Towards In-Network Computing Infrastructures for Connected Vehicles

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Towards In-Network Computing Infrastructures for Connected Vehicles

Grewe, Dennis; Nayak, Naresh; Ambalavanan, Uthra; Schildt, Sebastian
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URI: http://hdl.handle.net/10900/100408
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1004083
http://dx.doi.org/10.15496/publikation-41788
Dokumentart: ConferenceObject
Date: 2020-05-08
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Informatik
DDC Classifikation: 004 - Data processing and computer science
Keywords: Software-defined networking
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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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.

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