Ara es mostren els items 1-20 de 117

  • Accelerating Hash-Based Query Processing Operations on FPGAs by a Hash Table Caching Technique 

    Salami, Behzad; Arcas-Abella, Oriol; Sonmez, Nehir; Unsal, Osman; Cristal, Adrian (Springer International Publishing, 2017-04-29)
    Comunicació de congrés
    Accés obert
    Extracting valuable information from the rapidly growing field of Big Data faces serious performance constraints, especially in the software-based database management systems (DBMS). In a query processing system, hash-based ...
  • A general guide to applying machine learning to computer architecture 

    Nemirovsky, Daniel; Arkose, Tugberk; Markovic, Nikola; Nemirovsky, Mario; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Valero Cortés, Mateo (2018)
    Article
    Accés obert
    The resurgence of machine learning since the late 1990s has been enabled by significant advances in computing performance and the growth of big data. The ability of these algorithms to detect complex patterns in data which ...
  • 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 ...
  • A methodology for Spark parameter tuning 

    Gounaris, Anastasios; Torres Viñals, Jordi (2017-05-19)
    Article
    Accés restringit per política de l'editorial
    Spark has been established as an attractive platform for big data analysis, since it manages to hide most of the complexities related to parallelism, fault tolerance and cluster setting from developers. However, this comes ...
  • Anàlisi d'arxius Big Data aplicant mostreig 

    Moragues Cabanes, Marta (Universitat Politècnica de Catalunya, 2015-01-20)
    Projecte/Treball Final de Carrera
    Accés obert
    El projecte és un estudi sobre l'optimitzacó dels recursos, cost i temps d'execució d'un job de Hadoop mitjançant la implementació de tècniques de sampling.
  • Anàlisi del comerç en línia a partir de l'estudi del client i les seves valoracions 

    Villalobos Guiral, Albert (Universitat Politècnica de Catalunya, 2017-06)
    Treball Final de Grau
    Accés restringit per acord de confidencialitat
  • Análisis de ventajas en el uso de una BDD noSQL para un sistema de Monitorización y Trazabilidad de Operaciones de Negocio 

    García Calatrava, Carlos (Universitat Politècnica de Catalunya, 2015-06)
    Treball Final de Grau
    Accés restringit per acord de confidencialitat
    [CATALÀ] La empresa en la que se realiza posee un sistema de monitorización, el cual recibe feedback de todo lo que sucede en los demás sistemas. Dicho sistema se implementó con una base de datos relacional. En este proyecto ...
  • An analysis of Bicing mobility patterns using big data 

    Manchón Contreras, Oriol (Universitat Politècnica de Catalunya, 2016-06-23)
    Projecte Final de Màster Oficial
    Accés obert
    Nowadays, technology advances really fast and so does the generation of data. Almost all electronic devices are constantly generating and sharing a huge amount of data through the World Wide Web. Moreover, recent policies ...
  • A new reliability-based data-driven approach to simulation-based models 

    Ayensa Jiménez, Jacobo; Doweidar, Mohamed Hamdy; Doblaré Castellano, Manuel (Barcelona Supercomputing Center, 2017-05-04)
    Text en actes de congrés
    Accés obert
    Data Science has burst into simulation-based en-gineering sciences with an impressive impulse. However, data are never uncertainty-free and a suitable approach is needed to face data measurement errors and their intrinsic ...
  • An integration-oriented ontology to govern evolution in big data ecosystems 

    Nadal Francesch, Sergi; Romero Moral, Óscar; Abelló Gamazo, Alberto; Vassiliadis, Panos; Vansummeren, Stijn (CEUR-WS.org, 2017)
    Comunicació de congrés
    Accés obert
    Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in its original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving, ...
  • An integration-oriented ontology to govern evolution in big data ecosystems 

    Nadal Francesch, Sergi; Romero Moral, Óscar; Abelló Gamazo, Alberto; Vassiliadis, Panos; Vansummeren, Stijn (2018-02-02)
    Article
    Accés restringit per política de l'editorial
    Big Data architectures allow to flexibly store and process heterogeneous data, from multiple sources, in their original format. The structure of those data, commonly supplied by means of REST APIs, is continuously evolving. ...
  • Apache Mahout’s k-Means vs. fuzzy k-Means performance evaluation 

    Xhafa Xhafa, Fatos; Bogza, Adriana; Caballé Llobet, Santiago; Barolli, Leonard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés obert
    The emergence of the Big Data as a disruptive technology for next generation of intelligent systems, has brought many issues of how to extract and make use of the knowledge obtained from the data within short times, limited ...
  • Aplicación web para la gestión de información en materia de seguridad en una corporación 

    Valentí Mañé, Marcos (Universitat Politècnica de Catalunya, 2016-10-26)
    Treball Final de Grau
    Accés restringit per acord de confidencialitat
    Trabajo Final de Grado realizado en Abertis Infraestructuras S.A., una gran empresa conocida por la concesión de autopista en diversos países. Se ha desarrollado una aplicación web para la gestión de la información tratada ...
  • 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)
    Text en actes de congrés
    Accés obert
    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 scalable synthetic traffic model of Graph500 for computer networks analysis 

    Fuentes Sáez, Pablo; Benito, Mariano; Vallejo, Enrique; Bosque Orero, José Luis; Beivide Palacio, Ramon; Anghel, Andreea; Rodríguez Herrera, Germán; Gusat, Mitch; Minkenberg, Cyriel; Valero Cortés, Mateo (2017-12-25)
    Article
    Accés obert
    The Graph500 benchmark attempts to steer the design of High-Performance Computing systems to maximize the performance under memory-constricted application workloads. A realistic simulation of such benchmarks for architectural ...
  • A software reference architecture for semantic-aware big data systems 

    Nadal Francesch, Sergi; Herrero Otal, Víctor; Romero Moral, Óscar; Abelló Gamazo, Alberto; Franch Gutiérrez, Javier; Vansummeren, Stijn; Valerio, Danilo (2016-06-13)
    Article
    Accés obert
    Context: Big Data systems are a class of software systems that ingest, store, process and serve massive amounts of heterogeneous data, from multiple sources. Despite their undisputed impact in current society, their ...
  • Atnight project, designing the nocturnal landscape collectively 

    Martinez-Diez, Pablo; Santamaria Varas, Mar (2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
  • Automatic query driven data modelling in cassandra 

    Hernández, Roger; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Elsevier, 2015)
    Text en actes de congrés
    Accés obert
    Non-relational databases have recently been the preferred choice when it comes to dealing with BigData challenges, but their performance is very sensitive to the chosen data organisations. We have seen differences of over ...