@article{Levy2018, author = {Moises Levy and Daniel Raviv}, title = {An Overview of Data Center Metrics and a Novel Approach for a New Family of Metrics}, journal = {Advances in Science, Technology and Engineering Systems Journal}, year = {2018}, volume = {3}, number = {2}, pages = {238–251}, doi = {10.25046/aj030228}, url = {https://www.astesj.com/v03/i02/p28/}, language = {en}, publisher = {ASTES Publishers}, abstract = {

Data centers’ mission critical nature, significant power consumption, and increasing reliance on them for digital information, have created an urgent need to monitor and adequately manage these facilities. Metrics are a key part of this effort as their indicators raise flags that lead to optimization of resource utilization. A thorough review of existing data center metrics presented in this paper shows that while existing metrics are valuable, they overlook important aspects. New metrics should enable a holistic understanding of the data center behavior. This paper proposes a novel framework using a multidimensional approach for a new family of data center metrics. Performance is examined across four different sub-dimensions: productivity, efficiency, sustainability, and operations. Risk associated with each of those sub-dimensions is contemplated. External risks are introduced, namely site risk, as another dimension of the metrics, and makes reference to a methodology that explains how it is calculated. Results from metrics across all sub-dimensions can be normalized to the same scale and incorporated in one graph, which simplifies visualization and reporting. The new family of data center metrics can help to standardize a process that evolves into a best practice to help evaluate data centers, to compare them to each other, and to improve the decision-making process.

}, keywords = {Data center, Mission critical, Metric, Measurement, Performance, Efficiency, Productivity, Sustainability, Operations, Infrastructure, Management, Risk, Site} }