Towards a platform to evaluate the impact of resource information distribution in IOT environments

Autores
Verghelet, Paula; Mocskos, Esteban
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Internet of Things (IoT) is a paradigm in which every object has the capacity of communicating through the Internet. Cloud Computing is designed to provide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge to the cloud data centers. Fog and Cloud environments de ne a large scale distributed system com-posed of heterogeneous resources, which has huge theoretical computing power. But using these computational resources poses challenges to dis- tributed applications and scheduling policies. In this work , we show the initial steps to develop a tool to support evaluate the impact of resource information quality to guide scheduling policies. This tool combines simulation and validation and simpli es the deployment of experiments on both sides. The evaluation of this initial proof of concept consists of the deployment of experiments with a different number of devices in a single site and in three different sites across France. Our results show that both simulation and validation platforms present good agreement.
Sociedad Argentina de Informática
Materia
Ciencias Informáticas
Resource information
Internet of things
Validation
Complex distributed systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/115972

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spelling Towards a platform to evaluate the impact of resource information distribution in IOT environmentsVerghelet, PaulaMocskos, EstebanCiencias InformáticasResource informationInternet of thingsValidationComplex distributed systemsInternet of Things (IoT) is a paradigm in which every object has the capacity of communicating through the Internet. Cloud Computing is designed to provide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge to the cloud data centers. Fog and Cloud environments de ne a large scale distributed system com-posed of heterogeneous resources, which has huge theoretical computing power. But using these computational resources poses challenges to dis- tributed applications and scheduling policies. In this work , we show the initial steps to develop a tool to support evaluate the impact of resource information quality to guide scheduling policies. This tool combines simulation and validation and simpli es the deployment of experiments on both sides. The evaluation of this initial proof of concept consists of the deployment of experiments with a different number of devices in a single site and in three different sites across France. Our results show that both simulation and validation platforms present good agreement.Sociedad Argentina de Informática2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf130-131http://sedici.unlp.edu.ar/handle/10915/115972enginfo:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-17.pdfinfo:eu-repo/semantics/altIdentifier/issn/2683-8966info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:27:04Zoai:sedici.unlp.edu.ar:10915/115972Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:27:04.692SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards a platform to evaluate the impact of resource information distribution in IOT environments
title Towards a platform to evaluate the impact of resource information distribution in IOT environments
spellingShingle Towards a platform to evaluate the impact of resource information distribution in IOT environments
Verghelet, Paula
Ciencias Informáticas
Resource information
Internet of things
Validation
Complex distributed systems
title_short Towards a platform to evaluate the impact of resource information distribution in IOT environments
title_full Towards a platform to evaluate the impact of resource information distribution in IOT environments
title_fullStr Towards a platform to evaluate the impact of resource information distribution in IOT environments
title_full_unstemmed Towards a platform to evaluate the impact of resource information distribution in IOT environments
title_sort Towards a platform to evaluate the impact of resource information distribution in IOT environments
dc.creator.none.fl_str_mv Verghelet, Paula
Mocskos, Esteban
author Verghelet, Paula
author_facet Verghelet, Paula
Mocskos, Esteban
author_role author
author2 Mocskos, Esteban
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Resource information
Internet of things
Validation
Complex distributed systems
topic Ciencias Informáticas
Resource information
Internet of things
Validation
Complex distributed systems
dc.description.none.fl_txt_mv Internet of Things (IoT) is a paradigm in which every object has the capacity of communicating through the Internet. Cloud Computing is designed to provide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge to the cloud data centers. Fog and Cloud environments de ne a large scale distributed system com-posed of heterogeneous resources, which has huge theoretical computing power. But using these computational resources poses challenges to dis- tributed applications and scheduling policies. In this work , we show the initial steps to develop a tool to support evaluate the impact of resource information quality to guide scheduling policies. This tool combines simulation and validation and simpli es the deployment of experiments on both sides. The evaluation of this initial proof of concept consists of the deployment of experiments with a different number of devices in a single site and in three different sites across France. Our results show that both simulation and validation platforms present good agreement.
Sociedad Argentina de Informática
description Internet of Things (IoT) is a paradigm in which every object has the capacity of communicating through the Internet. Cloud Computing is designed to provide computational resources to costumers geographically distributed following an elastic payment strategy. Fog/Edge Computing aims to decrease bandwidth usage keeping the computation near the source of data and avoiding the collapse of network infrastructure when moving all the data from the edge to the cloud data centers. Fog and Cloud environments de ne a large scale distributed system com-posed of heterogeneous resources, which has huge theoretical computing power. But using these computational resources poses challenges to dis- tributed applications and scheduling policies. In this work , we show the initial steps to develop a tool to support evaluate the impact of resource information quality to guide scheduling policies. This tool combines simulation and validation and simpli es the deployment of experiments on both sides. The evaluation of this initial proof of concept consists of the deployment of experiments with a different number of devices in a single site and in three different sites across France. Our results show that both simulation and validation platforms present good agreement.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
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130-131
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