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.
Original language | English |
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Title of host publication | 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 79-84 |
Number of pages | 6 |
ISBN (Electronic) | 9798350300529 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Article in a conference publication |
Event | 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023 - Madrid, Spain Duration: 11 Sept 2023 → 14 Sept 2023 |
Conference
Conference | 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023 |
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Country/Territory | Spain |
City | Madrid |
Period | 11/09/23 → 14/09/23 |
Funding
This research is supported by the Academy of Finland through the 6G Flag-ship program (Grant 318927) and the Profi5 DigiHealth and HiDyn projects (Grant 326291); by the European Commission through the CONVERGE project under the European Union’s Horizon Europe research and innovation actions program (Grant 101094831), and the ECSEL JU FRACTAL project (Grant 877056), receiving support from the EU Horizon 2020 program and Spain, Italy, Austria, Germany, France, Finland, Switzerland; and finally by Business Finland through the Neural pub/sub research project (diary number 8754/31/2022). This research is supported by the Academy of Finland through the 6G Flagship program (Grant 318927) and the Profi5 DigiHealth and HiDyn projects (Grant 326291); by the European Commission through the CONVERGE project under the European Union s Horizon Europe research and innovation actions program (Grant 101094831), and the ECSEL JU FRACTAL project (Grant 877056), receiving support from the EU Horizon 2020 program and Spain, Italy, Austria, Germany, France, Finland, Switzerland; and finally by Business Finland through the Neural pub/sub research project (diary number 8754/31/2022).