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:能耗和碳排放预计将成为物联网应用的关键因素。规模和地理分布都在不断增加,而人工智能 (AI) 进一步渗透到“边缘”,以满足对高响应和智能服务的需求。迄今为止,几个边缘/雾模拟器通过支持部署和执行在整合测试环境中的 AI 驱动 IoT 服务来满足 IoT 测试的需求。这些工具使得基础设施的配置能够与边缘设备和物联网网络相似。然而,在测试 AI 服务的过程中,能源消耗和碳排放的估计仍然缺乏当前 IoT 测试套件的支持。这项研究突出了开发 AI 驱动的 IoT 服务时需要回答的重要问题以及一些观察和挑战,旨在帮助研究人员设计 IoT 测试和基准套件以满足用户需求。