Incorporating Resilience to Platforms based on Edge and Fog Computing

Autores
Medina, Santiago; Montezanti, Diego Miguel; Gomez D'Orazio, Lucas; Compagnucci, Evaristo; De Giusti, Armando Eduardo; Naiouf, Marcelo
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In recent years, Internet of Things (IoT) has become extremely popular because of its ability of sensing information from the environment and processing it in the cloud. Edge and Fog Computing are new paradigms that aim to localize some of the processing near the sensors, helping to cope with high communications latencies and bandwidth bottlenecks. As Wireless Sensor Networks (WSN) and Fog nodes are prone to failure, affecting system reliability and performance, the implementation of resilience strategies becomes essential to ensure reliable delivery of data and system availability during interruptions or in the presence of faults. In this article, we present three lines of research in progress: Redundant Image Processing, Integration of a WSN with an IoT Platform for Intelligent Control and Resilient Monitorization and Control of Robots. We aim to incorporate resilience mechanisms to platforms that integrate Edge, Fog and Cloud Computing, and to evaluate the proposed solutions in terms of the coverage achieved, processing and communication times and power consumption.
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/140632
Acceder
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network_name_str SEDICI (UNLP)
spelling Incorporating Resilience to Platforms based on Edge and Fog ComputingMedina, SantiagoMontezanti, Diego MiguelGomez D'Orazio, LucasCompagnucci, EvaristoDe Giusti, Armando EduardoNaiouf, MarceloCiencias InformáticasEdge ComputingFog ComputingCloud ComputingResilienceInternet of ThingsWireless Sensor NetworksIn recent years, Internet of Things (IoT) has become extremely popular because of its ability of sensing information from the environment and processing it in the cloud. Edge and Fog Computing are new paradigms that aim to localize some of the processing near the sensors, helping to cope with high communications latencies and bandwidth bottlenecks. As Wireless Sensor Networks (WSN) and Fog nodes are prone to failure, affecting system reliability and performance, the implementation of resilience strategies becomes essential to ensure reliable delivery of data and system availability during interruptions or in the presence of faults. In this article, we present three lines of research in progress: Redundant Image Processing, Integration of a WSN with an IoT Platform for Intelligent Control and Resilient Monitorization and Control of Robots. We aim to incorporate resilience mechanisms to platforms that integrate Edge, Fog and Cloud Computing, and to evaluate the proposed solutions in terms of the coverage achieved, processing and communication times and power consumption.Instituto de Investigación en Informática2022-07info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf7-11http://sedici.unlp.edu.ar/handle/10915/140632enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2126-0info:eu-repo/semantics/reference/hdl/10915/139373info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:27:35Zoai:sedici.unlp.edu.ar:10915/140632Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:27:35.831SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Incorporating Resilience to Platforms based on Edge and Fog Computing
title Incorporating Resilience to Platforms based on Edge and Fog Computing
spellingShingle Incorporating Resilience to Platforms based on Edge and Fog Computing
Medina, Santiago
Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
title_short Incorporating Resilience to Platforms based on Edge and Fog Computing
title_full Incorporating Resilience to Platforms based on Edge and Fog Computing
title_fullStr Incorporating Resilience to Platforms based on Edge and Fog Computing
title_full_unstemmed Incorporating Resilience to Platforms based on Edge and Fog Computing
title_sort Incorporating Resilience to Platforms based on Edge and Fog Computing
dc.creator.none.fl_str_mv Medina, Santiago
Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
author Medina, Santiago
author_facet Medina, Santiago
Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_role author
author2 Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
topic Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
dc.description.none.fl_txt_mv In recent years, Internet of Things (IoT) has become extremely popular because of its ability of sensing information from the environment and processing it in the cloud. Edge and Fog Computing are new paradigms that aim to localize some of the processing near the sensors, helping to cope with high communications latencies and bandwidth bottlenecks. As Wireless Sensor Networks (WSN) and Fog nodes are prone to failure, affecting system reliability and performance, the implementation of resilience strategies becomes essential to ensure reliable delivery of data and system availability during interruptions or in the presence of faults. In this article, we present three lines of research in progress: Redundant Image Processing, Integration of a WSN with an IoT Platform for Intelligent Control and Resilient Monitorization and Control of Robots. We aim to incorporate resilience mechanisms to platforms that integrate Edge, Fog and Cloud Computing, and to evaluate the proposed solutions in terms of the coverage achieved, processing and communication times and power consumption.
Instituto de Investigación en Informática
description In recent years, Internet of Things (IoT) has become extremely popular because of its ability of sensing information from the environment and processing it in the cloud. Edge and Fog Computing are new paradigms that aim to localize some of the processing near the sensors, helping to cope with high communications latencies and bandwidth bottlenecks. As Wireless Sensor Networks (WSN) and Fog nodes are prone to failure, affecting system reliability and performance, the implementation of resilience strategies becomes essential to ensure reliable delivery of data and system availability during interruptions or in the presence of faults. In this article, we present three lines of research in progress: Redundant Image Processing, Integration of a WSN with an IoT Platform for Intelligent Control and Resilient Monitorization and Control of Robots. We aim to incorporate resilience mechanisms to platforms that integrate Edge, Fog and Cloud Computing, and to evaluate the proposed solutions in terms of the coverage achieved, processing and communication times and power consumption.
publishDate 2022
dc.date.none.fl_str_mv 2022-07
dc.type.none.fl_str_mv 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
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/140632
url http://sedici.unlp.edu.ar/handle/10915/140632
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2126-0
info:eu-repo/semantics/reference/hdl/10915/139373
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
7-11
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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