CN114691444A - Method, device and equipment for discovering idle resources in cabinet and computer storage medium - Google Patents

Abstract

Embodiments of the present invention provide a method, apparatus, device, and computer storage medium for discovering idle resources in a cabinet. Obtain the rack load rate and the load rate of each IT equipment in the first historical time period, where the rack load rate is the ratio of the real-time power of the rack to the rated power of the rack, and the load rate of each IT equipment is the ratio of the real-time power to the rated power of each IT equipment , establish a normal operation model of the cabinet and IT equipment according to the load rate of the cabinet and the load rate of each IT equipment in the first historical period, obtain the load rate of the cabinet and the load rate of each IT equipment in the preset time period, and determine the preset time The difference between the load rate of the cabinets in the segment and the load rate of each IT equipment and the normal operation model, when the difference does not meet the first preset threshold, it is determined that there are idle resources in the IT equipment, and idle resources in the IT room can be discovered.

Description

Method, device, device and computer storage medium for discovering idle resources in a cabinet

technical field

The invention belongs to the field of cabinet resource management and control, and in particular relates to a method, device, equipment and computer storage medium for discovering idle resources in a cabinet.

Background technique

At present, the method of discovering idle IT resources in a data center organization is mainly through monitoring the IT resources themselves. This monitoring method mainly includes two methods. One of them is to directly monitor IT resources and obtain information such as the utilization rate and performance of IT resources. When the server resource usage falls below the set threshold within the set period, it is determined that the server is an idle IT resource. Another is to view the upstream traffic or user access information of each server from the IT management system, virtualization system, and load distribution system. When the traffic or user access is lower than the set threshold for a long time within a set period, the server is judged. It belongs to idle IT resources. However, the above methods cannot discover idle resources in the cabinet of the IT equipment room when the IT monitoring and management are not completely covered.

SUMMARY OF THE INVENTION

Embodiments of the present invention provide a method, device, device, and computer storage medium for discovering idle resources in a cabinet, which can discover idle resources in an IT room.

In a first aspect, an embodiment of the present invention provides a method for discovering idle resources in a cabinet. The method includes:

Obtain the rack load rate and the load rate of each IT equipment in the first historical time period, where the rack load rate is the ratio of the real-time power of the rack to the rated power of the rack, and the load rate of each IT equipment is the ratio of the real-time power to the rated power of each IT equipment ;

Establish a normal operation model of the cabinet and IT equipment according to the load rate of the cabinet and the load rate of each IT equipment in the first historical period;

Acquire the load ratio of the cabinet and the load ratio of each IT equipment within the preset time period, and determine whether the difference between the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period and the normal operation model meets the preset threshold;

If the difference does not meet the preset threshold, it is determined that the IT equipment has idle resources.

In an optional implementation manner, establishing a normal operation model of the cabinet and IT equipment includes: determining whether the load ratio of the cabinet and the load ratio of each IT device meet a threshold;

If both the rack load rate and the load rate of each IT equipment meet the threshold, the first historical time period is divided into multiple periods, and the rack load rate of each period and the load rate of each IT equipment and the first historical period are determined. Whether the correlation of the remaining cycles of satisfies the threshold;

If the correlation degree satisfies the threshold, determine that the rack load rate in the first historical time period is the normal operation model of the rack, and the load rate of each IT equipment is the normal operation model of each IT equipment;

If the load ratio of the cabinet, the load ratio of each IT device, or the correlation degree does not meet the corresponding threshold, a second historical time period is selected, and it is determined whether the data of the second historical time period meets the relevant threshold.

In an optional implementation manner, before determining the load rate of the rack within a preset time period and the difference between the load rate of each IT equipment and the normal operation model, the method includes:

Determine whether the load rate of the cabinet and the load rate of each IT equipment within a preset time period meet the threshold;

If the threshold is met, then determine whether the difference between the load rate of the cabinet and the load rate of each IT equipment and the normal operation model within the preset time period meets the preset threshold;

If the threshold is not met, it is determined that the IT equipment has idle resources.

