通过机器学习、安全性、可持续性与实验网络集成增强网络切片架构
Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
AI总结：
针对现有网络切片架构仅能满足特定领域需求的问题，提出SFI2参考架构，集成实验网络并加入原生ML优化、节能及定制安全功能，实现跨多域多技术的端到端资源编排。
摘要：
网络切片（Network Slicing, NS）是广泛应用于5G网络计算策略、移动边缘计算、移动云计算以及车联网、工业物联网等垂直领域的关键技术。由于NS能够在需求各异、动态变化的客户群体之间优化和定制稀缺且竞争激烈的资源，它被视为6G未来高要求应用的核心使能技术之一。包括3GPP新一代网络提案在内的各类标准化组织，以及前沿的5G/6G研究项目都在提出新的NS架构。然而，新的NS架构必须应对极为广泛的需求，这本质上导致现有NS架构提案通常只能满足具有共性的特定领域集合的需求。Slicing Future Internet Infrastructures（SFI2，切片未来互联网基础设施）架构提案针对NS架构目标领域多样性带来的空白，提出了一种新的NS参考架构，其核心聚焦于实验网络集成，并通过机器学习（Machine Learning, ML）原生优化、节能切片和切片定制安全功能来增强NS架构。SFI2架构的主要贡献包括采用切片即服务范式，实现跨多领域、多技术实验网络的端到端资源编排。此外，SFI2参考架构的实例化将通过面向实际领域的原生ML优化、能效感知切片和切片定制安全功能，进一步完善多领域多技术集成的实验网络部署。
英文摘要：
Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly demanding applications since it allows the optimization and customization of scarce and disputed resources among dynamic, demanding clients with highly distinct application requirements. Various standardization organizations, like 3GPP's proposal for new generation networks and state-of-the-art 5G/6G research projects, are proposing new NS architectures. However, new NS architectures have to deal with an extensive range of requirements that inherently result in having NS architecture proposals typically fulfilling the needs of specific sets of domains with commonalities. The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. The SFI2 architectural main contribution includes the utilization of the slice-as-a-service paradigm for end-to-end orchestration of resources across multi-domains and multi-technology experimental networks. In addition, the SFI2 reference architecture instantiations will enhance the multi-domain and multi-technology integrated experimental network deployment with native ML optimization, energy-efficient aware slicing, and slicing-tailored security functionalities for the practical domain.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
