Dealing with intensive distributed video-traffic in reconfigurable automation applications

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dc.contributor.authorCalvo, Isidro
dc.contributor.authorGonzález, Mikel
dc.contributor.authorPérez, Federico
dc.contributor.authorNoguero, Adrian
dc.contributor.editorMartinez Garcia, Herminio
dc.contributor.editorGrau, Antoni
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:50:01Z
dc.date.available2024-07-24T11:50:01Z
dc.date.issued2014-01-08
dc.descriptionPublisher Copyright: © 2014 IEEE.
dc.description.abstractVideo traffic is increasingly used in modern factory automation applications in order to improve the quality of the processes. However, since they require high bandwidth it may be difficult for critical applications to adapt dynamically to bandwidth requirements that may change in time, without affecting the performance of the overall applications, especially when they are time-sensitive. In this scenario, the use of high-level middleware architectures may ease this task by providing mechanisms to reconfigure the systems at run-time. This work shows how the so-called FTT-MA (Flexible Time-Triggered Middleware Architecture) may be used in a sample application in order to manage the bandwidth of a laboratory application in which several video cameras are involved. FTT-MA hides the complexity of modifying the bandwidth requirements of the application at runtime according to the needs of the application.en
dc.description.statusPeer reviewed
dc.identifier.citationCalvo , I , González , M , Pérez , F & Noguero , A 2014 , Dealing with intensive distributed video-traffic in reconfigurable automation applications . in H Martinez Garcia & A Grau (eds) , 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 . , 7005281 , 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 , Institute of Electrical and Electronics Engineers Inc. , 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 , Barcelona , Spain , 16/09/14 . https://doi.org/10.1109/ETFA.2014.7005281
dc.identifier.citationconference
dc.identifier.doi10.1109/ETFA.2014.7005281
dc.identifier.isbn9781479948468
dc.identifier.urihttps://hdl.handle.net/11556/1934
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84946690812&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
dc.relation.ispartofseries19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsSDG 9 - Industry, Innovation, and Infrastructure
dc.titleDealing with intensive distributed video-traffic in reconfigurable automation applicationsen
dc.typeconference output
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