ANIARA Project - Automation of Network Edge Infrastructure and Applications with Artificial Intelligence
Journal article, 2023

Emerging use-cases like smart manufacturing and smart cities pose challenges in terms of latency, which cannot be satisfied by traditional centralized infrastructure. Edge networks, which bring computational capacity closer to the users/clients, are a promising solution for supporting these critical low latency services. Different from traditional centralized networks, the edge is distributed by nature and is usually equipped with limited compute capacity. This creates a complex network to handle, subject to failures of different natures, that requires novel solutions to work in practice. To reduce complexity, edge application technology enablers, advanced infrastructure and application orchestration techniques need to be in place where AI and ML are key players.

Author

Wolfgang John

Ericsson

Ali Balador

Ericsson

Jalil Taghia

Ericsson

Andreas Johnsson

Ericsson

Johan Sjöberg

Ericsson

Ian Marsh

RISE Research Institutes of Sweden

Jonas Gustafsson

RISE Research Institutes of Sweden

Federico Tonini

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Pontus Sköldström

Qamcom Research & Technology

Jim Dowling

Hopsworks

Ada User Journal

1381-6551 (ISSN)

Vol. 43 4 223-226

Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA

VINNOVA (2020-00763), 2020-06-15 -- 2023-10-31.

Subject Categories

Computer Engineering

Telecommunications

Communication Systems

Computer Science

Areas of Advance

Information and Communication Technology

DOI

10.1145/3591335.3591347

More information

Latest update

8/14/2024