CN108509019A - Consumption of data center optimization method and device - Google Patents

Abstract

The present invention provides a data center energy consumption optimization method and device provided in the embodiments of the present invention. By obtaining the current working status information of the execution equipment and refrigeration equipment in the data center, the corresponding current PUE coefficient is obtained according to the current working status information. And adopt the preset optimization strategy to adjust the current working state information to obtain the adjusted working state information, obtain the corresponding adjusted PUE coefficient according to the adjusted working state information, when it is determined that the adjusted PUE coefficient is less than the current PUE coefficient, adjust the execution equipment and refrigeration equipment according to the adjusted working state information, so as to realize rapid reduction of energy consumption of the data center and energy saving.

Description

Data center energy consumption optimization method and device

technical field

The invention relates to the technical field of information processing, in particular to a data center energy consumption optimization method and device.

Background technique

Existing data centers have a large number of servers, storage devices, network devices, and power supply lines, etc., and the devices are often placed densely, which will generate a lot of heat. If the cooling cannot be done in time, the equipment will be down when the temperature is too high, resulting in service termination, data damage, and serious accidents. Therefore, in order to ensure the normal operation of the equipment, the data center room is equipped with a large number of refrigeration equipment. Traditional refrigeration equipment cannot grasp the real-time cooling requirements of the server. In order to simplify operation and prevent thermal downtime, operators usually set these refrigeration equipment at a single lower temperature. However, this approach will cause a lot of energy consumption .

Contents of the invention

The present invention provides a data center energy consumption optimization method and device, which are used to solve the problem of waste of resources caused by unreasonable energy consumption in the prior art.

In a first aspect, an embodiment of the present invention provides a method for optimizing energy consumption of a data center, including:

Obtain the current working status information of the execution equipment and refrigeration equipment in the data center, and obtain the corresponding current PUE coefficient according to the current working status information;

Using a preset optimization strategy to adjust the current working state information to obtain the adjusted working state information, and obtain the corresponding adjusted PUE coefficient according to the adjusted working state information;

When it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, the execution device and the cooling device are adjusted according to the adjusted working state information.

Optionally, the obtaining the corresponding current PUE coefficient according to the current working state information includes:

Obtaining the energy consumption value of the execution device according to the current working state information of the execution device;

Obtaining the energy consumption value of the refrigeration equipment according to the current working state information of the refrigeration equipment;

Obtain the current PUE coefficient according to the energy consumption value of the execution equipment and the energy consumption value of the refrigeration equipment;

Wherein, the PUE coefficient is a ratio of the total energy consumption value in the data center to the energy consumption value of the executing device.

Optionally, the adjustment of the current working state information by using a preset optimization strategy to obtain the adjusted working state information, and obtaining the corresponding adjusted PUE coefficient according to the adjusted working state information includes:

Use the preset optimization strategy to adjust the current working status information for a preset number of times, and obtain multiple sets of adjusted working status information;

Obtain multiple PUE coefficients according to multiple sets of adjusted working status information, and set the smallest PUE coefficient as the adjusted PUE coefficient.

Optionally, it also includes: when it is determined that the adjusted PUE coefficient is greater than the current PUE coefficient, then using a preset optimization strategy to adjust the current working state information again to obtain the adjusted working state information, according to the adjusted The working status information obtains the corresponding adjusted PUE coefficient.

In a second aspect, an embodiment of the present invention provides a device for optimizing energy consumption of a data center, including:

An acquisition module, configured to acquire the current working status information of the execution equipment and the refrigeration equipment in the data center, and obtain the corresponding current PUE coefficient according to the current working status information;

The optimization module is used to adjust the current working state information to obtain the adjusted working state information by adopting the preset optimization strategy, and obtain the corresponding adjusted PUE coefficient according to the adjusted working state information;

An adjustment module, configured to, when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, adjust the executive device and the refrigeration device according to the adjusted working state information.

Optionally, the acquiring module is specifically used for:

Obtaining the energy consumption value of the execution device according to the current working state information of the execution device;

Obtaining the energy consumption value of the refrigeration equipment according to the current working state information of the refrigeration equipment;

Obtain the current PUE coefficient according to the energy consumption value of the execution equipment and the energy consumption value of the refrigeration equipment;

Wherein, the PUE coefficient is a ratio of the total energy consumption value in the data center to the energy consumption value of the executing device.

