Towards In-Network Computing Infrastructures for Connected Vehicles

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dc.contributor.author Grewe, Dennis
dc.contributor.author Nayak, Naresh
dc.contributor.author Ambalavanan, Uthra
dc.contributor.author Schildt, Sebastian
dc.date.accessioned 2020-05-08T13:08:52Z
dc.date.available 2020-05-08T13:08:52Z
dc.date.issued 2020-05-08
dc.identifier.other 1697820638 de_DE
dc.identifier.uri http://hdl.handle.net/10900/100408
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1004083 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-41788
dc.description.abstract The demands of Highly Automated Driving (HAD) applications with respect to the underlying computing and networking infrastructure vary widely from the contemporary cloud applications. Named Function Networking (NFN) as a computing concept along with loose coupling provided by the Information Centric Networking (ICN) enables implementation of several usecases with respect to autonomous driving. In this paper, we present NFN for automotive applications with modified resolution strategies along with a proof-of-concept implementation. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Software-defined networking de_DE
dc.subject.ddc 004 de_DE
dc.title Towards In-Network Computing Infrastructures for Connected Vehicles en
dc.type ConferenceObject de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.opus.portal kuvs-nets2 de_DE

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