Descripción
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High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased the computational demand of Data Centers. The huge energy consumption, increasing levels of CO2 and the economic costs of these facilities represent a challenge for industry and researchers alike. Recent research trends propose the usage of holistic optimization techniques to jointly minimize Data Center computational and cooling costs from a multilevel perspective. This paper presents an analysis on the parameters needed to integrate the Data Center in a holistic optimization framework and leverages the usage of Cyber-Physical systems to gather workload, server and environmental data via software techniques and by deploying a non-intrusive Wireless Sensor Net- work (WSN). This solution tackles data sampling, retrieval and storage from a reconfigurable perspective, reducing the amount of data generated for optimization by a 68% without information loss, doubling the lifetime of the WSN nodes and allowing runtime energy minimization techniques in a real scenario. | |
Internacional
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Si |
Nombre congreso
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XVIII Conference on the Design of Circuits and Integrated Systems |
Tipo de participación
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960 |
Lugar del congreso
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San Sebastián (España) |
Revisores
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Si |
ISBN o ISSN
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978-84-8081-401-0 |
DOI
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Fecha inicio congreso
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27/11/2013 |
Fecha fin congreso
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29/11/2013 |
Desde la página
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140 |
Hasta la página
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145 |
Título de las actas
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Proceedings of the XVIII Conference on the Design of Circuits and Integrated Systems |