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Energy consumption and quality of service (QoS) are two primary concerns in the development of todaypsilas pervasive computing systems. While most of the research in energy-aware real-time scheduling has been focused on hard real-time systems, we study the problem of minimizing energy for soft real-time systems with the requirements of QoS-guarantee. In this paper, the QoS requirements are deterministically quantified with the (m; k)-constraints,which require that at least m out of any k consecutive jobs of a task meet their deadlines. A dynamic DVS algorithm is presented to reduce the energy while guaranteeing the given(m; k)-constraints. The simulation results demonstrate that our proposed techniques can achieve significant energy saving performance while ensuring the QoS guarantee.
Computer Science and Information Engineering, 2009 WRI World Congress on (Volume:3 )
Date of Conference: March 31 2009-April 2 2009