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Energy-optimal collaborative file distribution in wired networks

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorVerma, Kshitiz
dc.contributor.authorRizzo, Gianluca
dc.contributor.authorFernández Anta, Antonio
dc.contributor.authorCuevas Rumín, Rubén
dc.contributor.authorAzcorra Saloña, Arturo
dc.contributor.authorZaks, Shmuel
dc.contributor.authorGarcía Martínez, Alberto
dc.date.accessioned2018-10-03T09:56:40Z
dc.date.available2018-10-03T09:56:40Z
dc.date.issued2017-07-01
dc.description.abstractThe impact of the ICT sector in worldwide power consumption is an increasing concern, motivating the research community to devote an important effort to define novel energy efficient networking solutions. Despite file distribution is responsible for a major portion of the current Internet traffic, little effort has been dedicated to address the issue of its energy efficiency so far. Most of the previous literature focuses on optimizing the download time of file distribution schemes (e.g. centralized server-based or distributed peer-to-peer solutions) while it is yet unclear how to optimize file distribution schemes from the point of view of energy consumed. In this paper, we present a general modelling framework to analyze the energy consumption of file distribution systems. First, we show that the general problem of minimizing energy consumption in file distribution is NP-hard. Then, for restricted versions of the problem, we establish theoretical bounds to minimal energy consumption. Furthermore, we define a set of optimal algorithms for a variety of system settings, which exploit the service capabilities of hosts in a P2P fashion. We show that our schemes are capable of reducing at least 50 % of the energy consumed by traditional (yet largely used) centralized distribution schemes even when considering effects such as network congestion and heterogeneous access speed across nodes.en
dc.description.sponsorshipSupported in part by Ministerio de Economia y Competitividad grant TEC2014- 55713-R, the DRONEXT project (TEC2014-58964-C2-1-R), Regional Government of Madrid (CM) grant Cloud4BigData (S2013/ICE-2894, co- funded by FSE & FEDER), and BRADE Project (P2013/ICE-2958), NSF of China grant 61520106005, and European Commission H2020 grants ReCred and NOTRE.en
dc.format.extent19es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationPeer-to-Peer Networking and Applications, (2017), 10(4), pp 925–944.en
dc.identifier.doihttps://doi.org/10.1007/s12083-016-0453-4
dc.identifier.issn1936-6442
dc.identifier.publicationfirstpage925
dc.identifier.publicationissue4
dc.identifier.publicationlastpage944
dc.identifier.publicationtitlePeer-to-Peer Networking and Applicationsen
dc.identifier.publicationvolume10es
dc.identifier.urihttps://hdl.handle.net/10016/27519
dc.identifier.uxxiAR/0000019570
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. RYC-2014-15014es
dc.relation.projectIDGobierno de España. TEC2014-58964-C2-1-Res
dc.relation.projectIDComunidad de Madrid. S2013/ICE-2894es
dc.relation.projectIDComunidad de Madrid. P2013/ICE-2958es
dc.relation.projectIDComunidad de Madrid. P2013/ICE-2958/BRADEes
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/653417/EU/ReCREDen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/692058/EU/NOTREen
dc.rights© Springer Science+Business Media New York 2016en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherP2Pen
dc.subject.otherEnergy efficiencyen
dc.subject.otherAlgorithmsen
dc.subject.otherNetworksen
dc.subject.otherFile distributionen
dc.subject.otherPerformance evaluationen
dc.titleEnergy-optimal collaborative file distribution in wired networksen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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