利用CPU DVFS感知优化Node.js应用的能效

Maria Patrou, K. Kent, Joran Siu, Michael H. Dawson
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摘要

Node.js应用程序可以结合CPU动态电压和频率缩放(DVFS)来调整它们的能耗和运行时性能。因此,我们构建了一个CPU频率缩放策略,以促进“绿色”和高性能请求,并支持自定义其执行配置文件。我们的技术需要一个分析步骤,根据CPU频率对其能耗和运行时性能以及代码语法/范式的影响对web请求进行分类。我们还在模型中包括并发请求执行的情况,以选择适当的CPU频率。我们允许基于优先级的请求与此模型一起工作,以便用户根据自己的目标定制和制定策略。最后,我们执行了一个能源运行时分析,结果表明,与Linux伸缩调控器相比,我们的策略与所建议的配置是一种节能的方法。
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Optimizing Energy Efficiency of Node.js Applications with CPU DVFS Awareness
Node.js applications can incorporate CPU Dynamic Voltage and Frequency Scaling (DVFS) to adjust their energy consumption and runtime performance. Thus, we build a CPU frequency scaling policy that promotes “green” and high-performing requests and enables customizations of their execution profile. Our technique requires a profiling step to classify the web requests based on the CPU frequency impact on their energy consumption and runtime performance and on their code syntax/paradigm. We also include the case of concurrent request execution in our model to select an appropriate CPU frequency. We enable priority-based requests to work along with this model for users to customize and formulate a policy based on their goals. Finally, we perform an energy-runtime analysis, which shows that our policy with the proposed configurations is an energy-efficient approach compared to the Linux scaling governors.
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