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dc.contributor.authorSouza, Vitor Barbosa
dc.contributor.authorRamirez Almonte, Wilson
dc.contributor.authorMasip Bruin, Xavier
dc.contributor.authorMarín Tordera, Eva
dc.contributor.authorRen, G.
dc.contributor.authorTashakor, Ghazal
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2016-12-12T14:08:44Z
dc.date.issued2016
dc.identifier.citationSouza, V., Ramirez, W., Masip, X., Marin, E., Ren, G., Tashakor, G. Handling service allocation in combined Fog-cloud scenarios. A: IEEE International Conference on Communications. "2016 IEEE International Conference on Communications (ICC) took place 22-27 May 2016 in Kuala Lumpur, Malaysia". Kuala Lumpur: Institute of Electrical and Electronics Engineers (IEEE), 2016.
dc.identifier.isbn978-1-4799-6664-6
dc.identifier.urihttp://hdl.handle.net/2117/98028
dc.description.abstractThe recent technological advances related to computing, storage, cloud, networking and the unstoppable deployment of end-user devices, are all coining the so-called Internet of Things (IoT). IoT embraces a wide set of heterogeneous services in highly impacting societal sectors, such as Healthcare, Smart Transportation or Media delivery, all of them posing a diverse set of requirements, including real time response, low latency, or high capacity. In order to properly address such diverse set of requirements, the combined use of Cloud and Fog computing turns up as an emerging trend. Indeed, Fog provides low delay for services demanding real time response, constrained to support low capacity queries, whereas Cloud provides high capacity at the cost of a higher latency. It is with no doubt that a new strategy is required to ease the combined operation of cloud and fog infrastructures in IoT scenarios, also referred to as Combined Fog-Cloud (CFC), in terms of service execution performance metrics. To that end, in this paper, we introduce and formulate the QoS-aware service allocation problem for CFC architectures as an integer optimization problem, whose solution minimizes the latency experienced by the services while guaranteeing the fulfillment of the capacity requirements.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet
dc.subject.lcshCloud computing
dc.subject.lcshInternet of things
dc.subject.otherDistributed computer systems
dc.subject.otherFog
dc.subject.otherInteger programming
dc.subject.otherInternet
dc.subject.otherOptimization
dc.subject.otherCapacity requirement
dc.subject.otherCombined operations
dc.subject.otherHeterogeneous services
dc.subject.otherInteger optimization
dc.subject.otherInternet of Things (IOT)
dc.subject.otherIot services
dc.subject.otherService allocations
dc.subject.otherTechnological advances
dc.titleHandling service allocation in combined Fog-cloud scenarios
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacInternet de les coses
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
dc.identifier.doi10.1109/ICC.2016.7511465
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7511465/
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac18852040
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSouza, V.; Ramirez, W.; Masip, X.; Marin, E.; Ren, G.; Tashakor, G.
local.citation.contributorIEEE International Conference on Communications
local.citation.pubplaceKuala Lumpur
local.citation.publicationName2016 IEEE International Conference on Communications (ICC) took place 22-27 May 2016 in Kuala Lumpur, Malaysia


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