TECoSA – Trends, Drivers, and Strategic Directions for Trustworthy Edge Computing in Industrial Applications

Autor: Gross, James, Törngren, Martin, Dán, György, Broman, David, Herzog, Erik, Leite, Iolanda, Ramakrishna, Raksha, Stower, Rebecca, Thompson, Haydn
Rok vydání: 2022
Předmět:
Zdroj: INSIGHT. 25:29-34
ISSN: 2156-4868
2156-485X
DOI: 10.1002/inst.12408
Popis: TECoSA – a university-based research center in collaboration with industry – was established early in 2020, focusing on Trustworthy Edge Computing Systems and Applications. This article summarizes and assesses the current trends and drivers regarding edge computing. In our analysis, edge computing provided by mobile network operators will be the initial dominating form of this new computing paradigm for the coming decade. These insights form the basis for the research agenda of the TECoSA center, highlighting more advanced use cases, including AR/VR/Cognitive Assistance, cyber-physical systems, and distributed machine learning. The article further elaborates on the identified strategic directions given these trends, emphasizing testbeds and collaborative multidisciplinary research. QC 20230626 TECoSA center (https://www.tecosa.center.kth.se/)
Databáze: OpenAIRE