ANIARA Project - Automation of Network Edge Infrastructure and Applications with Artificial Intelligence
Artikel i vetenskaplig tidskrift, 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.

Författare

Wolfgang John

Ericsson AB

Ali Balador

Ericsson AB

Jalil Taghia

Ericsson AB

Andreas Johnsson

Ericsson AB

Johan Sjöberg

Ericsson AB

Ian Marsh

RISE Research Institutes of Sweden

Jonas Gustafsson

RISE Research Institutes of Sweden

Federico Tonini

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Paolo Monti

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

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.

Ämneskategorier

Datorteknik

Telekommunikation

Kommunikationssystem

Datavetenskap (datalogi)

Styrkeområden

Informations- och kommunikationsteknik

DOI

10.1145/3591335.3591347

Mer information

Senast uppdaterat

2024-08-14