The Many Faces of Edge Intelligence

Ella Peltonen; Ijaz Ahmad; Atakan Aral; Michele Capobianco; Aaron Yi Ding; Felipe Gil-Castineira; Ekaterina Gilman; Erkki Harjula; Marko Jurmu; Teemu Karvonen; Markus Kelanti; Teemu Leppanen; Lauri Loven; Tommi Mikkonen; Nitinder Mohan; Petteri Nurmi; Susanna Pirttikangas; Pawel Sroka; Sasu Tarkoma; Tingting Yang

doi:10.1109/ACCESS.2022.3210584

The Many Faces of Edge Intelligence

Ella Peltonen^*
, Ijaz Ahmad
, Atakan Aral
, Michele Capobianco
, Aaron Yi Ding
, Felipe Gil-Castineira
, Ekaterina Gilman
, Erkki Harjula
, Marko Jurmu
, Teemu Karvonen
, Markus Kelanti
, Teemu Leppanen
, Lauri Loven
, Tommi Mikkonen
, Nitinder Mohan
, Petteri Nurmi
, Susanna Pirttikangas
, Pawel Sroka
, Sasu Tarkoma
, Tingting Yang

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

32 Citations (Scopus)

Abstract

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.

Original language	English
Pages (from-to)	104769-104782
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3210584
Publication status	Published - 28 Sept 2022
MoE publication type	A1 Journal article-refereed

Funding

This paper has been written by an international expert group, led by the 6G Flagship at the University of Oulu, Finland (AoF grants 318927, 326291, 323630; Infotech Oulu grants B-TEA, TrustedMaaS). This work is partially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No. 101021808 and Marie Skłodowska-Curie grant agreement No. 956090, National Science Centre in Poland (grant 2018/29/B/ST7/01241), Austrian Science Fund (FWF grants Y 904-N31, I 5201-N), CHIST- ERA (grant CHIST-ERA-19-CES-005) and the City of Vienna (5G Use Case Challenge InTraSafEd 5G).

Keywords

5G
6G
Edge Computing
Edge Intelligence
edge computing
Edge intelligence

Access to Document

10.1109/ACCESS.2022.3210584Licence: CC BY

Cite this

Peltonen, E., Ahmad, I., Aral, A., Capobianco, M., Ding, A. Y., Gil-Castineira, F., Gilman, E., Harjula, E., Jurmu, M., Karvonen, T., Kelanti, M., Leppanen, T., Loven, L., Mikkonen, T., Mohan, N., Nurmi, P., Pirttikangas, S., Sroka, P., Tarkoma, S., & Yang, T. (2022). The Many Faces of Edge Intelligence. IEEE Access, 10, 104769-104782. https://doi.org/10.1109/ACCESS.2022.3210584

@article{769b66fb7179407fbff20523961114fd,

title = "The Many Faces of Edge Intelligence",

abstract = "Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.",

keywords = "5G, 6G, Edge Computing, Edge Intelligence, edge computing, Edge intelligence",

author = "Ella Peltonen and Ijaz Ahmad and Atakan Aral and Michele Capobianco and Ding, \{Aaron Yi\} and Felipe Gil-Castineira and Ekaterina Gilman and Erkki Harjula and Marko Jurmu and Teemu Karvonen and Markus Kelanti and Teemu Leppanen and Lauri Loven and Tommi Mikkonen and Nitinder Mohan and Petteri Nurmi and Susanna Pirttikangas and Pawel Sroka and Sasu Tarkoma and Tingting Yang",

year = "2022",

month = sep,

day = "28",

doi = "10.1109/ACCESS.2022.3210584",

language = "English",

volume = "10",

pages = "104769--104782",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

}

TY - JOUR

T1 - The Many Faces of Edge Intelligence

AU - Peltonen, Ella

AU - Ahmad, Ijaz

AU - Aral, Atakan

AU - Capobianco, Michele

AU - Ding, Aaron Yi

AU - Gil-Castineira, Felipe

AU - Gilman, Ekaterina

AU - Harjula, Erkki

AU - Jurmu, Marko

AU - Karvonen, Teemu

AU - Kelanti, Markus

AU - Leppanen, Teemu

AU - Loven, Lauri

AU - Mikkonen, Tommi

AU - Mohan, Nitinder

AU - Nurmi, Petteri

AU - Pirttikangas, Susanna

AU - Sroka, Pawel

AU - Tarkoma, Sasu

AU - Yang, Tingting

PY - 2022/9/28

Y1 - 2022/9/28

N2 - Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.

AB - Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.

KW - 5G

KW - 6G

KW - Edge Computing

KW - Edge Intelligence

KW - edge computing

KW - Edge intelligence

UR - https://www.scopus.com/pages/publications/85139437302

U2 - 10.1109/ACCESS.2022.3210584

DO - 10.1109/ACCESS.2022.3210584

M3 - Article

AN - SCOPUS:85139437302

SN - 2169-3536

VL - 10

SP - 104769

EP - 104782

JO - IEEE Access

JF - IEEE Access

ER -

The Many Faces of Edge Intelligence

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this