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Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure

Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these devices, provides video confe...

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Autores principales: Osimani, Felipe, Stecanella, Bruno, Capdehourat, Germán, Etcheverry, Lorena, Grampín, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339153/
https://www.ncbi.nlm.nih.gov/pubmed/30585214
http://dx.doi.org/10.3390/s19010070
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author Osimani, Felipe
Stecanella, Bruno
Capdehourat, Germán
Etcheverry, Lorena
Grampín, Eduardo
author_facet Osimani, Felipe
Stecanella, Bruno
Capdehourat, Germán
Etcheverry, Lorena
Grampín, Eduardo
author_sort Osimani, Felipe
collection PubMed
description Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these devices, provides video conference facilities, and develops educational applications. Given the scale of the program, management in general, and specifically device management, is a very challenging task. Device maintenance and replacement is a particularly important process; users trigger such kind of replacement processes and usually imply several days without the device. Early detection of fault conditions in the most stressed hardware parts (e.g., batteries) would permit to prompt defensive replacement, contributing to reduce downtime, and improving the user experience. Seeking for better, preventive and scalable device management, in this paper we present a prototype of a Mobile Device Management (MDM) module for Plan Ceibal, developed over an IoT infrastructure, showing the results of a controlled experiment over a sample of the devices. The prototype is deployed over a public IoT infrastructure to speed up the development process, avoiding, in this phase, the need for local infrastructure and maintenance, while enforcing scalability and security requirements. The presented data analysis was implemented off-line and represents a sample of possible metrics which could be used to implement preventive management in a real deployment.
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spelling pubmed-63391532019-01-23 Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure Osimani, Felipe Stecanella, Bruno Capdehourat, Germán Etcheverry, Lorena Grampín, Eduardo Sensors (Basel) Article Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these devices, provides video conference facilities, and develops educational applications. Given the scale of the program, management in general, and specifically device management, is a very challenging task. Device maintenance and replacement is a particularly important process; users trigger such kind of replacement processes and usually imply several days without the device. Early detection of fault conditions in the most stressed hardware parts (e.g., batteries) would permit to prompt defensive replacement, contributing to reduce downtime, and improving the user experience. Seeking for better, preventive and scalable device management, in this paper we present a prototype of a Mobile Device Management (MDM) module for Plan Ceibal, developed over an IoT infrastructure, showing the results of a controlled experiment over a sample of the devices. The prototype is deployed over a public IoT infrastructure to speed up the development process, avoiding, in this phase, the need for local infrastructure and maintenance, while enforcing scalability and security requirements. The presented data analysis was implemented off-line and represents a sample of possible metrics which could be used to implement preventive management in a real deployment. MDPI 2018-12-25 /pmc/articles/PMC6339153/ /pubmed/30585214 http://dx.doi.org/10.3390/s19010070 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Osimani, Felipe
Stecanella, Bruno
Capdehourat, Germán
Etcheverry, Lorena
Grampín, Eduardo
Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title_full Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title_fullStr Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title_full_unstemmed Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title_short Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure
title_sort managing devices of a one-to-one computing educational program using an iot infrastructure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339153/
https://www.ncbi.nlm.nih.gov/pubmed/30585214
http://dx.doi.org/10.3390/s19010070
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