The paradigm of edge computing has formed an innovative scope within the domain of the Internet of Things (IoT) through expanding the services of the cloud to the network edge to design distributed architectures and securely enhance decision-making applications. Due to the heterogeneous, distributed and resource-constrained essence of edge Computing, edge applications are required to be developed as a set of lightweight and interdependent modules. As this concept aligns with the objectives of microservice architecture, effective implementation of microservices-based edge applications within IoT networks has the prospective of fully leveraging edge nodes capabilities. Deploying microservices at IoT edge faces plenty of challenges associated with security and privacy. Advances in Artificial Intelligence (AI) (especially Machine Learning), and the easy access to resources with powerful computing providing opportunities for deriving precise models and developing different intelligent applications at the edge of network. In this study, an extensive survey is presented for securing edge computing-based AI Microservices to elucidate the challenges of IoT management and enable secure decision-making systems at the edge. We present recent research studies on edge AI and microservices orchestration and highlight key requirements as well as challenges of securing Microservices at IoT edge. We also propose a Microservices-based edge computing framework that provides secure edge AI algorithms as Microservices utilizing the containerization technology to offer automated and secure AI-based applications at the network edge.

中文翻译：

---

边缘计算中支持人工智能的安全微服务：机遇与挑战


边缘计算范式通过将云服务扩展到网络边缘来设计分布式架构并安全地增强决策应用程序，从而在物联网（IoT）领域形成了创新范围。由于边缘计算的异构、分布式和资源受限的本质，边缘应用需要开发为一组轻量级且相互依赖的模块。由于这一概念与微服务架构的目标相一致，因此在物联网网络中有效实施基于微服务的边缘应用程序有可能充分利用边缘节点的功能。在物联网边缘部署微服务面临着与安全和隐私相关的许多挑战。人工智能（AI）（特别是机器学习）的进步，以及通过强大的计算轻松访问资源，为导出精确模型和在网络边缘开发不同的智能应用程序提供了机会。在本研究中，针对确保基于边缘计算的人工智能微服务的安全进行了广泛的调查，以阐明物联网管理的挑战并实现边缘的安全决策系统。我们介绍了关于边缘人工智能和微服务编排的最新研究，并强调了在物联网边缘保护微服务的关键要求和挑战。我们还提出了一种基于微服务的边缘计算框架，该框架提供安全的边缘人工智能算法作为微服务，利用容器化技术在网络边缘提供自动化和安全的基于人工智能的应用程序。