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dc.contributor.authorGarcía Almiñana, Jordi
dc.contributor.authorAguiló Gost, Francisco de Asis L.
dc.contributor.authorSimó Mezquita, Ester
dc.contributor.authorZaragoza Monroig, M. Luisa
dc.contributor.authorMasip Bruin, Xavier
dc.contributor.authorLU, Yunsong
dc.contributor.authorPrieto González, Andrés
dc.contributor.authorMolinas Ramón, Joan
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2019-07-19T09:28:01Z
dc.date.issued2019
dc.identifier.citationGarcia, J. [et al.]. A preliminary model for optimal load distribution in heterogeneous smart environments. A: IEEE International Conference on High Performance Switching and Routing. "IEEE HPSR: IEEE International Conference on High Performance Switching and Routing: Xi'an, China: May 26-29, 2019: proceedings book". 2019, p. 1-6.
dc.identifier.urihttp://hdl.handle.net/2117/166451
dc.description.abstractSmart cities are becoming popular and, with them, a plethora of resources is emerging turning into a massive concentration of computing devices. In such environments, the deployment of a smart resources management system is envisioned as an extraordinary opportunity to provide almost unlimited computing and networking capabilities obtained by putting together a vast set of nearby devices, hence offering high performance computing while benefiting from low latency networking. In this scenario, where millions of highly heterogeneous devices are available, a key challenge is to select the set of devices suited the most to carry out some specific tasks. In this paper, we present a performance estimation model intended to find an optimal solution for load distribution over massive heterogeneous systems, considering the effects of both, distributed computing and network overhead. The current implementation is in a preliminary stage, considering only fully parallel applications. Trials conducted considering several hardware configurations, with either homogeneous or heterogeneous systems, show the fact that the predicted performance matches the one obtained by the experimental executions with an almost negligible deviation. These initial results encourage us to continue developing the model for more complex and realistic applications.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshCloud computing
dc.subject.lcshComputer networks
dc.subject.lcshElectronic villages (Computer networks))
dc.subject.lcshCities and towns -- Technological innovations
dc.titleA preliminary model for optimal load distribution in heterogeneous smart environments
dc.typeConference report
dc.subject.lemacComputació en núvol
dc.subject.lemacOrdinadors, Xarxes d'
dc.subject.lemacCiutats digitals (Xarxes d'ordinadors)
dc.subject.lemacCiutats -- Innovacions tecnològiques
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac25404000
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorGarcia, J.; Aguilo, F.; Simo, E.; Zaragoza, M.; Masip, X.; LU, Y.; Prieto, A.; Molinas, J.
local.citation.contributorIEEE International Conference on High Performance Switching and Routing
local.citation.publicationNameIEEE HPSR: IEEE International Conference on High Performance Switching and Routing: Xi'an, China: May 26-29, 2019: proceedings book
local.citation.startingPage1
local.citation.endingPage6


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