Large-scale IoT network offloading to cloud and fog computing : A fluid limit model
Resumen:
This paper models a large-scale Internet of Things (IoT) network as a stochastic system that offloads computing towards Fog and Cloud via a shared access medium. The analysis of this large IoT system by stochastic methods is a challenging problem, if possible, to solve. This paper proposes the approximation of the dynamic of the IoT network via the fluid limit of the stochastic process. This method allows the analysis of the large-scale system and also allows finding the equilibrium point of the system. The results obtained with stochastic simulations show that the fluid model is an excellent approximation of the stochastic system.
2021 | |
Beca de Maestría ANII | |
Cloud computing Computational modeling Stochastic systems Fluid dynamics Stochastic processes Large-scale systems Internet of Things Edge Computing Fog Computing Computation Offloading Markov Process Fluid Limit Switched Systems Wireless Communications |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://ieeexplore.ieee.org/document/9647124
https://hdl.handle.net/20.500.12008/34967 |
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Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
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author | Belcredi, Gonzalo |
author2 | Aspirot, Laura Monzón, Pablo Belzarena, Pablo |
author2_role | author author author |
author_facet | Belcredi, Gonzalo Aspirot, Laura Monzón, Pablo Belzarena, Pablo |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Belcredi Gonzalo, Universidad de la República (Uruguay). Facultad de Ingeniería. Aspirot Laura, Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. Belzarena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. |
dc.creator.none.fl_str_mv | Belcredi, Gonzalo Aspirot, Laura Monzón, Pablo Belzarena, Pablo |
dc.date.accessioned.none.fl_str_mv | 2022-11-23T13:24:39Z |
dc.date.available.none.fl_str_mv | 2022-11-23T13:24:39Z |
dc.date.issued.none.fl_str_mv | 2021 |
dc.description.abstract.none.fl_txt_mv | This paper models a large-scale Internet of Things (IoT) network as a stochastic system that offloads computing towards Fog and Cloud via a shared access medium. The analysis of this large IoT system by stochastic methods is a challenging problem, if possible, to solve. This paper proposes the approximation of the dynamic of the IoT network via the fluid limit of the stochastic process. This method allows the analysis of the large-scale system and also allows finding the equilibrium point of the system. The results obtained with stochastic simulations show that the fluid model is an excellent approximation of the stochastic system. |
dc.description.es.fl_txt_mv | Presentado y publicado en 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov. 2021, pp. 377-381. |
dc.description.sponsorship.none.fl_txt_mv | Beca de Maestría ANII |
dc.format.extent.es.fl_str_mv | 5 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | Belcredi, G., Aspirot, L., Monzón, P. y otros. Large-scale IoT network offloading to cloud and fog computing : A fluid limit model [Preprint]. Publicado en: 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov 2021, pp. 377-381. DOI 10.1109/URUCON53396.2021.9647124 |
dc.identifier.uri.none.fl_str_mv | https://ieeexplore.ieee.org/document/9647124 https://hdl.handle.net/20.500.12008/34967 |
dc.language.iso.none.fl_str_mv | en eng |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Cloud computing Computational modeling Stochastic systems Fluid dynamics Stochastic processes Large-scale systems Internet of Things Edge Computing Fog Computing Computation Offloading Markov Process Fluid Limit Switched Systems Wireless Communications |
dc.title.none.fl_str_mv | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
dc.type.es.fl_str_mv | Preprint |
dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
description | Presentado y publicado en 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov. 2021, pp. 377-381. |
eu_rights_str_mv | openAccess |
format | preprint |
id | COLIBRI_b373b75c5bb9217a4f3ccd022b2989c9 |
identifier_str_mv | Belcredi, G., Aspirot, L., Monzón, P. y otros. Large-scale IoT network offloading to cloud and fog computing : A fluid limit model [Preprint]. Publicado en: 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov 2021, pp. 377-381. DOI 10.1109/URUCON53396.2021.9647124 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/34967 |
publishDate | 2021 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | Belcredi Gonzalo, Universidad de la República (Uruguay). Facultad de Ingeniería.Aspirot Laura, Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de AdministraciónMonzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.Belzarena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.2022-11-23T13:24:39Z2022-11-23T13:24:39Z2021Belcredi, G., Aspirot, L., Monzón, P. y otros. Large-scale IoT network offloading to cloud and fog computing : A fluid limit model [Preprint]. Publicado en: 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov 2021, pp. 377-381. DOI 10.1109/URUCON53396.2021.9647124https://ieeexplore.ieee.org/document/9647124https://hdl.handle.net/20.500.12008/34967Presentado y publicado en 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov. 2021, pp. 377-381.This paper models a large-scale Internet of Things (IoT) network as a stochastic system that offloads computing towards Fog and Cloud via a shared access medium. The analysis of this large IoT system by stochastic methods is a challenging problem, if possible, to solve. This paper proposes the approximation of the dynamic of the IoT network via the fluid limit of the stochastic process. This method allows the analysis of the large-scale system and also allows finding the equilibrium point of the system. The results obtained with stochastic simulations show that the fluid model is an excellent approximation of the stochastic system.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2022-11-22T05:49:40Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMB21.pdf: 3015830 bytes, checksum: f952fa0b79e70da89036df0dcf0ddc2a (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2022-11-22T19:28:31Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMB21.pdf: 3015830 bytes, checksum: f952fa0b79e70da89036df0dcf0ddc2a (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-11-23T13:24:39Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BAMB21.pdf: 3015830 bytes, checksum: f952fa0b79e70da89036df0dcf0ddc2a (MD5) Previous issue date: 2021Beca de Maestría ANII5 p.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Cloud computingComputational modelingStochastic systemsFluid dynamicsStochastic processesLarge-scale systemsInternet of ThingsEdge ComputingFog ComputingComputation OffloadingMarkov ProcessFluid LimitSwitched SystemsWireless CommunicationsLarge-scale IoT network offloading to cloud and fog computing : A fluid limit modelPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBelcredi, GonzaloAspirot, LauraMonzón, PabloBelzarena, PabloSistemas y ControlTelecomunicacionesAnálisis de Redes, Tráfico y Estadísticas de ServiciosAnálisis de Redes, Tráfico y Estadísticas de ServiciosLICENSElicense.txtlicense.txttext/plain; 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- Universidad de la Repúblicafalse |
spellingShingle | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model Belcredi, Gonzalo Cloud computing Computational modeling Stochastic systems Fluid dynamics Stochastic processes Large-scale systems Internet of Things Edge Computing Fog Computing Computation Offloading Markov Process Fluid Limit Switched Systems Wireless Communications |
status_str | submittedVersion |
title | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
title_full | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
title_fullStr | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
title_full_unstemmed | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
title_short | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
title_sort | Large-scale IoT network offloading to cloud and fog computing : A fluid limit model |
topic | Cloud computing Computational modeling Stochastic systems Fluid dynamics Stochastic processes Large-scale systems Internet of Things Edge Computing Fog Computing Computation Offloading Markov Process Fluid Limit Switched Systems Wireless Communications |
url | https://ieeexplore.ieee.org/document/9647124 https://hdl.handle.net/20.500.12008/34967 |