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：

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边缘计算中支持 AI 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以设计分布式架构并安全地增强决策应用程序，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，需要将边缘应用开发为一组轻量级和相互依赖的模块。由于这一概念与微服务架构的目标一致，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具有充分利用边缘节点功能的前景。在物联网边缘部署微服务面临着许多与安全和隐私相关的挑战。人工智能 (AI)（尤其是机器学习）的进步，以及通过强大的计算轻松访问资源，为在网络边缘推导精确模型和开发不同的智能应用程序提供了机会。在这项研究中，提出了一项广泛的调查，以保护基于边缘计算的人工智能微服务，以阐明物联网管理的挑战，并在边缘实现安全的决策系统。我们介绍了最近关于边缘 AI 和微服务编排的研究，并强调了在物联网边缘保护微服务的关键要求和挑战。我们还提出了一个基于微服务的边缘计算框架，它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。