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dc.contributor.authorTipantuña Tenelema, Christian José
dc.contributor.authorHesselbach Serra, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.date.accessioned2021-03-01T12:40:27Z
dc.date.available2021-03-01T12:40:27Z
dc.date.issued2020-10-14
dc.identifier.citationTipantuña, C.; Hesselbach, X. Nfv-enabled efficient renewable and non-renewable energy management: requirements and algorithms. "Future Internet", 14 Octubre 2020, vol. 12, núm. 10, p. 171:1-171:31.
dc.identifier.issn1999-5903
dc.identifier.urihttp://hdl.handle.net/2117/340640
dc.description.abstractThe increasing worldwide energy demand, the CO2 emissions generated due to the production and use of energy, climate change, and the depletion of natural resources are important concerns that require new solutions for energy generation and management. In order to ensure energy sustainability, measures, including the use of renewable energy sources, the deployment of adaptive energy consumption schemes, and consumer participation, are currently envisioned as feasible alternatives. Accordingly, this paper presents the requirements and algorithmic solutions for efficient management of energy consumption, which aims to optimize the use of available energy, whether or not it is 100% renewable, by minimizing the waste of energy. The proposal works within a Demand-Response environment, uses Network Functions Virtualization as an enabling technology, and leverages the massive connectivity of the Internet of Things provided by modern communications technologies. The energy consumption optimization problem is formulated as an Integer Linear Program. It is optimally solved while using a brute-force search strategy, defined as OPTTS, to detect all concerns that are related to the problem. Given the N P-hard nature of the problem and the non-polynomial complexity of OPTTS, some heuristic solutions are analyzed. Subsequently, a heuristic strategy, described as FASTTS based on a pre-partitioning method, is implemented. The simulation results validate our proposed energy management solution. Exact and heuristic strategies, when deployed in the Network Functions Virtualization domain, demonstrate improvements in the way that energy is consumed, thereby offering an increase in service processing. The evaluation results also show that FASTTS produces high-quality solutions that are close to those of OPTTS while executing 230×–5000× faster.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Impacte ambiental
dc.subject.lcshOperations research
dc.subject.otherenergy efficiency
dc.subject.otherenergy management
dc.subject.otherdemand response
dc.subject.othergreen energy
dc.subject.otherNFV
dc.subject.otherpre-partitioning
dc.subject.otherservice scheduling
dc.titleNfv-enabled efficient renewable and non-renewable energy management: requirements and algorithms
dc.typeArticle
dc.subject.lemacInvestigació operativa
dc.contributor.groupUniversitat Politècnica de Catalunya. BAMPLA - Disseny i Avaluació de Xarxes i Serveis de Banda Ampla
dc.identifier.doi10.3390/fi12100171
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/1999-5903/12/10/171
dc.rights.accessOpen Access
local.identifier.drac30424474
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/1PE/PID2019-108713RB-C51
local.citation.authorTipantuña, C.; Hesselbach, X.
local.citation.publicationNameFuture Internet
local.citation.volume12
local.citation.number10
local.citation.startingPage171:1
local.citation.endingPage171:31


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