智能自适应边缘系统:探索与挑战

Intelligent adaptive edge systems:exploration and open issues

边缘智能已成为新一代物联网的发展趋势。边缘计算设备地理分布广,设备种类多,服务多样化,时延敏感,终端具备移动性。因此,边缘系统需要提供灵活多样的、可重构可扩充的服务。通过将自适应思想融入边缘计算,首先探索了智能自适应边缘系统应用需求,分析并总结了现有自适应边缘系统基础框架,并将深度学习、强化学习等人工智能技术应用于自适应边缘系统。然后,介绍了如何在特定的应用领域设计专门的智能算法。最后,探讨了该领域的发展潜力以及未来面临的挑战。

Edge intelligence has emerged as a promising trend of the new generation of Internet of things.Edge computing devices are widely distributed,with various diverse end devices and services,delay sensitive,and serve mobile terminals.Therefore,the edge system needs to provide flexible,diverse,reconfigurable and scalable services.From the application fields of adaptive edge computing,the application requirements of intelligent adaptive edge systems were explored,the existing adaptive edge systems and their basic framework were analyzed and summarized,and the application of artificial intelligence technologies was discussed,such as deep learning and reinforcement learning.Then,how to design a special intelligent algorithm in specific application fields was introduced.Finally,the research status and future challenges in this field were discussed.