Optionally, the optimization module is specifically used for:

Use the preset optimization strategy to adjust the current working status information for a preset number of times, and obtain multiple sets of adjusted working status information;

Obtain multiple PUE coefficients according to multiple sets of adjusted working status information, and set the smallest PUE coefficient as the adjusted PUE coefficient.

Optionally, a repeating module is also included, configured to: when it is determined that the adjusted PUE coefficient is greater than the current PUE coefficient, then adopt a preset optimization strategy to adjust the current working state information again to obtain the adjusted working state information, The corresponding adjusted PUE coefficient is obtained according to the adjusted working state information.

It can be seen from the above technical solutions that the data center energy consumption optimization method and device provided by the embodiments of the present invention acquire the current working status information of the execution equipment and refrigeration equipment in the data center, and obtain the corresponding current working status information according to the current working status information. PUE coefficient, and adopt the preset optimization strategy to adjust the current working state information to obtain the adjusted working state information, obtain the corresponding adjusted PUE coefficient according to the adjusted working state information, when it is determined that the adjusted PUE coefficient is less than the set PUE coefficient When the current PUE coefficient is described, the execution device and the refrigeration device are adjusted according to the adjusted working state information, so as to realize rapid reduction of energy consumption of the data center and energy saving.

Description of drawings

FIG. 1 is a schematic flowchart of a data center energy consumption optimization method provided by an embodiment of the present invention;

Fig. 2 is a schematic flow chart of obtaining the current PUE coefficient provided by an embodiment of the present invention;

Fig. 3 is a schematic flow chart of an optimization process provided by an embodiment of the present invention;

FIG. 4 is a schematic flowchart of a device for optimizing energy consumption in a data center according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

Fig. 1 shows that an embodiment of the present invention provides a method for optimizing energy consumption of a data center, including:

S11. Obtain the current working status information of the execution equipment and refrigeration equipment in the data center, and obtain the corresponding current PUE coefficient according to the current working status information;

S12. Using a preset optimization strategy to adjust the current working state information to obtain the adjusted working state information, and obtain the corresponding adjusted PUE coefficient according to the adjusted working state information;

S13. When it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, adjust the executing device and the cooling device according to the adjusted working state information.

With regard to step S11-step S13, it should be noted that, in the embodiment of the present invention, the executing device includes a server, a storage device, a network device, and a power supply line in a data center. The cooling device is a device configured in the data center to ensure the normal operation of the execution device.

In the embodiment of the present invention, no matter whether it is the execution device or the refrigeration device, there will be working status information during the working process. These working status information are information data that are often recorded at present, and are not just examples here. The key point of this solution is the processing of working status information.

In the embodiment of the present invention, PUE is used as an indicator of the power usage efficiency of the data center. PUE is the abbreviation of Power Usage Effectiveness, which is the total energy consumption value of the data center (in the embodiment of the present invention, it is mainly the energy consumption of the execution equipment and the cooling equipment. The ratio of the sum of energy consumption values) to the energy consumption value of the execution equipment.

In the embodiment of the present invention, the energy consumption value of each device may be calculated according to the working state information of each device. The energy consumption calculation is a relatively mature technology, which will not be repeated here. In the embodiment of the present invention, it may specifically be:

S111. Obtain the energy consumption value of the execution device according to the current working state information of the execution device;

S112. Obtain the energy consumption value of the refrigeration equipment according to the current working state information of the refrigeration equipment;

S113. Obtain the current PUE coefficient according to the energy consumption value of the executive device and the energy consumption value of the cooling device;

Wherein, the PUE coefficient is a ratio of the total energy consumption value in the data center to the energy consumption value of the executing device.

In the embodiment of the present invention, a preset optimization strategy can be used to optimize the working status information. The optimization strategy is an adjustment strategy based on the data of the working status information. For example, when the value of a certain item of data in the working status information is high After being at or below the preset reference value, the current value will be adjusted according to the preset reduction or increase ratio.

