Published September 2, 2019 | Version v1
Preprint Open

Towards a Methodology for Evaluating Big Data Platforms

  • 1. School of Computer Science, The University of Manchester, Manchester, UK
  • 2. Faculty of Civil and Geodetic Engineering University of Ljubljana, Slovenia

Description

In recent years, several new multipurpose Big Data platforms have emerged. They are used in various application domains with diverse requirements. Evaluating complex Big Data solutions is not a trivial task, due to the need to assess their utility in both quantitative and qualitative terms based on existing use cases. In this short paper, we discuss the requirements and the methodology for such an evaluation. We also discuss how benchmarking could be part of such an evaluation methodology.

Notes

preprint of a concise paper accepted in the IEEE World Congress on Services (https://conferences.computer.org/services/2019/)

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EvaluatingBDPlatfroms.pdf

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Additional details

Funding

I-BiDaaS – Industrial-Driven Big Data as a Self-Service Solution 780787
European Commission