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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Sammanfattning

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.

Originalspråk	engelska
Tidskrift	IEEE Access
Volym	10
Sidor (från-till)	104769 - 104782
Antal sidor	14
ISSN	2169-3536
DOI	https://doi.org/10.1109/ACCESS.2022.3210584
Status	Publicerad - sep. 2022
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

113 Data- och informationsvetenskap

Åtkomst av dokument

10.1109/ACCESS.2022.3210584Licens: CC BY

FINAL ArticleAccepterat manuskript från författare, 16,9 MBLicens: CC BY
09905603Slutlig publicerad version, 2,16 MBLicens: CC BY

Citera det här

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

@article{4e64094adeb846a893caa53e2705021a,

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",

volume = "10",

pages = "104769 -- 104782",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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, s. 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

Y1 - 2022/9

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 - 113 Computer and information sciences

KW - Artificial intelligence

KW - Edge computing

KW - Cloud computing

KW - Low latency communication

KW - Real-time systems

KW - Technological innovation

KW - Image edge detection

KW - Edge intelligence

KW - edge computing

KW - 5G

KW - 6G

KW - ARTIFICIAL-INTELLIGENCE

KW - CHALLENGES

KW - COMMUNICATION

KW - OPPORTUNITIES

KW - INTERNET

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