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Abstract
In the design of embedded systems, it is very important to reduce
energy consumption, and thus prolong battery life in ubiquitous battery-
powered embedded systems which are involved in all details of our
everyday life. Dy~ic voltage scaling (DVS) processors, which support
many operating voltages/speeds, can efficiently reduce energy
consumption by making appropriate decisions on the processor
speed/voltage during the scheduling of the real time tasks provided that
each task has to meet its deadline.
This thesis addresses the problem of energy efficient real time task
scheduling over earliest deadline first (EDF) scheduling policy where the
tasks are dependent due to exclusive access shared resources.
Furthermore, the thesis proposes enhancements over two existing
algorithms; dual speed (DS) algorithm and multi speed (MS) algorithm,
where the proposed algorithms; enhanced DS (EDS) and improved MS
(lMS), achieve more energy saving and have the capability to function
with both stack resource policy (SRP) and dynamic priority ceiling
protocol (DPCP) as resource access protocols.
KEYWORDS: Energy efficient scheduling, dynamic voltage scaling,
embedded systems, real time systems, shared resources, dependent tasks.