Energy modeling method for cloud computing data Center

Source: Internet
Author: User
Keywords Cloud computing data center Datacenter energy modeling

Energy modeling method for cloud computing data Center

Loliang Wu Wenjun Zhang Fei

The need for computing power in cloud computing, has facilitated the rapid development of large-scale data centers. At the same time, cloud computing data centers generate huge energy consumption. Due to the flexible services and scalability of cloud computing, the scale of hardware in cloud computing data centers has been extremely inflated in recent years, which has led to a concentration of energy consumption problems in the past. Therefore, it is of great significance to study the energy-saving problem of cloud computing data center. Calculate the energy consumption of the datacenter, A high precision energy consumption model is proposed to predict the energy consumption of a single server in cloud computing data center. The Accurate energy model is the basis of many energy-aware resource scheduling methods, and the linear model is used to describe the relationship between energy consumption and resource utilization in most existing cloud computing energy consumption research. However, as cloud Computing Data Center Server architecture changes, energy consumption and resource usage Relationships have been difficult to describe with simple linear functions. So, starting with processor performance counters and system usage, combined with the mathematical method of multivariate linear regression and nonlinear regression, the influence of different parameters and methods on the modeling of server energy consumption is analyzed, and a server energy consumption model suitable for the infrastructure of Cloud computing data Center is proposed. The experimental results show that the energy consumption model only monitors the utilization rate of the system. , the prediction accuracy of energy consumption can reach more than 95% after the system is stabilized.


Energy modeling method for cloud computing data Center

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