In an optional embodiment, the method further includes:

If the difference satisfies the preset threshold, it is determined that the IT equipment does not have idle resources.

In an optional embodiment, the method further includes:

Generate prompt information, the prompt information is used to prompt the user of idle cabinets and IT equipment.

In a second aspect, an embodiment of the present invention provides a device for discovering idle resources in a cabinet, and the device includes:

The obtaining module is used to obtain the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, where the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT device is the real-time power of each IT device. Ratio to rated power;

A determination module for establishing a normal operation model of the cabinet and IT equipment according to the load rate of the cabinet and the load rate of each IT equipment in the first historical period;

The determination module is also used to obtain the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period, and determine whether the difference between the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period and the normal operation model is not meet the preset threshold;

The determining module is further configured to determine that the IT equipment has idle resources if the difference does not meet the preset threshold.

In an optional implementation manner, the determining module is specifically used for:

Determine whether the load rate of the cabinet and the load rate of each IT equipment meet the threshold;

If both the rack load rate and the load rate of each IT equipment meet the threshold, the first historical time period is divided into multiple periods, and the rack load rate of each period and the load rate of each IT equipment and the first historical period are determined. Whether the correlation of the remaining cycles of satisfies the threshold;

If the correlation degree satisfies the threshold, determine that the rack load rate in the first historical time period is the normal operation model of the rack, and the load rate of each IT equipment is the normal operation model of each IT equipment;

If the load ratio of the cabinet, the load ratio of each IT device, or the correlation degree does not meet the corresponding threshold, a second historical time period is selected, and it is determined whether the data of the second historical time period meets the relevant threshold.

In an optional implementation manner, the determining module is further used for:

Determine whether the load rate of the cabinet and the load rate of each IT equipment within a preset time period meet the threshold;

If the threshold is met, then determine whether the difference between the load rate of the cabinet and the load rate of each IT equipment and the normal operation model within the preset time period meets the preset threshold;

If the threshold is not met, it is determined that the IT equipment has idle resources.

In a third aspect, an embodiment of the present invention provides a device for discovering idle resources in a cabinet. The device includes: a processor and a memory storing computer program instructions; the processor reads and executes the computer program instructions to execute the first aspect or Any optional implementation manner of the first aspect provides a method for discovering idle resources in a cabinet.

In a fourth aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the first aspect or any optional implementation manner of the first aspect is implemented Provides a method for discovering idle resources in a cabinet.

The method, device, device, and computer storage medium for discovering idle resources according to the embodiments of the present invention can obtain the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, wherein the load ratio of the cabinet is the real-time power of the cabinet and the rated power of the cabinet. The ratio of each IT equipment load rate is the ratio of the real-time power of each IT equipment to the rated power. According to the rack load rate in the first historical period and the load rate of each IT equipment, the normal operation model of the rack and IT equipment is established, and the preset value is obtained. The load ratio of the cabinet and the load ratio of each IT equipment in the time period, and determine the difference between the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period and the normal operation model, when the difference does not satisfy the first When the threshold is preset, it is determined that there are idle resources in the IT equipment, so that idle resources in the IT room can be discovered.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings that need to be used in the embodiments of the present invention. For those of ordinary skill in the art, without creative work, the Additional drawings can be obtained from these drawings.

FIG. 1 is a schematic diagram of a column head cabinet-to-cabinet power distribution structure according to an embodiment of the present invention;

2 is a schematic flowchart of a method for discovering idle resources in a cabinet according to an embodiment of the present invention;

3 is a schematic flowchart of another method for discovering idle resources in a cabinet according to an embodiment of the present invention;

4 is a schematic structural diagram of an apparatus for discovering idle resources in a cabinet according to an embodiment of the present invention;

FIG. 5 is a structural diagram of an exemplary hardware architecture of an idle resource discovery device in a cabinet according to an embodiment of the present invention.

