Exploració per autor "Reinauer, Rob"

Ara es mostren els items 1-3 de 3

    • 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 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 ...