In the embodiment of the present invention, the adjustment of the current working state information by using the preset optimization strategy is used to obtain the adjusted working state information, and the corresponding adjusted PUE coefficient is obtained according to the adjusted working state information, including:

S121. Using a preset optimization strategy to adjust the current working status information for a preset number of times, and obtain multiple sets of adjusted working status information;

S122. Obtain multiple PUE coefficients according to multiple sets of adjusted working status information, and set the smallest PUE coefficient as the adjusted PUE coefficient.

By adjusting the current working status information multiple times, multiple PUE coefficients can be obtained, so that the multiple PUE coefficients can be obtained as much as possible smaller than the current PUE coefficient, and rapid regulation can be realized.

When it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, it means that the energy consumption can be reduced according to the adjusted working state information, so the execution device and the cooling device are adjusted according to the adjusted working state information.

In addition, when it is determined that the adjusted PUE coefficient is greater than the current PUE coefficient, the preset optimization strategy is used to adjust the current working state information again to obtain the adjusted working state information, and the corresponding The adjusted PUE coefficient.

A data center energy consumption optimization method provided by an embodiment of the present invention obtains the current working status information of the execution equipment and refrigeration equipment in the data center, obtains the corresponding current PUE coefficient according to the current working status information, and adopts the preset The optimization strategy adjusts the current working state information to obtain the adjusted working state information, obtains the corresponding adjusted PUE coefficient according to the adjusted working state information, and when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, according to the adjusted PUE coefficient The executive device and the refrigeration device are adjusted based on the adjusted working state information, so as to realize rapid reduction of energy consumption of the data center and energy saving.

Fig. 4 shows a data center energy consumption optimization device provided by an embodiment of the present invention, including an acquisition module 21, an optimization module 22 and an adjustment module 23, wherein:

The acquiring module 21 is configured to acquire the current working state information of the execution equipment and the refrigeration equipment in the data center, and obtain the corresponding current PUE coefficient according to the current working state information;

The optimization module 22 is used to adjust the current working state information to obtain the adjusted working state information by adopting the preset optimization strategy, and obtain the corresponding adjusted PUE coefficient according to the adjusted working state information;

The adjustment module 23 is configured to adjust the executive device and the refrigeration device according to the adjusted working state information when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient.

Since the principle of the apparatus described in the embodiment of the present invention is the same as that of the method described in the foregoing embodiments, more detailed explanations will not be repeated here.

It should be noted that, in the embodiment of the present invention, a hardware processor (hardware processor) may be used to implement related functional modules.

The data center energy consumption optimization device provided by the embodiment of the present invention acquires the current working state information of the execution equipment and the refrigeration equipment in the data center, obtains the corresponding current PUE coefficient according to the current working state information, and adopts the preset The optimization strategy adjusts the current working state information to obtain the adjusted working state information, obtains the corresponding adjusted PUE coefficient according to the adjusted working state information, and when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, according to the adjusted PUE coefficient The executive device and the refrigeration device are adjusted based on the adjusted working state information, so as to realize rapid reduction of energy consumption of the data center and energy saving.

FIG. 5 shows an electronic device provided by an embodiment of the present invention, including: a processor 301, a memory 302, a bus 303, and a computer program stored in the memory and operable on the processor;

Wherein, the processor and the memory complete the mutual communication through the bus;

When the processor executes the computer program, the above-mentioned method is implemented, for example, including: obtaining current working status information of the execution equipment and refrigeration equipment in the data center, and obtaining the corresponding current PUE coefficient according to the current working status information; The set optimization strategy adjusts the current working state information to obtain the adjusted working state information, and obtains the corresponding adjusted PUE coefficient according to the adjusted working state information; when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, The executive device and the refrigeration device are adjusted according to the adjusted working state information.

An embodiment of the present invention provides a non-transitory computer-readable storage medium. A computer program is stored on the non-transitory computer-readable storage medium. When the computer program is executed by a processor, the above method is implemented, for example, including: obtaining The current working status information of the execution equipment and refrigeration equipment in the data center, and obtain the corresponding current PUE coefficient according to the current working status information; use the preset optimization strategy to adjust the current working status information to obtain the adjusted working status information, according to the The corresponding adjusted PUE coefficient is obtained from the adjusted working state information; when it is determined that the adjusted PUE coefficient is smaller than the current PUE coefficient, the execution device and the cooling device are adjusted according to the adjusted working state information.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Those of ordinary skill in the art can understand that: the above embodiments are only used to illustrate the technical scheme of the present invention, rather than limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand : It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements to some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the claims of the present invention. range.