Detailed ways

The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present invention, but not to limit the present invention. It will be apparent to those skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present invention by illustrating examples of the invention.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprising" does not preclude the presence of additional identical elements in the process, method, article or device that includes the element.

First, for ease of understanding, the following parts of the embodiments of the present invention first describe the application scenarios of the present invention and related technical terms in the present invention.

A commonly accepted and adopted indicator of data center infrastructure energy efficiency at home and abroad is PUE. Its calculation formula is: PUE=total power consumption of data center/power consumption of IT equipment, among which "total power consumption of data center" It is the sum of all power consumption to maintain the normal operation of the data center, including the power consumption of IT equipment, cooling equipment, power supply and distribution systems and other facilities. In a data center, only the power consumption of IT equipment is considered "meaningful" power. The actual meaning of PUE is to calculate how much of the total power supplied to the data center is actually applied to IT equipment. However, when applying more power to IT equipment, it is also necessary to pay attention to reducing the meaningless idling of IT equipment.

IT equipment mainly includes: (1) servers, including rack, blade, and tower servers; (2) storage, including disk arrays, storage area networks (SANs), and switch-type storage devices, And backup devices such as tape libraries and virtual tape libraries; (3) Networks, including switches, routers, firewalls, virtual private networks (Virtual Private Networks, VPNs) and various types of dedicated network devices for load balancing; (4) IT support : Mainly includes monitoring and management equipment for operation and maintenance.

FIG. 1 is a schematic diagram of a column head cabinet-to-cabinet power distribution structure according to an embodiment of the present invention. As shown in Figure 1: The power of the cabinet is supplied by the column head cabinet, and IT equipment is installed in the cabinet.

In order to solve the problems in the prior art, embodiments of the present invention provide a method, apparatus, device, and computer storage medium for discovering idle resources in a cabinet.

The following first introduces the method for discovering idle resources in a cabinet provided by the embodiment of the present invention.

FIG. 2 shows a schematic flowchart of a method for discovering idle resources in a cabinet according to an embodiment of the present invention. As shown in Figure 2, the method may include the following steps:

S201. Acquire the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, where the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT equipment is the real-time power and rated power of each IT device ratio.

In some embodiments, before step S101, the method further includes acquiring the rated power Pe of the rack, the rated power Pm of each IT device, the real-time power Pi of the rack, and the real-time power Pit of the IT device.

In some embodiments, the rack load rate is η, and the IT equipment load rate in the rack is ηit, then:

η=Pi/Pe*100%;

ηit=Pit/Pm*100%.

S202. Establish a normal operation model of the cabinet and the IT equipment according to the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period.

In some embodiments, the first historical time period includes hours, days, weeks, months, and years.

S203: Acquire the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period, and determine the difference between the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period and the normal operation model.

S204. When the difference does not meet the first preset threshold, determine that the IT equipment has idle resources.

The idle resource discovery method according to the embodiment of the present invention can obtain the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, wherein the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT equipment is the ratio of the real-time power of the cabinet to the rated power of the cabinet. The ratio of the real-time power to the rated power of each IT equipment, according to the rack load rate in the first historical period and the load rate of each IT equipment, establish a normal operation model of the rack and IT equipment, and obtain the rack load rate and each IT equipment in the preset time period. IT equipment load rate, and determine whether the difference between the cabinet load rate and each IT equipment load rate and the normal operation model within the preset time period meets the preset threshold, and if the difference does not meet the preset threshold, determine the IT equipment If there are idle resources, the idle resources in the IT room can be discovered.

Based on the foregoing embodiments of the present invention and in conjunction with the method for discovering idle resources in a cabinet shown in FIG. 3 , an embodiment of the present invention provides a schematic flowchart of another method for discovering idle resources in a cabinet. As shown in Figure 3, the steps include:

S301. Acquire the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, where the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT equipment is the real-time power and rated power of each IT device ratio.

