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dc.contributor.authorSouza, Vitor Barbosa
dc.contributor.authorMasip Bruin, Xavier
dc.contributor.authorMarín Tordera, Eva
dc.contributor.authorRamirez Almonte, Wilson
dc.contributor.authorSánchez López, Sergio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2018-01-08T14:44:02Z
dc.date.issued2016
dc.identifier.citationSouza, V., Masip, X., Marin, E., Ramirez, W., Sanchez, S. Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios. A: IEEE Global Communications Conference. "2016 IEEE Global Communications Conference (GLOBECOM): proceedings, Washington, DC USA 4-8 December 2016". Washington, DC: Institute of Electrical and Electronics Engineers (IEEE), 2016.
dc.identifier.isbn9781509013289
dc.identifier.urihttp://hdl.handle.net/2117/112464
dc.description.abstractThe novel Fog-to-Cloud (F2C) computing paradigm has been recently proposed aiming at the enhanced integration of Fog Computing and Cloud Computing through the coordinated management of underlying resources, taking into account the peculiarities inherent to each computing model, and enabling the parallel and distributed execution of services into distinct fog/cloud resources. Nevertheless, studies on F2C are still premature and several issues remain unsolved yet. For instance, in an F2C scenario service allocation must cope with the specific aspects associated to cloud and fog resource models, requiring distinct strategies to properly map IoT services into the most suitable available resources. In this paper, we propose a QoS-aware service distribution strategy contemplating both service requirements and resource offerings. We model the service allocation problem as a multidimensional knapsack problem (MKP) aiming at an optimal service allocation taking into consideration delay, load balancing and energy consumption. The presented results, demonstrate that the adopted strategy may be applied by F2C computing reducing the service allocation delay, while also diminishing load and energy consumption on cloud and fog resources.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Energies::Eficiència energètica
dc.subject.lcshCloud computing
dc.subject.lcshEnergy conservation
dc.subject.otherResource allocation
dc.subject.otherCloud computing
dc.subject.otherKnapsack problems
dc.subject.otherQuality of service
dc.titleTowards distributed service allocation in Fog-to-Cloud (F2C) scenarios
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacEnergia -- Estalvi
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
dc.identifier.doi10.1109/GLOCOM.2016.7842341
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7842341/
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21682989
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSouza, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S.
local.citation.contributorIEEE Global Communications Conference
local.citation.pubplaceWashington, DC
local.citation.publicationName2016 IEEE Global Communications Conference (GLOBECOM): proceedings, Washington, DC USA 4-8 December 2016


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