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dc.contributor.authorYoung, Roger
dc.contributor.authorFallon, Sheila
dc.contributor.authorJacob, Paul
dc.identifier.citationYoung, R., Fallon, S., Jacob, P. (2018). A governance architecture for self-adaption & control in IoT applications. Published in: 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Date of Conference: 10-13 April 2018 Date Added to IEEE Xplore: 25 June 2018 ISBN Information: Electronic ISSN: 2576-3555 INSPEC Accession Number: 17875451 DOI: 10.1109/CoDIT.2018.8394824 Publisher: IEEE Conference Location: Thessaloniki, Greeceen_US
dc.identifier.otherConferences - Software Research Institute - AITen_US
dc.description.abstractThe “Internet of Things” has become a reality with projections of 28 billion connected devices by 2021. Much R&D is currently focused on creating methods to efficiently handle an influx of data. Flow based programming, where data is moved through a network of processes, is a model well suited to IoT. This paper proposes a dynamic, distributed data processing architecture, utilizing a flow based programming inspired approach. We illustrate a distributed configuration management protocol, which coordinates processing between edge devices and a central controller. Our proposed architecture is evaluated in a vehicle use case that predicts driver alertness. We present a scenario for reducing data on vehicular networks when the connectivity options are limited, while maintaining computational accuracy.en_US
dc.relation.ispartof2018 5th International Conference on Control, Decision and Information Technologies (CoDIT).en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.subjectFlow based programmingen_US
dc.subjectApache Nifien_US
dc.subjectApache Minifien_US
dc.subjectData prioritizationen_US
dc.subjectInternet of Thingsen_US
dc.titleA governance architecture for self-adaption & control in IoT applications.en_US
dc.identifier.doidoi: 10.1109/CoDIT.2018.8394824
dc.rights.accessOpen Accessen_US
dc.subject.departmentSoftware Research Institute AITen_US

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland