Energy efficient cloud service provisioning: Keeping data center granularity in perspective
The cost of power and its associated delivery are becoming significant factors in the total expenditure of large-scale data centers. Numerous techniques have been proposed to address the energy efficiency issue in cloud systems. Recently, some efforts have been made to decentralize the cloud via dis...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/88496 |
| Acceso en línea: | https://hdl.handle.net/2117/88496 https://dx.doi.org/10.1007/s10723-015-9358-3 |
| Access Level: | acceso abierto |
| Palabra clave: | Data processing service centers Cloud computing Cloud architecture Data center granularity Energy effectiveness P2P-cloud Virtual data center Centres informàtics Computació en núvol Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
| Sumario: | The cost of power and its associated delivery are becoming significant factors in the total expenditure of large-scale data centers. Numerous techniques have been proposed to address the energy efficiency issue in cloud systems. Recently, some efforts have been made to decentralize the cloud via distributing data centers in diverse geographical positions, at different scales. In this paper, we elaborate on the energy effectiveness of service provisioning on different cloud architectures, from a mega-data center to a nano data center, which provides the extreme decentralization in terms of cloud architecture, as well as P2P-clouds or community network clouds. We study the energy consumption through an analytical and simulation framework for video streaming and MapReduce applications. |
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