仿真环境下的云计算数据中心能耗评估方法

数据中心能耗优化问题是云计算领域的重要研究方向，但在真实环境中进行相关研究需要承担巨额的研究成本，并且实验周期长，因此仿真技术在该领域广泛应用.为提高数据中心能耗感知仿真实验的准确性和可信度，本文分析了仿真平台的内置能耗模型和其他学者提出的能耗评估方法，并在此基础上提出了基于CPU和内存利用率的能耗评估方法，该方法考虑了CPU利用率对内存能耗的影响，采用多元非线性模型进行回归分析.实验证明，本文提出的能耗评估方法在适用于仿真平台的同时具有较高的预测精度，有效地提高了云计算仿真平台能耗评估的准确性.

Energy Evaluation of Cloud Data Center in Simulation Environment

Data center energy optimization problem is an important research direction in cloud computing field. However, in the real world, relevant research needs to bear high research costs and long experimental period. Therefore, simulation technology has been widely used in this field. In order to improve the accuracy and reliability of the data center energy-aware simulation experiment, this study analyzes the built-in energy consumption model of the simulation platform and the energy consumption evaluation methods proposed by other scholars, and puts forward the energy consumption evaluation method, which considers the impact of CPU utilization on memory energy consumption, based on CPU and memory usage rate. Also, a multivariate nonlinear model is used for regression analysis. The experiment proves that the energy consumption evaluation method proposed in this study can be applied to the simulation platform and has high prediction accuracy, which effectively improves the accuracy of the energy consumption evaluation of the cloud computing simulation platform.