Semantic Slicing across the Distributed Intelligent 6G Wireless Networks
Lovén, Lauri; Shahid, Hafiz Faheem; Nguyen, Le; Harjula, Erkki; Silvén, Olli; Pirttikangas, Susanna; López, Miguel Bordallo (2023-10-23)
IEEE
23.10.2023
L. Lovén et al., "Semantic Slicing across the Distributed Intelligent 6G Wireless Networks," 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Madrid, Spain, 2023, pp. 79-84, doi: 10.1109/SECON58729.2023.10287519
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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202311283389
https://urn.fi/URN:NBN:fi:oulu-202311283389
Tiivistelmä
Abstract:
In the age of the Internet of Things (IoT) and the expanding computing continuum, it’s crucial to manage and share resources at the edges of networks. This position paper presents a new concept known as ’semantic slicing’. This approach harnesses the power of artificial intelligence (AI), wireless networks, edge computing, and sensing technologies to enable novel applications, optimize resource allocation, and streamline data processing and decision-making across complex systems spanning the computing continuum. Semantic slicing applies a deep understanding of the data and specific application requirements to intelligently allocate resources and distribute processing tasks in the computing continuum. This strategy allows for the creation of systems that are not only more efficient and responsive, but also better equipped to adapt to a variety of applications and services.
In the age of the Internet of Things (IoT) and the expanding computing continuum, it’s crucial to manage and share resources at the edges of networks. This position paper presents a new concept known as ’semantic slicing’. This approach harnesses the power of artificial intelligence (AI), wireless networks, edge computing, and sensing technologies to enable novel applications, optimize resource allocation, and streamline data processing and decision-making across complex systems spanning the computing continuum. Semantic slicing applies a deep understanding of the data and specific application requirements to intelligently allocate resources and distribute processing tasks in the computing continuum. This strategy allows for the creation of systems that are not only more efficient and responsive, but also better equipped to adapt to a variety of applications and services.
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