An Efficient Low Power Scheduling for Heterogeneous Dual-Core Embedded Real-Time Systems

碩士 === 國立交通大學 === 網路工程研究所 === 96 === In recent years, heterogeneous dual-core embedded real-time systems, such as personal digital assistants (PDAs) and cellular phones, have become more and more popular. In order to achieve real time performance and low energy consumption, low power scheduling beco...

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Bibliographic Details
Main Authors: Pochun Lin, 林柏君
Other Authors: Kuochen Wang
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/89711075931157988423
Description
Summary:碩士 === 國立交通大學 === 網路工程研究所 === 96 === In recent years, heterogeneous dual-core embedded real-time systems, such as personal digital assistants (PDAs) and cellular phones, have become more and more popular. In order to achieve real time performance and low energy consumption, low power scheduling becomes a critical issue. Most researches on low power scheduling with dynamic voltage scaling (DVS) were targeted at only one CPU or homogeneous multi-core systems. In this thesis, we propose a low power scheduling algorithm called Longer Common Execution Time (LCET) for DVS enabled heterogeneous dual-core embedded real-time systems, which includes two steps. First, we reduce total execution time of tasks by using LCET in heterogeneous dual-core embedded real-time systems. Second, we further exploit the reduced total execution time to adjust voltage and frequency levels in order to reduce the total energy consumption. Simulation results show that the proposed P-LCET (a preemptive version) and NP-LCET (a non-preemptive version) can effectively reduce the total energy consumption by 8% and 16% ~ 25% (13% and 33% ~ 38%) compared with the work by Kim et al. with (without) dynamic voltage scaling.