Incorporating Resilience to Platforms based on Edge and Fog Computing

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 c...

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Autores principales: Medina, Santiago, Montezanti, Diego Miguel, Gomez D'Orazio, Lucas, Compagnucci, Evaristo, De Giusti, Armando Eduardo, Naiouf, Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140632
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140632
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
spellingShingle Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
Medina, Santiago
Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
Incorporating Resilience to Platforms based on Edge and Fog Computing
topic_facet Ciencias Informáticas
Edge Computing
Fog Computing
Cloud Computing
Resilience
Internet of Things
Wireless Sensor Networks
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.
format Objeto de conferencia
Objeto de conferencia
author Medina, Santiago
Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_facet Medina, Santiago
Montezanti, Diego Miguel
Gomez D'Orazio, Lucas
Compagnucci, Evaristo
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_sort Medina, Santiago
title Incorporating Resilience to Platforms based on Edge and Fog Computing
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
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/140632
work_keys_str_mv AT medinasantiago incorporatingresiliencetoplatformsbasedonedgeandfogcomputing
AT montezantidiegomiguel incorporatingresiliencetoplatformsbasedonedgeandfogcomputing
AT gomezdoraziolucas incorporatingresiliencetoplatformsbasedonedgeandfogcomputing
AT compagnuccievaristo incorporatingresiliencetoplatformsbasedonedgeandfogcomputing
AT degiustiarmandoeduardo incorporatingresiliencetoplatformsbasedonedgeandfogcomputing
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bdutipo_str Repositorios
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