License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.11.7.76
URN: urn:nbn:de:0030-drops-155906
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/15590/
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Ding, Aaron ; Peltonen, Ella ; Tarkoma, Sasu ; Wolf, Lars
Weitere Beteiligte (Hrsg. etc.): Aaron Ding and Ella Peltonen and Sasu Tarkoma and Lars Wolf

Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)

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dagrep_v011_i007_p076_21342.pdf (3 MB)

Abstract

Edge computing, a key part of the 5G networks and beyond, promises to decentralize cloud applications while providing more bandwidth and reducing latencies. The promises are delivered by moving application-specific computations between the cloud, the data-producing devices, and the network infrastructure components at the edges of wireless and fixed networks. However, the current AI/ML methods assume computations are conducted in a powerful computational infrastructure, such as a homogeneous cloud with ample computing and data storage resources available. In this seminar, we discussed and developed presumptions for a comprehensive view of AI methods and capabilities in the context of edge computing, and provided a roadmap to bring together enablers and key aspects for edge computing and applied AI/ML fields.

BibTeX - Entry

@Article{ding_et_al:DagRep.11.7.76,
  author =	{Ding, Aaron and Peltonen, Ella and Tarkoma, Sasu and Wolf, Lars},
  title =	{{Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)}},
  pages =	{76--88},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{7},
  editor =	{Ding, Aaron and Peltonen, Ella and Tarkoma, Sasu and Wolf, Lars},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/15590},
  URN =		{urn:nbn:de:0030-drops-155906},
  doi =		{10.4230/DagRep.11.7.76},
  annote =	{Keywords: artificial intelligence, communication networks, edge computing, intelligent networking}
}

Keywords: artificial intelligence, communication networks, edge computing, intelligent networking
Collection: DagRep, Volume 11, Issue 7
Issue Date: 2021
Date of publication: 22.12.2021

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