6GSoft: Software for Edge-to-Cloud Continuum
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916317219520512 |
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| author | Akbar, Muhammad Azeem Esposito, Matteo Hyrynsalmi, Sami Kumar, Karthikeyan Dinesh Lenarduzzi, Valentina Li, Xiaozhou Mehraj, Ali Mikkonen, Tommi Moreschini, Sergio Mäkitalo, Niko Oivo, Markku Paavonen, Anna-Sofia Parveen, Risha Smolander, Kari Su, Ruoyu Systä, Kari Taibi, Davide Yang, Nan Zhang, Zheying Zohaib, Muhammad |
| author_facet | Akbar, Muhammad Azeem Esposito, Matteo Hyrynsalmi, Sami Kumar, Karthikeyan Dinesh Lenarduzzi, Valentina Li, Xiaozhou Mehraj, Ali Mikkonen, Tommi Moreschini, Sergio Mäkitalo, Niko Oivo, Markku Paavonen, Anna-Sofia Parveen, Risha Smolander, Kari Su, Ruoyu Systä, Kari Taibi, Davide Yang, Nan Zhang, Zheying Zohaib, Muhammad |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_05963 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 6GSoft: Software for Edge-to-Cloud Continuum Akbar, Muhammad Azeem Esposito, Matteo Hyrynsalmi, Sami Kumar, Karthikeyan Dinesh Lenarduzzi, Valentina Li, Xiaozhou Mehraj, Ali Mikkonen, Tommi Moreschini, Sergio Mäkitalo, Niko Oivo, Markku Paavonen, Anna-Sofia Parveen, Risha Smolander, Kari Su, Ruoyu Systä, Kari Taibi, Davide Yang, Nan Zhang, Zheying Zohaib, Muhammad Software Engineering Artificial Intelligence Networking and Internet Architecture Social and Information Networks 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. |
| title | 6GSoft: Software for Edge-to-Cloud Continuum |
| topic | Software Engineering Artificial Intelligence Networking and Internet Architecture Social and Information Networks |
| url | https://arxiv.org/abs/2407.05963 |