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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/115972
Ver los metadatos del registro completo
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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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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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dc.language.none.fl_str_mv |
eng |
language |
eng |
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http://creativecommons.org/licenses/by-nc-sa/3.0/ Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) |
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