Feedback EDF scheduling exploiting dynamic voltage scaling

Zhu, Yifan; Mueller, Frank

doi:10.1109/rttas.2004.1317252

Cited by 63 publications

(3 citation statements)

References 28 publications

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“…The major existing prior literature on adaptive real-time, power-aware scheduling for multimedia and soft real-time applications, which has been reviewed above, can be categorized as in [20] H No No S/L Sy No Yes Aydin et al [21] H No No S Sy No Yes Kim et al [23] H No No T Av No Yes Lorch et al [28] S No No S Of, Mu No Yes Pouwelse et al [29,30] S No No L Sy, Mu No Yes Kumar et al [31] S No No S Av, Sy No Yes Zhu et al [22] H Yes No Yes S/L Sy No Yes Almoosa et al [26] N Yes No Yes S Sy Yes Yes Yuan et al [33] S Yes No Yes L Mu No Yes Kalkov et al [42,43] S is introduced in this paper, any feedback-based methodology will not be able to react to workload changes and anticipate power adjustments as quickly and on-time, as in the mechanism proposed herein.…”

Section: Discussionmentioning

confidence: 99%

“…Zhu and Mueller [22] proposed a dierent approach, that dynamically scales the CPU frequency based on a feedback mechanism. In particular, this approach is based on splitting each job of a task in two parts, optimistically executing the rst part at a low frequency and then increasing the CPU frequency when the second part executes.…”

Section: Energy-aware Real-time Schedulingmentioning

confidence: 99%

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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

show abstract

Section: Discussionmentioning

confidence: 99%

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

“…Aydin et al [7] proposed the DRA algorithms for reclaiming the spare time on Earliest Deadline First (EDF). A power-aware algorithm for EDF scheduling has been proposed by Zhu and Mueller [24] as well. Similar techniques have been proposed by Saewong and Rajkumar [21] in the context of fixed priority scheduling.…”

Section: Introductionmentioning

confidence: 99%

Energy-aware real-time scheduling in the linux kernel

Scordino

Abeni

Lelli

2018

Proceedings of the 33rd Annual ACM Symposium on Applied Computing

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The recent changes made in the Linux kernel aim at achieving better energy efficiency through a tighter integration between the CPU scheduler and the frequency-scaling subsystem. However, in the current implementation, the frequency scaling mechanism is used only when there are no real-time tasks in execution. This paper shows how the deadline scheduler and the cpufreq subsystem can be 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. * This work has been partially funded by the European Commission through the HERCULES (H2020 GA-688860) and the RETINA (EUROSTARS E10171) projects.

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Reducing power consumption of non-preemptive real-time systems

Alrashed

2017

J Supercomput

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Feedback EDF scheduling exploiting dynamic voltage scaling

Abstract: Dynamic voltage scaling (DVS) is a promising method

Cited by 63 publications

References 28 publications

Energy-efficient low-latency audio on android

Energy-efficient low-latency audio on android

Energy-aware real-time scheduling in the linux kernel

Reducing power consumption of non-preemptive real-time systems

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