TY - GEN
T1 - 6GSoft: Software for Edge-to-Cloud Continuum
AU - Akbar, Muhammad Azeem
AU - Esposito, Matteo
AU - Hyrynsalmi, Sami
AU - Kumar, Karthikeyan Dinesh
AU - Lenarduzzi, Valentina
AU - Li, Xiaozhou
AU - Mehraj, Ali
AU - Mikkonen, Tommi
AU - Moreschini, Sergio
AU - Mäkitalo, Niko
AU - Oivo, Markku
AU - Paavonen, Anna-Sofia
AU - Parveen, Risha
AU - Smolander, Kari
AU - Su, Ruoyu
AU - Systä, Kari
AU - Taibi, Davide
AU - Yang, Nan
AU - Zhang, Zheying
AU - Zohaib, Muhammad
PY - 2024/12/27
Y1 - 2024/12/27
N2 - In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustainable methods and energy-efficient orchestration models specifically for edge environments, enhancing architectural support driven by AI for contemporary edge-to-cloud continuum computing. This initiative seeks to position Finland at the forefront of the 6G landscape, focusing on sophisticated edge orchestration and robust software architectures to optimize the performance and scalability of edge networks. Collaborating with leading Finnish universities and companies, the project emphasizes deep industry-academia collaboration and international expertise to address critical challenges in edge orchestration and software architecture, aiming to drive significant advancements in software productivity and market impact.
AB - In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustainable methods and energy-efficient orchestration models specifically for edge environments, enhancing architectural support driven by AI for contemporary edge-to-cloud continuum computing. This initiative seeks to position Finland at the forefront of the 6G landscape, focusing on sophisticated edge orchestration and robust software architectures to optimize the performance and scalability of edge networks. Collaborating with leading Finnish universities and companies, the project emphasizes deep industry-academia collaboration and international expertise to address critical challenges in edge orchestration and software architecture, aiming to drive significant advancements in software productivity and market impact.
U2 - 10.1109/SEAA64295.2024.00082
DO - 10.1109/SEAA64295.2024.00082
M3 - Conference contribution
T3 - Proceedings of the EUROMICRO Conference on Software Engineering and Advanced Applications
SP - 499
EP - 506
BT - 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
PB - IEEE
T2 - Euromicro Conference on Software Engineering and Advanced Applications
Y2 - 28 August 2024 through 30 August 2024
ER -