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Hadoop on a Low-Budget General Purpose HPC Cluster in Academia

  • Paolo GarzaEmail author
  • Paolo Margara
  • Nicolò Nepote
  • Luigi Grimaudo
  • Elio Piccolo
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 241)

Abstract

In the last decade, we witnessed an increasing interest in High Performance Computing (HPC) infrastructures, which play an important role in both academic and industrial research projects. At the same time, due to the increasing amount of available data, we also witnessed the introduction of new frameworks and applications based on the MapReduce paradigm (e.g., Hadoop). Traditional HPC systems are usually designed for CPU- and memory-intensive applications. However, the use of already available HPC infrastructures for data-intensive applications is an interesting topic, in particular in academia where the budget is usually limited and the same cluster is used by many researchers with different requirements. In this paper, we investigate the integration of Hadoop, and its performance, in an already existing low-budget general purpose HPC cluster characterized by heterogeneous nodes and a low amount of secondary memory per node.

Keywords

HPC Hadoop MapReduce MPI applications 

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References

  1. 1.
    Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)CrossRefGoogle Scholar
  2. 2.
    Della Croce, F., Piccolo, E., Nepote, N.: A terascale, cost-effective open solution for academic computing: early experience of the dauin hpc initiative. In: AICA 2011, pp. 1–9 (2011)Google Scholar
  3. 3.
    Dongarra, J.: Trends in high performance computing: a historical overview and examination of future developments. IEEE Circuits and Devices Magazine 22(1), 22–27 (2006)CrossRefGoogle Scholar
  4. 4.
  5. 5.
    Nepote, N., Piccolo, E., Demartini, C., Montuschi, P.: Why and how using HPC in university teaching? a case study at polito. In: DIDAMATICA 2013, pp. 1019–1028 (2013)Google Scholar
  6. 6.
    White, T.: Hadoop: The Definitive Guide, 1st edn. O’Reilly Media, Inc. (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paolo Garza
    • 1
    Email author
  • Paolo Margara
    • 1
  • Nicolò Nepote
    • 1
  • Luigi Grimaudo
    • 1
  • Elio Piccolo
    • 1
  1. 1.Dipartimento di Automatica e InformaticaPolitecnico di TorinoTorinoItaly

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