S302. Determine whether the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period meet the second preset threshold; if so, go to step S303; if not, go to step S311.

In some embodiments, the threshold includes 20%.

In some embodiments, determining whether the load ratio of the cabinet and the load ratio of each IT device meet the threshold includes determining whether the load ratio of the cabinet and the load ratio of each IT device is greater than or equal to 20%.

S303. Divide the first historical time period into a plurality of periods, and determine the rack load rate and each IT equipment load rate in each period and the rack load rate and each IT equipment load rate in other periods within the first historical period Whether the correlation of satisfies the third preset threshold; if yes, go to step S304; if not, go to step S309.

In some embodiments, the correlation is a statistical indicator used to reflect the closeness of the correlation between variables. The correlation is calculated according to the product-difference method, which is also based on the deviation between the two variables and their respective average values, and the degree of correlation between the two variables is reflected by multiplying the two deviations;

The formula is defined as follows:

Among them, Cov(X,Y) is the covariance of X and Y, Var[X] is the variance of X, and Var[Y] is the variance of Y; the value range of the correlation is between -1 and +1, that is -1≤r≤1.

The relevant criteria are as follows:

When │r│=1, x and y are completely correlated;

When │r│=0, x and y are irrelevant;

When │r│≤0.3, x and y are weakly correlated;

When 0.3＜│r│≤0.5, x and y are highly correlated;

When 0.5＜│r│≤0.8, x and y are significantly correlated;

When 0.8<│r│<1, x and y are highly correlated.

When r is a positive value, it is a positive correlation, and the two groups of data have the same trend; when r is a negative value, it is a negative correlation, and the two groups of data have opposite trends. In the embodiment of the present invention, data with the same trend needs to be selected, and 0.8<r≤1 is defined as satisfying the threshold.

In some embodiments, the selected first historical period is the past week, and the week is divided into seven days-based periods. As shown in Table 1:

Table 1

Then the correlation between each day and other days of the week is the data shown in Table 2:

Table 2

It can be known from the data shown in FIG. 2 that in the selected first historical time period, the correlation between each cycle and other cycles is between 80% and 100%. The resulting model is a normal operating model.

In some embodiments, the data in the above Table 1 is used as the normal operation model data, and the operation data in the preset time period is obtained. If the obtained data is the data of Tuesday in the historical time period, the real-time data of Tuesday is compared with the above table. The data on Tuesday in 1 is used to calculate the correlation, and the calculation formula is the above formula.

S304. Determine the rack load rate in the first historical time period as the rack normal operation model, and each IT equipment load rate as the normal operation model of each IT equipment.

S305. Acquire the load rate of the cabinet and the load rate of each IT equipment within a preset time period.

In some embodiments, the preset time period is the time period that needs to be monitored.

S306. Determine whether the load ratio of the rack and the load ratio of each IT equipment within the preset time period meet the fourth preset threshold; if yes, go to step S307; if not, go to step S309.

In some embodiments, determining whether the load ratio of the rack and the load ratio of each IT equipment within the preset time period meets a threshold value includes determining whether the load ratio of the cabinet and the load ratio of each IT equipment within the preset time period is greater than or equal to 20%, wherein 20% can be set artificially, which is not limited here.

S307: Determine whether the difference between the load ratio of the cabinet and the load ratio of each IT equipment and the normal operation model within the preset time period satisfies the first preset threshold; if so, go to step S308; if not, go to step S309 ;

In some embodiments, it is determined whether the difference between the load rate of the cabinet and the load rate of each IT equipment and the normal operation model within a preset time period satisfies a preset threshold to obtain normal operation model data, and obtain the operation within the preset time period. Calculate the correlation between the cabinet load rate and each IT equipment load rate within the preset time period and the data in the normal operation model data, and determine whether the calculated correlation meets the threshold. The calculation formula is the above formula.

