The evolution of Internet of Things (IoT) technology has led to an increased emphasis on edge computing for Cyber-Physical Systems (CPS), in which applications rely on processing data closer to the data sources, and sharing the results across heterogeneous clusters. This has simplified the data exchanges between IoT/CPS systems, the cloud, and the edge for managing low latency, minimal bandwidth, and fault-tolerant applications. Nonetheless, many of these applications administer data collection on the edge and offer data analytic and storage capabilities in the cloud. This raises the problem of separate software stacks between the edge and the cloud with no unified fault-tolerant management, hindering dynamic relocation of data processing. In such systems, the data must also be preserved from being corrupted or duplicated in the case of intermittent long-distance network connectivity issues, malicious harming of edge devices, or other hostile environments. Within this context, the contributions of this paper are threefold: (i) to propose a new Internet of Things Edge-Cloud Federation (IoTEF) architecture for multi-cluster IoT applications by adapting our earlier Cloud and Edge Fault-Tolerant IoT (CEFIoT) layered design. We address the fault tolerance issue by employing the Apache Kafka publish/subscribe platform as the unified data replication solution. We also deploy Kubernetes for fault-tolerant management, combined with the federated scheme, offering a single management interface and allowing automatic reconfiguration of the data processing pipeline, (ii) to formulate functional and non-functional requirements of our proposed solution by comparing several IoT architectures, and (iii) to implement a smart buildings use case of the ongoing Otaniemi3D project as proof-of-concept for assessing IoTEF capabilities. The experimental results conclude that the architecture minimizes latency, saves network bandwidth, and handles both hardware and network connectivity based failures.

中文翻译：

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IoTEF：容错物联网应用程序的联合边缘云架构

物联网（IoT）技术的发展导致人们越来越重视网络物理系统（CPS）的边缘计算，其中应用程序依赖于处理更接近数据源的数据，并在异构集群之间共享结果。这简化了IoT / CPS系统，云和用于管理低延迟，最小带宽和容错应用程序的边缘之间的数据交换。尽管如此，许多这些应用程序还是在边缘管理数据收集，并在云中提供数据分析和存储功能。这就产生了边缘与云之间没有统一的容错管理的单独软件堆栈的问题，从而阻碍了数据处理的动态重定位。在这样的系统中 在间歇性的长距离网络连接问题，对边缘设备的恶意损害或其他敌对环境的情况下，还必须防止数据被破坏或重复。在此背景下，本文的贡献包括三方面：（i）通过改编我们先前的云和边缘容错物联网（CEFIoT），为多集群物联网应用提出一种新的物联网边缘云联合（IoTEF）架构。分层设计。我们通过采用Apache Kafka发布/订阅平台作为统一数据复制解决方案来解决容错问题。我们还将Kubernetes部署用于容错管理，并与联合方案相结合，提供单个管理界面并允许自动重新配置数据处理管道，（ii）通过比较几种物联网架构来制定我们提出的解决方案的功能和非功能需求，以及（iii）实施正在进行的Otaniemi3D项目的智能建筑用例，作为评估IoTEF功能的概念证明。实验结果表明，该体系结构最大程度地减少了延迟，节省了网络带宽，并处理了基于硬件和网络连接的故障。