Constrained Energy Optimizationin Heterogeneous Platforms UsingGeneralized Scaling Models

Platform energy consumption and responsiveness are two major considerations for mobile systems since they determine the battery life and user satisfaction, respectively. We first present models for power consumption, response time and energy consumption of heterogeneous mobile platforms. Then, we use these models to optimize the energy consumption of baseline platforms under response time and temperature constraints with and without introducing new resources. We show that the optimal design choices depend on dynamic power management algorithm, and adding new resources is more energy efficient than scaling existing resources alone.