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Modelling Battery Behaviour Using Chipset Energy Benchmarking

机译:使用芯片组能量基准对电池行为进行建模

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Despite advances in low power system design, short battery life remains a significant user concern. Effective management of energy resources available on a mobile device requires understanding of the principles of battery behaviour. We propose a time-delay model of a battery, which depends upon three non-linear processes: rate-capacity effect, recovery effect and software scheduling effect. We provide an analysis of the power consumption results using 3DMark'06 chipset benchmarks and demonstrate that a moderate-to-strong correlation between power consumption vs. CPU load, memory allocation and memory release is observed. Finally, we apply our model for chipset energy efficiency profiling and propose a power benchmark metric.
机译:尽管低功耗系统设计有所进步,但电池寿命短仍然是用户关注的重点。有效地管理移动设备上可用的能源需要了解电池行为的原理。我们提出了一种电池的时滞模型,该模型取决于三个非线性过程:速率-容量效应,恢复效应和软件调度效应。我们使用3DMark'06芯片组基准对功耗结果进行了分析,并证明了功耗与CPU负载,内存分配和内存释放之间存在中等到强相关性。最后,我们将我们的模型应用于芯片组能效分析,并提出了功率基准度量。

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