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Sleep-states are emerging as a first-class design choice
in energy minimization. A side effect of this is that the release
behavior of the system is affected and subsequently the
preemption relations between tasks. In a first step we have
investigated how the behavior in terms of number of preemptions
of tasks in the system is changed at runtime, using
an existing procrastination approach, which utilizes sleepstates
for energy savings purposes. Our solution resulted
in substantial savings of preemptions and we expect from
even higher yields for alternative energy saving algorithms.
This work is intended to form the base of future research,
which aims to bound the number of preemptions at analysis
time and subsequently how this may be employed in the
analysis to reduced the amount of system utilization, which
is reserved to account for the preemption delay.