CANDIS: Heterogenous Mobile Cloud Framework and Energy Cost-Aware Scheduling

We present CANDIS, a framework that can distribute computing tasks to a computing cloud consisting of mobile devices running Android as well as computers. We argue how integrating mobile devices into an IT infrastructure makes ecologic sense while saving costs at the same time. We show how fluctuating energy spot market prices due to demand and varying supply could be fed into a Candis scheduler to further reduce costs of computation by shifting it to times of cheap energy prices. Thus, the presented approach can increase a business´ sustainability, save money and - if applied on a larger scale - help to stabilize electricity grids when industrialized countries continue their move to renewables.