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Computer Science > Software Engineering

arXiv:2407.05963 (cs)
[Submitted on 8 Jul 2024 (v1), last revised 9 Jul 2024 (this version, v2)]

Title:6GSoft: Software for Edge-to-Cloud Continuum

Authors:Muhammad Azeem Akbar, Matteo Esposito, Sami Hyrynsalmi, Karthikeyan Dinesh Kumar, Valentina Lenarduzzi, Xiaozhou Li, Ali Mehraj, Tommi Mikkonen, Sergio Moreschini, Niko Mäkitalo, Markku Oivo, Anna-Sofia Paavonen, Risha Parveen, Kari Smolander, Ruoyu Su, Kari Systä, Davide Taibi, Nan Yang, Zheying Zhang, Muhammad Zohaib
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Abstract: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.
Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Networking and Internet Architecture (cs.NI); Social and Information Networks (cs.SI)
Cite as: arXiv:2407.05963 [cs.SE]
  (or arXiv:2407.05963v2 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2407.05963

Submission history

From: Matteo Esposito [view email]
[v1] Mon, 8 Jul 2024 14:03:17 UTC (207 KB)
[v2] Tue, 9 Jul 2024 04:12:42 UTC (38 KB)
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