Dynamic Voltage Scaling for Real-Time Systems with System Workload Analysis

Zhang, Zhe; Chen, Xin; Qian, Dejun; Hu, Chen

doi:10.1587/transele.e93.c.399

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Several authors also have considered energy-aware adaptive scheduling of soft real-time and multimedia applications, for example using frequency scaling to deliver probabilistic real-time guarantees, as done by Zha et al [27]: instead of scaling the CPU frequency so that every task is guaranteed to respect all of its deadlines (as, for example in the previously mentioned works [20,21]), the frequency is set so that the probability to respect a deadline is controlled.…”

Section: Energy-aware Real-time Schedulingmentioning

confidence: 99%

Energy-efficient low-latency audio on android

Balsini

Cucinotta

Abeni

et al. 2019

Journal of Systems and Software

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Counting more than two billion devices, Android is nowadays one of the most popular open-source general-purpose operating systems, based on Linux. Because of the diversity of applications that can be installed, it manages a number of dierent workloads, many of them requiring performance/QoS guarantees. When running audio processing applications, the user would like an uninterrupted, glitch-free, output stream that reacts to the user input, typically with a delay not bigger than 4 − 10 ms, while keeping the energy consumption of the mobile device as low as possible. This work focuses on improvements to the real-time audio processing performance on Android that preserves energy-eciency. Such improvements are achieved by using a deadline based scheduler and an adaptive scheduling strategy that dynamically and proactively modulates the allocated runtime. The proposed strategy is evaluated through an extensive experimentation, showing that 1) compared to the existing way to ensure low-latency audio processing, the proposed mechanism provides an energy saving of almost 40%, and 2) compared to the existing way to achieve a good balance between power consumption and latency in a glitch-free audio processing experience, the proposed solution reduces audio latency from 26.67 ms to 2.67 ms, at the expense of a limited

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Section: Energy-aware Real-time Schedulingmentioning

confidence: 99%

Energy-efficient low-latency audio on android

Balsini

Cucinotta

Abeni

et al. 2019

Journal of Systems and Software

View full text Add to dashboard Cite

show abstract

Real-time and energy efficiency in Linux

Scordino

Abeni

Lelli

2019

SIGAPP Appl. Comput. Rev.

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The recent changes made in the Linux kernel aimed at achieving better energy efficiency through a tighter integration between the CPU scheduler and the frequency-scaling subsystem. However, in the original implementation, the frequency scaling mechanism was used only when there were no realtime tasks in execution. This paper shows how the deadline scheduler and the cpufreq subsystem have been extended to relax this constraint and implement an energy-aware realtime scheduling algorithm. In particular, we describe the design issues encountered when implementing the GRUB-PA algorithm on a real operating system like Linux. A set of experimental results on a multi-core ARM platform validate the effectiveness of the proposed implementation, which has been recently merged into the official Linux kernel.

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Dynamic Voltage Scaling for Real-Time Systems with System Workload Analysis

Cited by 2 publications

References 18 publications

Energy-efficient low-latency audio on android

Energy-efficient low-latency audio on android

Real-time and energy efficiency in Linux

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