| 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 |
