Now showing items 1-3 of 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)
      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 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 ...
    • 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)
      Conference report
      Open Access
      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 ...