Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments

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dc.contributor.authorZapater, Marina
dc.contributor.authorSanchez, Cesar
dc.contributor.authorAyala Rodrigo, José Luis
dc.contributor.authorMoya, Jose M.
dc.contributor.authorRisco Martín, José Luis
dc.date.accessioned2023-06-20T01:05:03Z
dc.date.available2023-06-20T01:05:03Z
dc.date.issued2012-08-03
dc.description.abstractUbiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.
dc.description.departmentDepto. de Arquitectura de Computadores y Automática
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/67840
dc.identifier.doi10.3390/s120810659
dc.identifier.issn1424-8220
dc.identifier.officialurlhttps://doi.org/10.3390/s120810659
dc.identifier.relatedurlhttps://www.mdpi.com/1424-8220/12/8/10659
dc.identifier.urihttps://hdl.handle.net/20.500.14352/43286
dc.issue.number8
dc.journal.titleSensors
dc.language.isoeng
dc.page.final10677
dc.page.initial10659
dc.publisherMDPI
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.keywordubiquitous sensor network
dc.subject.keywordgreen computing
dc.subject.keywordheterogeneous systems
dc.subject.keyworddata centers
dc.subject.keywordhigh performance computing
dc.subject.keywordsmart cities
dc.subject.keywordambient intelligence
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.ucmRedes
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleUbiquitous Green Computing Techniques for High Demand Applications in Smart Environments
dc.typejournal article
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublicationd73a810d-34c3-440e-8b5f-e2a7b0eb538f
relation.isAuthorOfPublicationb18c2bd8-52be-4d79-bd8b-dbd8e970d703
relation.isAuthorOfPublication.latestForDiscoveryd73a810d-34c3-440e-8b5f-e2a7b0eb538f
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