PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud

  • Jaume Ferrarons
  • Mulu Adhana
  • Carlos Colmenares
  • Sandra Pietrowska
  • Fadila Bentayeb
  • Jérôme Darmont
Conference paper

DOI: 10.1007/978-3-319-04936-6_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8391)
Cite this paper as:
Ferrarons J., Adhana M., Colmenares C., Pietrowska S., Bentayeb F., Darmont J. (2014) PRIMEBALL: A Parallel Processing Framework Benchmark for Big Data Applications in the Cloud. In: Nambiar R., Poess M. (eds) Performance Characterization and Benchmarking. TPCTC 2013. Lecture Notes in Computer Science, vol 8391. Springer, Cham

Abstract

In this position paper, we draw the specifications for a novel benchmark for comparing parallel processing frameworks in the context of big data applications hosted in the cloud. We aim at filling several gaps in already existing cloud data processing benchmarks, which lack a real-life context for their processes, thus losing relevance when trying to assess performance for real applications. Hence, we propose a fictitious news site hosted in the cloud that is to be managed by the framework under analysis, together with several objective use case scenarios and measures for evaluating system performance. The main strengths of our benchmark definition are parallelization capabilities supporting cloud features and big data properties.

Keywords

Benchmark Cloud Computing Parallel Processing Framework Big Data Real Data 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jaume Ferrarons
    • 1
  • Mulu Adhana
    • 1
  • Carlos Colmenares
    • 1
  • Sandra Pietrowska
    • 1
  • Fadila Bentayeb
    • 1
  • Jérôme Darmont
    • 1
  1. 1.Université de Lyon (Laboratoire ERIC) Université Lumière Lyon 2Bron CedexFrance

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