Descripción
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Nowadays, data centers consume about 2\% of the worldwide energy production, originating more than 43 million tons of {CO2} per year. Cloud providers need to implement an energy-efficient management of physical resources in order to meet the growing demand for their services and ensure minimal costs. From the application-framework viewpoint, Cloud workloads present additional restrictions as 24/7 availability, and {SLA} constraints among others. Also, workload variation impacts on the performance of two of the main strategies for energy-efficiency in Cloud data centers: Dynamic Voltage and Frequency Scaling ({DVFS}) and Consolidation. Our work proposes two contributions: 1) a {DVFS} policy that takes into account the trade-offs between energy consumption and performance degradation; 2) a novel consolidation algorithm that is aware of the frequency that would be necessary when allocating a Cloud workload in order to maintain {QoS}. Our results demonstrate that including {DVFS} awareness in workload management provides substantial energy savings of up to 39.14\% for scenarios under dynamic workload conditions. | |
Internacional
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Si |
Nombre congreso
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International Conference on Parallel Architectures and Compilation Techniques (PACT) |
Tipo de participación
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960 |
Lugar del congreso
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San Francisco, CA, USA |
Revisores
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Si |
ISBN o ISSN
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978-1-4673-9524-3 |
DOI
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http://dx.doi.org/10.1109/PACT.2015.59 |
Fecha inicio congreso
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18/10/2015 |
Fecha fin congreso
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21/10/2015 |
Desde la página
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494 |
Hasta la página
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495 |
Título de las actas
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2015 International Conference on Parallel Architecture and Compilation (PACT) |