Optimizing Energy Consumption in Broker-Assisted Cyber Foraging Systems

In this paper, we present our work in the area of Cyber Foraging (CF), which enables mobile devices to offload heavy computations to resourceful computing nodes. The main focus of the paper is to minimize the total energy consumption across all the mobile devices in a large Cyber Foraging System (CFS). We use a centralized architecture where a broker node handles the task scheduling. We model the task scheduling problem for this centralized architecture and optimally solve the problem to minimize the total energy consumption, which is equivalent to maximizing the total energy saving across all mobile devices. Simulation results show that using a centralized broker able to optimally offload tasks can provide a significant reduction in energy consumption.