Data center performance comparison framework based on biomimicry
Mutua, Phoebe (2018)
School of Business and Management, Tietotekniikka
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The increase and demand for fast, efficient data processing and storage services coupled with the high energy usage necessitate the need for changes in the design and operations of the data center for improved performance. To efficiently appraise data centers, all the components that make up the data center must be examined. There are numerous data center metrics available today which can be categorized into energy efficiency metrics, green metrics, cooling metrics, performance metrics, storage metrics, network metrics, security metrics and financial metrics. Therefore, this study focuses on analyzing data centers sustainability with respect to nature laws and showcasing in a simple understandable manner, the holistic global view of their performance which is beneficial for continuous improvements and informed decision making for future scaling of services.