A Novel Framework for Data Center Metrics using a Multidimensional Approach


A Novel Framework for Data Center Metrics using a Multidimensional Approach
Published in:	Global Partnerships for Development and Engineering Education: Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference:	July 19-21, 2017
Location of Conference:	Boca Raton, FL, United States
Authors:	Moises Levy, MS. (Florida Atlantic University, US) Daniel Raviv, PhD. (Florida Atlantic University, US)
Full Paper:	#387

Abstract: 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.