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Energy-Efficiency of OWL Reasoners-Frequency Matters

机译:OWL推理机的能量效率-频率事项

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While running times of ontology reasoners have been studied extensively, studies on energy-consumption of reasoning are scarce, and the energy-efficiency of ontology reasoning is not fully understood yet. Earlier empirical studies on the energy-consumption of ontology reasoners focused on reasoning on smart phones and used measurement methods prone to noise and side-effects. This paper presents an evaluation of the energy-efficiency of five state-of-the-art OWL reasoners on an ARM single-board computer that has built-in sensors to measure the energy consumption of CPUs and memory precisely. Using such a machine gives full control over installed and running software, active clusters and CPU frequencies, allowing for a more precise and detailed picture of the energy consumption of ontology reasoning. Besides evaluating the energy consumption of reasoning, our study further explores the relationship between computation power of the CPU, reasoning time, and energy consumption.
机译:尽管对本体推理机的运行时间进行了广泛的研究,但是对推理能耗的研究却很少,并且对本体推理的能效还没有完全理解。早期关于本体推理机能耗的实证研究集中在智能手机上进行推理,并使用了容易产生噪声和副作用的测量方法。本文介绍了在具有内置传感器以精确测量CPU和内存能耗的ARM单板计算机上对五个最先进的OWL推理机的能效评估。使用这样的机器可以完全控制已安装和正在运行的软件,活动集群和CPU频率,从而可以更精确,更详细地了解本体推理的能耗。除了评估推理的能耗外,我们的研究还进一步探讨了CPU的计算能力,推理时间和能耗之间的关系。

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