We introduce a system for Autonomic Management of Power Consumption in setups that involve Internet of Things (IoT) and Fog Computing. The Central IoT (CIoT) is a Fog Computing based solution to provide advanced orchestration mechanisms to manage dynamic duty cycles for extra energy savings. The solution works by adjusting Home (H) and Away (A) cycles based on contextual information, like environmental conditions, user behavior, behavior variation, regulations on energy and network resources utilization, among others. Performance analysis through a proof of concept present average energy savings of 58.4%, reaching up to 61.51% when augmenting with a scheduling system and variable long sleep cycles (LS). However, there is no linear relation increasing LS time and more savings. The significance of this research is to promote autonomic management as a solution to develop more energy efficient buildings and smarter cities, towards sustainable goals.

中文翻译：

---

物联网和雾计算的功耗自动管理

我们在涉及物联网（IoT）和雾计算的设置中引入了一种用于功耗自动管理的系统。中央物联网（CIoT）是基于雾计算的解决方案，可提供高级编排机制来管理动态占空比，以节省更多能源。该解决方案通过根据上下文信息（例如环境条件，用户行为，行为变化，能源和网络资源利用的法规）调整家庭（H）和离开（A）周期来工作。通过概念验证进行的性能分析表明，平均节能量为58.4％，在使用调度系统和可变的长睡眠周期（LS）进行扩充时，可达到61.51％。但是，没有线性关系会增加LS时间并节省更多时间。