Leveraging Service Clouds for Power and QoS Management for Mobile Devices

We propose a QoS and power management (QPM) framework for mobile devices making use of the service cloud. Several techniques for the realization of the QPM framework have been developed. First, we develop a function pool based prediction model to predict the power and QoS behaviors of the task activated by a mobile device. Based on the prediction, we design the cost function and the decision algorithm for selecting the best platforms for executing the services/applications in order to achieve optimal energy saving while satisfying QoS requirements. Several service and data migration policies have been designed for a service to be migrated and executed on a mobile device to achieve power and QoS gains. We apply the QPM framework and associated techniques to a facial recognition case study system to validate our approach. Experimental results show that, in the best case, the QPM framework can achieve 66.7% energy saving for the mobile device and at the same time, reduce the response time by 54.3%.