First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things

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) refers to a paradigm in which all objects can send information and collaborate with their computing resources through the Internet. The combination of Fog and Cloud Computing defines a distributed system composed of heterogeneous resources interconnected by different communication technologies. Despite its theoretical capacity, using these computational resources poses a challenge to distributed applications and scheduling policies. In this work [1], we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software. To evaluate the proposal, we use a segmentation method in both platforms and a theoretical model to predict the total compute time. Our results show that both simulation and validation platforms agree in the obtained results which also can be explained in terms of a theoretical model.
Sociedad Argentina de Informática
Materia
Ciencias Informáticas
Monitoring
Internet of Things
Validation
Complex Distributed Systems
Computational modeling
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:10915/116422

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network_name_str SEDICI (UNLP)
spelling First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of ThingsVerghelet, PaulaMocskos, EstebanCiencias InformáticasMonitoringInternet of ThingsValidationComplex Distributed SystemsComputational modelingInternet of Things (IoT) refers to a paradigm in which all objects can send information and collaborate with their computing resources through the Internet. The combination of Fog and Cloud Computing defines a distributed system composed of heterogeneous resources interconnected by different communication technologies. Despite its theoretical capacity, using these computational resources poses a challenge to distributed applications and scheduling policies. In this work [1], we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software. To evaluate the proposal, we use a segmentation method in both platforms and a theoretical model to predict the total compute time. Our results show that both simulation and validation platforms agree in the obtained results which also can be explained in terms of a theoretical model.Sociedad Argentina de Informática2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/116422enginfo:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-16.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:UNLP2025-09-29T11:27:14Zoai:sedici.unlp.edu.ar:10915/116422Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:27:14.679SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
title First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
spellingShingle First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
Verghelet, Paula
Ciencias Informáticas
Monitoring
Internet of Things
Validation
Complex Distributed Systems
Computational modeling
title_short First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
title_full First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
title_fullStr First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
title_full_unstemmed First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
title_sort First Steps in Creating a Methodology to Develop and Test Scheduling Policies for Internet of Things
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
Monitoring
Internet of Things
Validation
Complex Distributed Systems
Computational modeling
topic Ciencias Informáticas
Monitoring
Internet of Things
Validation
Complex Distributed Systems
Computational modeling
dc.description.none.fl_txt_mv Internet of Things (IoT) refers to a paradigm in which all objects can send information and collaborate with their computing resources through the Internet. The combination of Fog and Cloud Computing defines a distributed system composed of heterogeneous resources interconnected by different communication technologies. Despite its theoretical capacity, using these computational resources poses a challenge to distributed applications and scheduling policies. In this work [1], we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software. To evaluate the proposal, we use a segmentation method in both platforms and a theoretical model to predict the total compute time. Our results show that both simulation and validation platforms agree in the obtained results which also can be explained in terms of a theoretical model.
Sociedad Argentina de Informática
description Internet of Things (IoT) refers to a paradigm in which all objects can send information and collaborate with their computing resources through the Internet. The combination of Fog and Cloud Computing defines a distributed system composed of heterogeneous resources interconnected by different communication technologies. Despite its theoretical capacity, using these computational resources poses a challenge to distributed applications and scheduling policies. In this work [1], we show the initial steps in developing a tool to support the creation of scheduling policies combining simulation and validation. We show the details to be considered when selecting and configuring the different layers of software. To evaluate the proposal, we use a segmentation method in both platforms and a theoretical model to predict the total compute time. Our results show that both simulation and validation platforms agree in the obtained results which also can be explained in terms of a theoretical model.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
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