Energy-optimal collaborative file distribution in wired networks

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dc.contributor.author Verma, Kshitiz
dc.contributor.author Rizzo, Gianluca
dc.contributor.author Fernández Anta, Antonio
dc.contributor.author Cuevas Rumín, Rubén
dc.contributor.author Azcorra Saloña, Arturo
dc.contributor.author Zaks, Shmuel
dc.contributor.author García Martínez, Alberto
dc.date.accessioned 2018-10-03T09:56:40Z
dc.date.available 2018-10-03T09:56:40Z
dc.date.issued 2017-07-01
dc.identifier.bibliographicCitation Peer-to-Peer Networking and Applications, (2017), 10(4), pp 925–944.
dc.identifier.issn 1936-6442
dc.identifier.uri http://hdl.handle.net/10016/27519
dc.description.abstract The 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.
dc.description.sponsorship Supported 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.
dc.format.extent 19
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer Science+Business Media New York 2016
dc.subject.other P2P
dc.subject.other Energy efficiency
dc.subject.other Algorithms
dc.subject.other Networks
dc.subject.other File distribution
dc.subject.other Performance evaluation
dc.title Energy-optimal collaborative file distribution in wired networks
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1007/s12083-016-0453-4
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. RYC-2014-15014
dc.relation.projectID Gobierno de España. TEC2014-58964-C2-1-R
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2894
dc.relation.projectID Comunidad de Madrid. P2013/ICE-2958
dc.relation.projectID Comunidad de Madrid. P2013/ICE-2958/BRADE
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/653417/EU/ReCRED
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/692058/EU/NOTRE
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 925
dc.identifier.publicationissue 4
dc.identifier.publicationlastpage 944
dc.identifier.publicationtitle Peer-to-Peer Networking and Applications
dc.identifier.publicationvolume 10
dc.identifier.uxxi AR/0000019570
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