Data center energy saving strategy implementation method based on time series analysis

Abstract

The invention particularly relates to a data center energy saving strategy implementation method based on time series analysis. The data center energy saving strategy implementation method based on time series analysis comprises the steps that firstly, equipment group configuration is conducted, and data collection is conducted through an information collection module; secondly, the collected data is stored in a database and then preprocessed; thirdly, time series analysis is conducted on the preprocessed data to obtain a predicted model; lastly, energy saving strategy matching is conducted according to the predicted model, and a matched energy saving strategy is selected and then implemented by a strategy implementation module. According to the data center energy saving strategy implementation method based on time series analysis, the self-correlation relation and mutual-correlation relation of the data in time dimension are analyzed through a time series analysis method to obtain the tendency, period and random variation laws of the data, model matching is conducted to generate the more effective data center energy saving strategy, energy saving control is conducted on a data center from multiple directions and multiple dimensions in the time domain, and therefore the data center energy consumption is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of energy-saving technology of a data center management and control platform, in particular to a method for realizing an energy-saving strategy of a data center based on time series analysis. Background technique [0002] In recent years, with the rapid development of virtualization and cloud computing technologies, the scale of global data centers has continued to grow. IT companies, Internet companies and telecom companies continue to increase their investment in data centers. Governments, the military, and enterprises are also developing and building data centers, providing public clouds open to the Internet, private clouds open to internal users of enterprises, and hybrid clouds that take into account the above two models. As the core carrier of information services, data center servers usually need to run continuously for a long time, which also brings huge power consumption. The problem of energy con...

AI Technical Summary

Problems solved by technology

But the corresponding disadvantage is that it is impossible to make a global consideration within the time period, and it is impossible to consider the interrelationship of indicator data in the time domain

In the environment of high energy consumption in the data center, energy-saving strategies based on timing analysis have not been applied

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