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dc.creatorHorcas Aguilera, José Migueles
dc.creatorPinto, Mónicaes
dc.creatorFuentes, Lidiaes
dc.creatorGámez, Nadiaes
dc.date.accessioned2021-06-10T08:13:17Z
dc.date.available2021-06-10T08:13:17Z
dc.date.issued2017
dc.identifier.citationHorcas Aguilera, J.M., Pinto, M., Fuentes, L. y Gámez, N. (2017). Self-Adaptive Energy-Efficent Applications: The HADAS Developing Approach. En DASC/PiCom/DataCom/CyberSciTech 2017: IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (828-835), Orlando, Florida, USA: IEEE Computer Society.
dc.identifier.isbn978-1-5386-1956-8es
dc.identifier.urihttps://hdl.handle.net/11441/111638
dc.description.abstractSoftware systems have a strong impact on the energy consumption of the hardware they use. For this reason, software developers should be more aware of the energy consumed by their systems. Moreover, software systems should be developed to be able to adapt their behavior to minimize the energy consumed during their execution. This paper illustrates how to address the problem of developing self-adaptive energyefficient applications using the HADAS approach. HADAS makes use of advanced software engineering methods, such as Dynamic Software Product Lines and Aspect-Oriented Software Development. The main steps of the HADAS approach, both during the design of the application and also at runtime are illustrated by applying them to a running case study.es
dc.description.sponsorshipJunta de Andalucía MAGIC P12-TIC1814es
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades HADAS TIN2015-64841-Res
dc.formatapplication/pdfes
dc.format.extent8es
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofDASC/PiCom/DataCom/CyberSciTech 2017: IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (2017), pp. 828-835.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEnergy-efficient applicationses
dc.subjectSelf-adaptationes
dc.subjectHADASes
dc.subjectDynamic Software Product Lineses
dc.subjectAspect-Oriented Software Developmentes
dc.titleSelf-Adaptive Energy-Efficent Applications: The HADAS Developing Approaches
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDMAGIC P12-TIC1814es
dc.relation.projectIDHADAS TIN2015-64841-Res
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8328484es
dc.identifier.doi10.1109/DASC-PICom-DataCom-CyberSciTec.2017.140es
dc.publication.initialPage828es
dc.publication.endPage835es
dc.eventtitleDASC/PiCom/DataCom/CyberSciTech 2017: IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congresses
dc.eventinstitutionOrlando, Florida, USAes
dc.relation.publicationplaceNew York, USAes
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (MICINN). Españaes

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