In recent times, smart hand-held devices, sensor networks and
pervasive computing have proliferated vastly. These devices contain
embedded processors and are energy/ resource constrained. New
processor technologies incorporate dynamic voltage scaling offering
opportunity to optimize real-time task scheduling from the energy
perspective. Often, due to uncertainties in their environment,
tasks overrun their average case execution time resulting in
possible overload in the system. In such systems, over provisioning
done by traditional scheduling algorithms based on worst-case
execution times, is undesirable as the peak load may be orders of
magnitude greater than the envisaged average load. Several new
overload handling techniques are discussed here that are useful
with soft task deadlines. The book presents 20 new task-scheduling
algorithms that take care of work overload and energy efficiency in
soft real time embedded systems. This book should be of great
interest to postgraduate and research students of Computer
Engineering, Electronics/ Communication Engineering as well as
practicing engineers designing embedded real time systems in
energy/ resource constrained environments.
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