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Power-efficient real-time scheduling based on multi-granularity resource reservation for multimedia services

机译：基于多粒度资源预留的高效节能多媒体服务实时调度

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Recent advances in mobile technologies have led to improved quality of multimedia services (QoMS) in a variety of mobile devices. Because multimedia has become a major form of content consumption for mobile users, satisfying user expectation on QoMS in energy-restricted mobile devices is critical. This need has motivated us to develop an aggressive and conservative low-power work demand analysis with multi-granularity (lpWDA-MG-AGG/CON) algorithm, designed to minimise power consumption in mobile devices by utilising a dynamic voltage scaling technique while simultaneously ensuring QoMS based on a resource reservation scheme. In addition, the authors analytically showed the schedulability of the proposed scheme under the rate monotonic scheduling policy. For performance evaluation, the authors implemented the two lpWDA-MG algorithms and several existing algorithms in a Linux operating system. Specifically, the authors measured power consumption with a power metre and determined that the proposed algorithms consume about 40% less dynamic power than the other existing algorithms. Moreover, the authors found that the proposed algorithms ensure acceptable QoMS.
机译：移动技术的最新进展已导致各种移动设备中多媒体服务（QoMS）的质量提高。由于多媒体已成为移动用户消费内容的一种主要形式，因此在能量受限的移动设备中满足用户对QoMS的期望至关重要。这种需求促使我们开发出具有多粒度（lpWDA-MG-AGG / CON）算法的激进且保守的低功耗工作需求分析，该算法旨在通过利用动态电压缩放技术来最大程度地降低移动设备的功耗，同时确保基于资源预留方案的QoMS。此外，作者分析地表明了该方案在速率单调调度策略下的可调度性。为了进行性能评估，作者在Linux操作系统中实现了两种lpWDA-MG算法和几种现有算法。具体来说，作者使用功率计测量了功耗，并确定所提出的算法比其他现有算法消耗的动态功率少40％。此外，作者发现，提出的算法可确保可接受的QoMS。

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