Energy consumption and carbon emissions are expected to be crucial factors for Internet of Things (IoT) applications. Both the scale and the geo-distribution keep increasing, while Artificial Intelligence (AI) further penetrates the "edge" in order to satisfy the need for highly-responsive and intelligent services. To date, several edge/fog emulators are catering for IoT testing by supporting the deployment and execution of AI-driven IoT services in consolidated test environments. These tools enable the configuration of infrastructures so that they closely resemble edge devices and IoT networks. However, energy consumption and carbon emissions estimations during the testing of AI services are still missing from the current state of IoT testing suites. This study highlights important questions that developers of AI-driven IoT services are in need of answers, along with a set of observations and challenges, aiming to help researchers designing IoT testing and benchmarking suites to cater to user needs.

翻译：能源消耗与碳排放预计将成为物联网应用的关键因素。随着物联网规模与地理分布持续扩大，人工智能进一步渗透至"边缘"侧，以满足高响应性智能服务的需求。目前，若干边缘/雾计算模拟器通过支持在整合测试环境中部署和执行人工智能驱动的物联网服务，为物联网测试提供了支撑。这些工具可配置基础设施，使其与边缘设备和物联网网络高度相似。然而，当前物联网测试套件在测试人工智能服务时仍缺乏对能耗与碳排放的评估能力。本研究揭示了人工智能驱动物联网服务开发者亟需解答的重要问题，并提出了系列观察与挑战，旨在帮助研究人员设计满足用户需求的物联网测试与基准测试套件。