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dc.contributor.authorKirner, Raimund
dc.date.accessioned2020-08-28T00:02:28Z
dc.date.available2020-08-28T00:02:28Z
dc.date.issued2019-12-09
dc.identifier.citationKirner , R 2019 , Design Patterns to Build Large Resilient and Predictable Systems . in 2019 International Conference on Promising Electronic Technologies (ICPET) : Proceedings . Institute of Electrical and Electronics Engineers (IEEE) , pp. 1-3 , Conference on Promising Electronic Technologies , Gaza City , Palestine, State of , 23/10/19 . https://doi.org/10.1109/ICPET.2019.00008
dc.identifier.citationconference
dc.identifier.isbn9781728123387
dc.identifier.isbn9781728123370
dc.identifier.urihttp://hdl.handle.net/2299/23079
dc.description.abstractBuilding large resilient and computer systems can be challenging, especially when temporal predictability is also required. Large resilient systems are typically composed of different networking technologies, for example, using different wired and wireless communication technologies. Building such systems with safety-relevant services demands appropriate system interfaces and algorithmic concepts. In this talk we present some design patterns that are useful to build such large resilient and predictable systems. Often, the underlying communication medium does not provide the reliability and real-time properties that are needed for a concrete application. In such a case the presented design patterns can be implemented as a communication layer on top of the underlying communication system. We discuss design patterns for interaction autonomy, system communication and reliability.en
dc.format.extent3
dc.format.extent377290
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2019 International Conference on Promising Electronic Technologies (ICPET)
dc.subjectresilience
dc.subjectpredictability
dc.subjectarge systems
dc.subjectsystem of systems
dc.subjectcomposability
dc.subjectInformation Systems
dc.subjectComputer Networks and Communications
dc.titleDesign Patterns to Build Large Resilient and Predictable Systemsen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
rioxxterms.versionofrecord10.1109/ICPET.2019.00008
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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