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Salinas Hilburg, Juan Carlos and Zapater Sancho, Marina and Risco Martín, José Luis and Moya Fernández, José Manuel and Ayala Rodrigo, José Luis (2015). Using grammatical evolution techniques to model the dynamic power consumption of enterprise servers. In: "Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2015)", 08/07/2015 - 10/07/2015, Blumenau, Brasil. pp. 110-117. https://doi.org/10.1109/CISIS.2015.16.
Title: | Using grammatical evolution techniques to model the dynamic power consumption of enterprise servers |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2015) |
Event Dates: | 08/07/2015 - 10/07/2015 |
Event Location: | Blumenau, Brasil |
Title of Book: | Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2015) |
Date: | 2015 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Ingeniería Electrónica |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The increasing demand for computational resources has led to a significant growth of data center facilities. A major concern has appeared regarding energy efficiency and consumption in servers and data centers. The use of flexible and scalable server power models is a must in order to enable proactive energy optimization strategies. This paper proposes the use of Evolutionary Computation to obtain a model for server dynamic power consumption. To accomplish this, we collect a significant number of server performance counters for a wide range of sequential and parallel applications, and obtain a model via Genetic Programming techniques. Our methodology enables the unsupervised generation of models for arbitrary server architectures, in a way that is robust to the type of application being executed in the server. With our generated models, we are able to predict the overall server power consumption for arbitrary workloads, outperforming previous approaches in the state-of-the-art.
Type | Code | Acronym | Leader | Title |
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Government of Spain | IPT-2012-1041-430000 | Unspecified | Unspecified | Gestión óptima de modos de bajo consumo en cloud computing. Acrónimo |
Government of Spain | RTC-2014-2717-3 | Unspecified | Unspecified | OPTIMIZACIÓN ENERGÉTICA DE CENTROS DE DATOS DE INFRAESTRUCTURAS CLOUD BASADAS EN OPENSTACK |
Government of Spain | TEC-2012-33892 | Unspecified | Unspecified | TECNOLOGIAS HW/SW PARA LA EFICIENCIA ENERGETICA EN SISTEMAS DE COMPUTACION DISTRIBUIDOS |
Item ID: | 42753 |
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DC Identifier: | http://oa.upm.es/42753/ |
OAI Identifier: | oai:oa.upm.es:42753 |
DOI: | 10.1109/CISIS.2015.16 |
Deposited by: | Memoria Investigacion |
Deposited on: | 16 Jul 2016 09:34 |
Last Modified: | 16 Jul 2016 09:34 |