Optimizing Energy Efficiency of Node.js Applications with CPU DVFS Awareness

Abstract

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.