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A data center energy scheduling method

A technology for energy scheduling and data centers, applied in the field of big data, can solve problems such as high energy consumption, achieve the effects of reducing energy consumption, reducing the number of discharges, and reducing maintenance costs

Active Publication Date: 2017-07-11
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides an energy scheduling method for data centers, the purpose of which is to solve the technical problems of high energy consumption in existing data centers, reduce electricity costs, and reduce global carbon pollution

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0036] Overall design idea of ​​the present invention is as follows:

[0037] Due to the limitation of the data center site, funds and other aspects, the number of new energy collection devices such as solar panels and windmills in the data center is limited; coupled with the limitation of weather conditions, the servers in the data center can obtain new energy within a day. The amount of energ...

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Abstract

The invention discloses an energy scheduling method for efficiently using new energy, and a heterogeneous node device that assists the realization of the method. According to the characteristics of unbalanced load on the server within 24 hours a day, it performs load scheduling under low load conditions, reduces the demand for energy consumption during low load periods, and thus reduces the energy consumption of the entire system within a day. consumed demand. Among them, load scheduling involves load distribution strategies among heterogeneous nodes; in addition, the limited new energy collected through wind energy, solar energy, etc. is used most efficiently. There are two utilization points of new energy. One is to reduce the demand for traditional electric energy when the highest load reaches the peak value during the high load time period, so as to achieve the effect of "peak shaving". It is possible to use more solar energy, that is, to increase the use value of solar energy according to the peak-valley time-of-use electricity price, thereby reducing server energy consumption and electricity costs for service providers.

Description

technical field [0001] The invention belongs to the technical field of big data, and more specifically relates to an energy scheduling method for a data center. Background technique [0002] In the era of big data, the speed of data growth continues to increase, and the amount of data in data centers is growing explosively. For example, Google operates at least forty data centers around the world. The amount of calculation and processing of data has also increased dramatically. Based on this background, data center service providers have to face soaring energy consumption and electricity bills, such as Google (annual energy consumption>1120GWh, electricity bill>$67M), Google (annual energy consumption>600GWh, electricity bill>$36M). The direct problem brought about by high energy consumption is serious environmental pollution. The carbon emissions of the IT industry account for 2% of the global carbon emissions. Nowadays, carbon dioxide emission tax is imposed...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 曹强周旭万胜刚谭诗诗谢长生
Owner HUAZHONG UNIV OF SCI & TECH
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