dc.creator | Fernández Cerero, Damián | es |
dc.creator | Fernández Montes González, Alejandro | es |
dc.creator | Ortega Ramírez, Juan Antonio | es |
dc.date.accessioned | 2022-03-11T12:00:15Z | |
dc.date.available | 2022-03-11T12:00:15Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Fernández Cerero, D., Fernández Montes González, A. y Ortega Ramírez, J.A. (2018). Energy policies for data-center monolithic schedulers. Expert Systems with Applications, 110 (November 2018), 170-181. | |
dc.identifier.issn | 0957-4174 | es |
dc.identifier.uri | https://hdl.handle.net/11441/130703 | |
dc.description.abstract | 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. | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Expert Systems with Applications, 110 (November 2018), 170-181. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Energy policies | es |
dc.subject | Efficiency | es |
dc.subject | Data centre | es |
dc.subject | Simulation software | es |
dc.subject | Decision Making | es |
dc.title | Energy policies for data-center monolithic schedulers | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0957417418303531 | es |
dc.identifier.doi | 10.1016/j.eswa.2018.06.007 | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
dc.journaltitle | Expert Systems with Applications | es |
dc.publication.volumen | 110 | es |
dc.publication.issue | November 2018 | es |
dc.publication.initialPage | 170 | es |
dc.publication.endPage | 181 | es |
dc.identifier.sisius | 21591705 | es |