Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)

Ding, Aaron; Peltonen, Ella; Tarkoma, Sasu; Wolf, Lars

doi:10.4230/DagRep.11.7.76

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Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342)

Authors Aaron Ding, Ella Peltonen, Sasu Tarkoma, Lars Wolf and all authors of the abstracts in this report

Part of: Issue: Dagstuhl Reports, Volume 11, Issue 7
Part of: Volume: Dagstuhl Reports, Volume 11
Part of: Journal: Dagstuhl Reports (DagRep)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2021-12-22

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DagRep.11.7.76.pdf

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Document Identifiers

DOI: 10.4230/DagRep.11.7.76
URN: urn:nbn:de:0030-drops-155906

Subject Classification

ACM Subject Classification

Computer systems organization → Distributed architectures
Computing methodologies → Artificial intelligence
Networks

Keywords

artificial intelligence
communication networks
edge computing
intelligent networking

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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.

Cite As Get BibTex

Aaron Ding, Ella Peltonen, Sasu Tarkoma, and Lars Wolf. Identifying Key Enablers in Edge Intelligence (Dagstuhl Seminar 21342). In Dagstuhl Reports, Volume 11, Issue 7, pp. 76-88, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/DagRep.11.7.76

Author Details

Aaron Ding

TU Delft, NL

Ella Peltonen

University of Oulu, FI

Sasu Tarkoma

University of Helsinki, FI

Lars Wolf

TU Braunschweig, DE

and all authors of the abstracts in this report

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