de congrés
      Accés obert
      This article presents the ALOJA project, an initiative to produce mechanisms for an automated characterization of cost-effectiveness of Hadoop deployments and reports its initial results. ALOJA is the latest phase of a ...
    • An instrumentation tool for threaded Java application servers 

      Carrera Pérez, David; Guitart Fernández, Jordi; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Universitat de Lleida, 2002)
      Text en actes de congrés
      Accés obert
      Rapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java ...
    • 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), 2022-08-15)
      Article
      Accés obert
      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
      Accés obert
      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 ...
    • Batch job profiling and adaptive profile enforcement for virtualized environments 

      Becerra Fontal, Yolanda; Carrera Pérez, David; Ayguadé Parra, Eduard (IEEE Computer Society, 2009)
      Comunicació de congrés
      Accés obert
      Data center management is driven by high-level performance goals, and it is the responsibility of a management middleware to ensure that those goals are met using dynamic resource allocation. The performance delivered by ...
    • BSC contributions in energy-aware resource management for large scale distributed systems 

      Valero Cortés, Mateo; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Carrera Pérez, David; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Becerra Fontal, Yolanda; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2010)
      Text en actes de congrés
      Accés obert
      This paper introduces the work being carried out at Barcelona Supercomputing Center in the area of Green Computing. We have been working in resource management for a long time and recently we included the energy parameter ...
    • Burst-aware predictive autoscaling for containerized microservices 

      Abdullah, Muhammad; Iqbal, Waheed; Berral García, Josep Lluís; Polo Bardés, Jorda; Carrera Pérez, David (2022-05-01)
      Article
      Accés obert
      Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts ...
    • Business process mining from e-commerce web logs 

      Poggi Mastrokalo, Nicolas; Muthusamy, Vinod; Carrera Pérez, David; Khalaf, Rania (Springer, 2013)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The dynamic nature of the Web and its increasing importance as an economic platform create the need of new methods and tools for business efficiency. Current Web analytic tools do not provide the necessary abstracted view ...
    • CellMT: A cooperative multithreading library for the Cell/B.E. 

      Beltran Querol, Vicenç; Carrera Pérez, David; Torres Viñals, Jordi; Ayguadé Parra, Eduard (IEEE Computer Society Publications, 2009-12-16)
      Text en actes de congrés
      Accés obert
      The Cell BE processor has proved that heterogeneous multi-core systems can provide a huge computational power with high efficiency for a wide range of applications. The simple design of the computational units and the use ...