Embedded systems are driving an information revolution with their
pervasion in our everyday lives. With more and more different types
of FUs available, same type of operations can be processed by
heterogeneous FUs with different costs, where the cost may relate
to power, reliability, etc. Due to conditional operations, some
tasks may not have fixed execution time. Therefore, how to assign a
proper FU type to each operation of a system and generate a
schedule that minimize the total costs while satisfying timing
constraints with guaranteed confidence probabilities becomes a
critical issue. This book, 1) proposed several efficient algorithms
to solve the problem; 2) combined Dynamic Voltage Scaling (DVS) and
soft real-time to solve the Voltage Assignment with Probability
(VAP) Problem. 3) applied our efficient algorithms to dynamic
adjust the working mode of sensors to save energy for sensor
networks; 4) designed rotation scheduling algorithms for real-time
applications that produce schedules consuming minimal energy; 5)
combined data mining and prefetching to reduce energy consumptions;
6) improved performance and energy consumption for processors with
multi-bank memory.
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