Towards reliable remote laboratory experiences: a model for maximizing availability through fault-detection and replication

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dc.contributor.authorVillar Martínez, Aitor
dc.contributor.authorGarcía-Zubía, Javier
dc.contributor.authorAngulo Martínez, Ignacio
dc.contributor.authorRodríguez Gil, Luis
dc.date.accessioned2025-09-03T10:42:18Z
dc.date.available2025-09-03T10:42:18Z
dc.date.issued2021-03-12
dc.date.updated2025-09-03T10:42:18Z
dc.description.abstractEducational remote laboratories allow users to access and control via the Internet remote equipment, that may be physically located anywhere in the world. They have a great potential for education, since they offer many advantages, such as cost reduction, high flexibility or the possibility of sharing equipment among institutions. However, their use is not yet as widespread as it could be. Freely available laboratories often present significant reliability issues. Instructors often plan their lessons in advance, and incorporating third-party tools that are prone to failure is risky, since they may be unavailable for the class and present errors to the students, which may make it necessary to suspend the session or find alternatives on the go. This contribution analyzes the reliability of a set of state-of-the-art laboratories with a view to categorizing and quantifying the most common failures. It then describes a multi-layered software model for detecting errors in laboratories. This model has two main goals. First, to ensure that the laboratory management system is aware of the state of the laboratory, so that users do not experience errors and laboratory maintenance personnel can repair it as soon as possible. Second, to serve as a base for a fault-tolerance model that leverages replicated instances of the laboratory. This fault-tolerance model is also described, and is designed to provide high availability and support for multiple concurrent users. The effectiveness of this model is validated by analyzing the reliability and availability of two remote laboratories in which it has been implemented.en
dc.identifier.citationVillar-Martinez, A., Garcia-Zubia, J., Angulo, I., & Rodriguez-Gil, L. (2021). Towards reliable remote laboratory experiences: a model for maximizing availability through fault-detection and replication. IEEE Access, 9, 45032-45054. https://doi.org/10.1109/ACCESS.2021.3065742
dc.identifier.doi10.1109/ACCESS.2021.3065742
dc.identifier.eissn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3472
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subject.otherAvailability
dc.subject.otherFailure detection
dc.subject.otherReliability
dc.subject.otherRemote laboratory
dc.subject.otherReplicability
dc.titleTowards reliable remote laboratory experiences: a model for maximizing availability through fault-detection and replicationen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage45054
oaire.citation.startPage45032
oaire.citation.titleIEEE Access
oaire.citation.volume9
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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