Usage centric green performance indicators
| Autor: | Dmitry Sotnikov, Monica Vitali, Tao Jiang, Ealan Henis, Barbara Pernici, Alexandre Ferreira, Cinzia Cappiello, Ronen I. Kat, Doron Chen, Alexander Kipp, Jia Liu |
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| Rok vydání: | 2011 |
| Předmět: |
carbon footprint
Computer Networks and Communications business.industry Computer science Real-time computing power consumption Energy consumption Environmental economics energy benchmarks KPIs GPIs energy efficiency Resource (project management) Hardware and Architecture Power usage effectiveness Carbon footprint Data center Performance indicator business Software Energy (signal processing) |
| Zdroj: | Politecnico di Milano-IRIS |
| ISSN: | 0163-5999 |
| DOI: | 10.1145/2160803.2160868 |
| Popis: | Energy effciency of data centers is gaining importance as energy consumption and carbon footprint awareness are rising. Green Performance Indicators (GPIs) provide measurable means to assess the energy effciency of a resource or system. Most of the metrics commonly used today measure the energy effciency potential of a resource, system or application usage, rather than the energy effciency of the actual usage. In this paper, we argue that the way that the resources and systems are actually used in a given data center configuration is at least as important as the effciency potential of the raw resources or systems. Hence, for data center energy effciency, we suggest to both select energy effcient components (as done today), as well as optimize the actual usage of the components and systems in the data center. To achieve the latter, optimization of usage centric GPI metrics should be employed and targeted as a primary green goal. In this paper we identify and present usage centric metrics, which should be monitored and optimized for improving energy effciency, and hence, reduce the data center carbon footprint. |
| Databáze: | OpenAIRE |
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