A novel framework for scheduling distributed tasks

Simple item page
dc.contributor.authorNoguero, Adrián
dc.contributor.authorCalvo, Isidro
dc.contributor.authorPérez, Federico
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:54:45Z
dc.date.available2024-07-24T11:54:45Z
dc.date.issued2009
dc.description.abstractSchedulability of distributed real-time applications has been an intensive research topic in the last years as embedded devices have become more and more powerful in terms of computing power, memory and communication resources. Many solutions have been proposed, yet no one has achieved sufficient relevance. This paper describes a novel framework for distributed real-time embedded systems scheduling inspired in modern operating system schedulers and multi-CPU systems. Moreover, the proposed architecture enables optimization and provides flexibility, good scalability and adaptability.en
dc.description.statusPeer reviewed
dc.identifier.citationNoguero , A , Calvo , I & Pérez , F 2009 , A novel framework for scheduling distributed tasks . in ETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation . , 5347233 , ETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation , 2009 IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2009 , Mallorca , Spain , 22/09/09 . https://doi.org/10.1109/ETFA.2009.5347233
dc.identifier.citationconference
dc.identifier.doi10.1109/ETFA.2009.5347233
dc.identifier.isbn9781424427284
dc.identifier.urihttps://hdl.handle.net/11556/2437
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77949876958&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation
dc.relation.ispartofseriesETFA 2009 - 2009 IEEE Conference on Emerging Technologies and Factory Automation
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsControl and Systems Engineering
dc.titleA novel framework for scheduling distributed tasksen
dc.typeconference output
Files