  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.
