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A data center heat management method based on temperature prediction

A data center and heat management technology, applied in the direction of electrical digital data processing, special data processing applications, digital data processing components, etc., can solve problems such as small peak temperature, improve prediction accuracy, meet real-time requirements, and reduce calculations The effect of spending

Active Publication Date: 2019-01-11
XI AN JIAOTONG UNIV
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Problems solved by technology

That is to say, more computing energy consumption may lead to smaller peak temperature if proper thermal management strategy is adopted

Method used

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  • A data center heat management method based on temperature prediction
  • A data center heat management method based on temperature prediction
  • A data center heat management method based on temperature prediction

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Embodiment Construction

[0065] The invention provides a data center heat management method based on temperature prediction, and proposes a data center temperature prediction algorithm based on a neural network, which can accurately predict the temperature change of the data center for a period of time in the future. On this basis, a data center thermal management method based on temperature prediction is adopted, and thermal management is performed by adjusting the workload of nodes.

[0066] Data Center Temperature Prediction Algorithm Based on Neural Network

[0067] Joint Forecasting Framework

[0068] According to the local characteristics of heat spread in data centers, a joint prediction framework is proposed to solve the scalability problem of temperature prediction models in large-scale data centers. The framework is as follows: figure 1 As shown; according to the assumption of the principle of thermal locality, the temperature around a server is mainly affected by the configuration of its n...

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Abstract

The invention discloses a data center heat management method based on temperature prediction. According to the local characteristics of heat transfer in the data center, a joint prediction framework is established to implement the data center temperature prediction algorithm based on neural network. The real-time running data of server node, wireless sensor data and CFD simulation data are used totrain the artificial neural network prediction model to predict the inlet temperature distribution of the data center server. Then feedback control strategy is used to manage the temperature of eachnode in the data center, and the heat management is carried out by adjusting the workload of the node. The invention is devoted to the research of the heat management method of the data center, and under the premise of ensuring the thermal safety requirement of the data center, the energy consumption of the refrigeration equipment is minimized.

Description

technical field [0001] The invention belongs to the technical field of data center heat management, and in particular relates to a data center heat management method based on temperature prediction. Background technique [0002] Improving the energy efficiency of a data center is a major goal in data center operations. The energy consumption of cooling equipment accounts for a large proportion of the overall energy consumption of the data center. However, traditional data center energy saving measures are mainly aimed at computing equipment, ignoring the energy saving of cooling equipment. On the other hand, the power density of server clusters in data centers continues to increase, requiring cooling equipment with greater cooling capacity. In order to ensure the safe and stable operation of the data center, the temperature of the refrigeration equipment is often set too low, which leads to the waste of energy consumption of the refrigeration equipment. [0003] The heat ...

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Application Information

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IPC IPC(8): G06F1/20G06F17/50G06N3/04
CPCG06F1/206G06F2119/08G06F30/20G06N3/045Y02D10/00
Inventor 伍卫国徐一轩胡壮崔舜
Owner XI AN JIAOTONG UNIV
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