Adaptive online processor management algorithms for multimedia data communication with QoS sensitivity

Energy consumption has become an increasingly important consideration in many real-time systems. Therefore, the design and analysis for energy-efficient processor management techniques is an important and widely open research field. In this paper, I propose new online processor management algorithms to control heterogeneous multimedia services while maximizing energy efficiency. These online management algorithms-quality of service control, service request admission and scheduling algorithms-are combined in an integrated framework for higher system performance and energy efficiency. The most important feature of my proposed online framework is its adaptability, flexibility, and responsiveness to current system conditions. Simulation results clearly indicate the superior performance of my proposed framework to strike the appropriate performance balance between contradictory requirements. Copyright (C) 2008 John Wiley & Sons, Ltd.