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 Leppänen; Lauri Lovén; Tommi Mikkonen; Nitinder Mohan; Petteri Nurmi; Susanna Pirttikangas; Paweł Sroka; Sasu Tarkoma; Tinting 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 Leppänen, Lauri Lovén, Tommi Mikkonen, Nitinder Mohan, Petteri Nurmi, Susanna Pirttikangas, Paweł Sroka, Sasu Tarkoma, Tinting Yang

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

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
Journal	IEEE Access
Volume	10
Pages (from-to)	104769 - 104782
Number of pages	14
ISSN	2169-3536
DOIs	https://doi.org/10.1109/ACCESS.2022.3210584
Publication status	Published - Sept 2022
MoE publication type	A1 Journal article-refereed

Fields of Science

113 Computer and information sciences
Artificial intelligence
Edge computing
Cloud computing
Low latency communication
Real-time systems
Technological innovation
Image edge detection
Edge intelligence
edge computing
5G
6G
ARTIFICIAL-INTELLIGENCE
CHALLENGES
COMMUNICATION
OPPORTUNITIES
INTERNET

Access to Document

10.1109/ACCESS.2022.3210584Licence: CC BY

FINAL ArticleAccepted author manuscript, 16.9 MBLicence: CC BY
09905603Final published version, 2.16 MBLicence: 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., Leppänen, T., Lovén, 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

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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 = "113 Computer and information sciences, Artificial intelligence, Edge computing, Cloud computing, Low latency communication, Real-time systems, Technological innovation, Image edge detection, Edge intelligence, edge computing, 5G, 6G, ARTIFICIAL-INTELLIGENCE, CHALLENGES, COMMUNICATION, OPPORTUNITIES, INTERNET",

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 Lepp{\"a}nen and Lauri Lov{\'e}n and Tommi Mikkonen and Nitinder Mohan and Petteri Nurmi and Susanna Pirttikangas and Pawe{\l} Sroka and Sasu Tarkoma and Tinting Yang",

year = "2022",

month = sep,

doi = "10.1109/ACCESS.2022.3210584",

language = "English",

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Peltonen, E, Ahmad, I, Aral, A, Capobianco, M, Ding, AY, Gil-Castineira, F, Gilman, E, Harjula, E, Jurmu, M, Karvonen, T, Kelanti, M, Leppänen, T, Lovén, L, Mikkonen, T, Mohan, N, Nurmi, P, Pirttikangas, S, Sroka, P, Tarkoma, S & Yang, T 2022, 'The Many Faces of Edge Intelligence', IEEE Access, vol. 10, pp. 104769 - 104782. https://doi.org/10.1109/ACCESS.2022.3210584

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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 - Leppänen, Teemu

AU - Lovén, Lauri

AU - Mikkonen, Tommi

AU - Mohan, Nitinder

AU - Nurmi, Petteri

AU - Pirttikangas, Susanna

AU - Sroka, Paweł

AU - Tarkoma, Sasu

AU - Yang, Tinting

PY - 2022/9

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KW - Low latency communication

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KW - edge computing

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KW - 6G

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KW - COMMUNICATION

KW - OPPORTUNITIES

KW - INTERNET

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