A Scheduling with DVS Mechanism for Embedded Multi-Core Real-Time Systems

@article{Lee2011ASW,
  title={A Scheduling with DVS Mechanism for Embedded Multi-Core Real-Time Systems},
  author={Liang-Teh Lee and Shin-Tsung Lee and Chaokai Tsai},
  journal={International Journal of Digital Content Technology and Its Applications},
  year={2011},
  volume={5},
  pages={51-64}
}
Abstract With the advancement of technology, embedded systems have been widely used in portable devices. Portable embedded systems must have rather superior computing capability in order to meet real-time application demands. It is very important for the design of portable embedded system to enable minimum energy consumption while meeting real-time application demands. Dynamic voltage scaling technology enables effective reduction of energy consumption by utilizing slack time to modify… 
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6 Citations

Power-aware Scheduling of fixed priority tasks in soft real-time multicore systems
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This paper introduces the PAS-SRTMS (Power Aware Scheduling of fixed priority tasks in Soft Real-Time Multicore Systems) scheduling algorithm, a combination of Offline and Online scheduling with DVFS to schedule fixedpriority tasks on soft real-time Multicorean systems.
Phase distance mapping: a phase-based cache tuning methodology for embedded systems
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Dynamic phase-based tuning for embedded systems using phase distance mapping
TLDR
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Exploiting dynamic phase distance mapping for phase-based tuning of embedded systems
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Scheduling Divisible Loads with Return Messages on Multi-core Heterogeneous Clusters with Unknown System Parameters
TLDR
The experimental results on the heterogeneous cluster with multi-core machines show that the two-round probing method can estimate the system parameters and the multi-round distribution load strategy can obtain shorter scheduling length and has stronger practicability.
A Survey of Phase Classification Techniques for Characterizing Variable Application Behavior
TLDR
This paper presents a survey of phase classification techniques that have been proposed to exploit the advantages of adaptable computing through phase-based optimization, focusing on recent techniques and classify these techniques with respect to several factors in order to highlight their similarities and differences.

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