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Cerutti, Stefano; Lamperti, Gianfranco; Scaroni, M.; Zanella, Marina; Zanni, Davide

doi:10.1002/spe.v37:4

Cited by 15 publications

(1 citation statement)

References 68 publications

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“…For example, the Linux SCHED_OTHER policy has been using a heuristic of this kind [48], tracking per-task sleep vs. ready-to-run time windows, and boosting the dynamic priority of a task after wake-up, while de-boosting it while running continuously. This allows us to run long-running, CPU-intensive applications such as compilation of complex software suites, number-crunching or CAD (computer-aided design) computations, while using interactive desktop applications, such as audio/video players, web browsers, e-mail clients, with a very good responsiveness.…”

Section: Gpos Process Schedulersmentioning

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: Gpos Process Schedulersmentioning

confidence: 99%