In the last decade, the Internet of Things paradigm has caused an exponential increase in the number of connected devices. This trend brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services and applications. Despite its great benefits, this paradigm also comes with several challenges. More powerful storage and processing capabilities are required to service all these devices. Additionally, the need to deploy and manage the infrastructure to efficiently support these resources continues to pose a challenge. Modeling and simulation can help to design and analyze these scenarios, providing flexible and powerful mechanisms to study and compare different strategies and infrastructures. In this scenario, Micro Data Centers (MDCs) can be used as an effective way of reducing overwhelmed Cloud Data Center infrastructures. This paper explores an M\&S methodology to study the overall power consumption of a healthcare IoT scenario. The patients wear non-intrusive monitoring devices that periodically generate tasks to be executed in MDCs. We extract the layout of existing urban infrastructures, simulate the monitored population's behavior, and compare the power consumption of several data center configurations.

翻译：过去十年间，物联网范式促使联网设备数量呈指数级增长。这一趋势将互联网更紧密地融入日常生活，并能够收集数据以创建和改进各类服务与应用。尽管该范式带来了巨大益处，但也伴随着诸多挑战：需要更强大的存储和处理能力来服务所有设备；同时，如何部署和管理基础设施以高效支持这些资源仍是一项难题。建模与仿真有助于设计和分析这些场景，提供灵活且强大的机制来研究和比较不同策略与基础设施。在此背景下，微数据中心可作为减轻云数据中心基础设施压力的有效手段。本文探索了一种建模与仿真方法，用于研究医疗物联网场景的整体功耗。患者佩戴非侵入式监测设备，这些设备周期性地生成任务并提交至微数据中心执行。我们提取现有城市基础设施的布局，模拟受监测人群的行为模式，并比较多种数据中心配置下的功耗水平。