A Novel Framework for Data Center Metrics using a Multidimensional Approach

• Moises Levy ^[1] ; Daniel Raviv ^[1]
  1. [1] Florida Atlantic University

     Florida Atlantic University

     Estados Unidos

     
• Localización: Global Partnerships for Development and Engineering Education: Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education and Technology,July 19-21, 2017, Boca Raton, FL, United States / Victor Hugo Gonzalez Jaramillo (dir.), Pedro Fabricio Zanzzi Diaz (dir.), Rudy Altamirano Zambrano (dir.), Gissela Ganchozo Ortega (aut.), 2017, ISBN 978-0-9993443-0-9
• Idioma: inglés
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• Resumen

  • Given the mission critical nature of data centers, metrics must provide a holistic understanding of the data center behavior. After thoroughly reviewing existing data center metrics, this paper proposes a novel framework for more accurate metrics for data centers using a multidimensional approach. Performance is examined across four different sub-dimensions: productivity, efficiency, sustainability, and operations. Risk specifically associated with each of those sub-dimensions is contemplated. External risks are also considered independently of performance, namely location risk, global risks and site infrastructure risk.