Energy policies for data-center monolithic schedulers
| Autor: | Fernández Cerero, Damián, Fernández Montes González, Alejandro, Ortega Ramírez, Juan Antonio |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla. TIC134: Sistemas Informáticos |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla Fundacion Sancho el Sabio Fundazioa (FSS) |
| Popis: | Cloud computing and data centers that support this paradigm are rapidly evolving in order to satisfy new demands. These ever-growing needs represent an energy-related challenge to achieve sustainability and cost reduction. In this paper, we define an expert and intelligent system that applies various en ergy policies. These policies are employed to maximize the energy-efficiency of data-center resources by simulating a realistic environment and heterogeneous workload in a trustworthy tool. An environmental and economic impact of around 20% of energy consumption can be saved in high-utilization scenarios without exerting any noticeable impact on data-center performance if an adequate policy is applied. |
| Databáze: | OpenAIRE |
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