Claims (10)

1. a kind of consumption of data center optimization method, which is characterized in that including：

The current operating state information for executing equipment and refrigeration equipment in data center is obtained, is believed according to the current working status Breath obtains corresponding current PUE coefficients；

Current operating state information is adjusted using preset optimisation strategy and obtains modulated work state information, according to described Modulated work state information obtains corresponding modulated PUE coefficients；

When determining that the modulated PUE coefficients are less than the current PUE coefficients, according to the modulated work state information to described It executes equipment and refrigeration equipment is adjusted.

2. according to the method described in claim 1, it is characterized in that, described corresponded to according to the current operating state information Current PUE coefficients, including：

The power consumption values for executing equipment are obtained according to the current operating state information for executing equipment；

The power consumption values of the refrigeration equipment are obtained according to the current operating state information of the refrigeration equipment；

Current PUE coefficients are obtained according to the power consumption values for executing equipment and the power consumption values of the refrigeration equipment；

Wherein, the PUE coefficients are the ratio of total energy consumption value and the power consumption values for executing equipment in the data center.

3. according to the method described in claim 2, it is characterized in that, described use preset optimisation strategy to current working status Information, which is adjusted, obtains modulated work state information, and corresponding modulated PUE systems are obtained according to the modulated work state information Number, including：

The adjustment for carrying out preset times to current operating state information using preset optimisation strategy, obtains multigroup modulated work shape State information；

Multiple PUE coefficients are obtained according to multigroup modulated work state information, and set minimum PUE coefficients to modulated PUE systems Number.

4. according to the method described in claim 3, it is characterized in that, further including：When determining that it is described that the modulated PUE coefficients are more than When current PUE coefficients, then current operating state information is adjusted again using preset optimisation strategy and obtains modulated work Status information obtains corresponding modulated PUE coefficients according to the modulated work state information.

5. a kind of consumption of data center optimizes device, which is characterized in that including：

Acquisition module, for obtaining the current operating state information for executing equipment and refrigeration equipment in data center, according to described Current operating state information obtains corresponding current PUE coefficients；

Optimization module obtains modulated working condition for being adjusted to current operating state information using preset optimisation strategy Information obtains corresponding modulated PUE coefficients according to the modulated work state information；

Adjustment module, for when determine the modulated PUE coefficients be less than the current PUE coefficients when, according to the modulated work The execution equipment and refrigeration equipment is adjusted in status information.

6. device according to claim 5, which is characterized in that the acquisition module is specifically used for：

The power consumption values for executing equipment are obtained according to the current operating state information for executing equipment；

The power consumption values of the refrigeration equipment are obtained according to the current operating state information of the refrigeration equipment；

Current PUE coefficients are obtained according to the power consumption values for executing equipment and the power consumption values of the refrigeration equipment；

Wherein, the PUE coefficients are the ratio of total energy consumption value and the power consumption values for executing equipment in the data center.

7. device according to claim 6, which is characterized in that the optimization module is specifically used for：

The adjustment for carrying out preset times to current operating state information using preset optimisation strategy, obtains multigroup modulated work shape State information；

Multiple PUE coefficients are obtained according to multigroup modulated work state information, and set minimum PUE coefficients to modulated PUE systems Number.

8. device according to claim 7, which is characterized in that further include replicated blocks, be used for：It is described modulated when determining When PUE coefficients are more than the current PUE coefficients, then current operating state information is adjusted again using preset optimisation strategy It is whole to obtain modulated work state information, corresponding modulated PUE coefficients are obtained according to the modulated work state information.

9. a kind of electronic equipment, which is characterized in that including：Processor, memory, bus and storage on a memory and can located The computer program run on reason device；

Wherein, the processor, memory complete mutual communication by the bus；

The processor realizes the method as described in any one of claim 1-4 when executing the computer program.

10. a kind of non-transient computer readable storage medium, which is characterized in that in the non-transient computer readable storage medium It is stored with computer program, the side as described in any one of claim 1-4 is realized when which is executed by processor Method.