Online energy-saving algorithm for sensor networks in dynamic changing environments
Journal of Embedded Computing
Resource allocation robustness in multi-core embedded systems with inaccurate information
Journal of Systems Architecture: the EUROMICRO Journal
Journal of Signal Processing Systems
Cost Minimization with HPDFG and Data Mining for Heterogeneous DSP
Journal of Signal Processing Systems
Thermal-aware task scheduling in 3D chip multiprocessor with real-time constrained workloads
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on embedded systems for interactive multimedia services (ES-IMS)
Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform
Microprocessors & Microsystems
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Low energy consumption is a critical issue inembedded systems design. As the technology feature sizesof SoC (Systems on Chip) become smaller and smaller, thepercentage of leakage power consumption in total powerconsumption continues to grow. Traditional Dynamic VoltageScaling (DVS) fail to accurately address the impact of scaling on system power consumption as the leakage power increases exponentially. The combination of DVS and Adaptive Body Biasing (ABB) is an effective technique to jointly optimize dynamic and leakage energy dissipation. In this paper, we propose an optimal soft real-time Rotation scheduling and voltage assignment algorithm, RSVAME (Rotation Scheduling and Voltage Assignment to Minimize Energy), to minimize both dynamic and leakage energy via DVS and ABB. Voltage transition overhead has been considered in our approach. We conduct experiments on a set of DSP benchmarks based on the power model of 70 nm technology. The experimental results show that our approach achieves significant energy saving thanthat of ILP (Integer Linear Programming) approach.