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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/116422
Ver los metadatos del registro completo
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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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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/116422 |
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eng |
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eng |
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dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess 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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openAccess |
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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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