With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities. With a predicted increase of 10-100x in bandwidth and 5-10x decrease in latency, 5G is expected to be the main enabler for smart cities, smart IoT and efficient healthcare, where machine learning is conducted at the edge. In this context, we investigate how 5G can help the development of federated learning. Network slicing, another key feature of 5G, allows running multiple isolated networks on the same physical infrastructure. However, security remains the main concern in the context of virtualization, multi-tenancy and high device density. Formal verification of 5G networks can be applied to detect security issues in massive virtualized environments. In summary, 5G will make the world even more densely and closely connected. What we have experienced in 4G connectivity will pale in comparison to the vast amounts of possibilities engendered by 5G.
翻译:5G即将被采纳为下一个移动网络,因此有必要分析其对计算和数据管理格局的影响。在本文中,我们分析了5G对传统和新兴技术的影响,并对未来研究的挑战和机遇提出了我们的看法。随着带宽预计增加10-100x,延缓度预计减少5-10x,预计5G将是智能城市、智能IoT和高效保健的主要推动者,在边缘进行机器学习。在这方面,我们调查5G如何帮助联邦学习的发展。网络断层是5G的另一个关键特征,允许在同一有形基础设施上运行多个孤立的网络。然而,在虚拟化、多租赁和高设备密度方面,安全仍然是主要关切问题。对5G网络的正式核查可用于在大规模虚拟化环境中发现安全问题。总而言之,5G将使世界更加密集和紧密地连接。我们所经历的4G连通度将比5G产生巨大的可能性更加微弱。