S308, it is determined that the IT equipment does not have idle resources.

In some embodiments, after it is determined that there is no idle resource, the load ratio of the rack and the load ratio of each IT equipment in the next preset time are checked. The check steps are the same as the above steps, and are not repeated here.

S309, it is determined that the IT equipment has idle resources.

S310. Generate prompt information, where the prompt information is used to prompt the user of idle cabinets and IT equipment.

In some embodiments, prompting the user of idle racks and IT equipment includes sending the generated prompt information to the smart terminal.

S311. Select the load ratio of the cabinet and the load ratio of each IT equipment in the second historical time period and proceed to step S301.

In some embodiments, a second historical time period is selected and the data of the second historical time period is checked according to the above steps. If the degree threshold is set, the data in the second historical time period is used as the normal operation model.

The idle resource discovery method according to the embodiment of the present invention can obtain the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, wherein the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT equipment is the ratio of the real-time power of the cabinet to the rated power of the cabinet. The ratio of the real-time power to the rated power of each IT equipment, according to the rack load rate in the first historical period and the load rate of each IT equipment, establish a normal operation model of the rack and IT equipment, and obtain the rack load rate and each IT equipment in the preset time period. IT equipment load rate, and determine the cabinet load rate within a preset time period and the difference between the IT equipment load rate and the normal operation model, and when the difference does not meet the first preset threshold, determine that the IT equipment is idle Resources can discover idle resources in the IT room.

Based on the same inventive concept, an embodiment of the present invention provides a device for discovering idle resources in a cabinet. FIG. 4 is a schematic structural diagram of an apparatus for discovering idle resources in a cabinet according to an embodiment of the present invention. As shown in FIG. 4 , the apparatus includes:

The obtaining module 401 is used to obtain the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period, wherein the load ratio of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load ratio of each IT equipment is the real-time power of each IT device. Ratio to rated power;

The determining module 402 is configured to establish a normal operation model of the cabinet and the IT equipment according to the load ratio of the cabinet and the load ratio of each IT equipment in the first historical time period;

The determining module 402 is further configured to obtain the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period, and determine the difference between the load ratio of the cabinet and the load ratio of each IT equipment in the preset time period and the normal operation model;

The determining module 402 is further configured to determine that the IT equipment has idle resources when the difference value does not meet the preset threshold.

In some embodiments, the determining module 402 is specifically configured to:

Determine whether the load ratio of the cabinet and the load ratio of each IT equipment in the first historical period meet the second threshold;

If both the rack load rate and the load rate of each IT equipment meet the threshold, the first historical time period is divided into multiple periods, and the rack load rate of each period and the load rate of each IT equipment and the first historical period are determined. Whether the correlation between the load rate of the cabinet and the load rate of each IT equipment in other cycles meets the third preset threshold;

If the correlation degree satisfies the third preset threshold, determine that the rack load rate in the first historical time period is the normal operation model of the rack, and the load rate of each IT equipment is the normal operation model of each IT equipment;

If the load rate of the cabinet, the load rate of each IT equipment or the correlation degree does not meet the corresponding threshold, select the second historical time period, and determine whether the data of the second historical time period meets the corresponding threshold, wherein the second historical time period is the same as the first historical time period. A historical time period does not overlap.

In some embodiments, the determining module 402 is also used to:

Determine whether the load ratio of the cabinet and the load ratio of each IT equipment within the preset time period meet the fourth preset threshold;

If the threshold is met, determine the load ratio of the cabinet within the preset time period and the difference between the load ratio of each IT equipment and the normal operation model;

In some embodiments, the determining module 402 is also used to:

If the difference satisfies the first preset threshold, it is determined that the IT equipment does not have idle resources.

In some embodiments, the apparatus further includes: a prompt module, where the prompt module 403 is configured to generate prompt information, and the prompt information is used to prompt the user of idle cabinets and IT equipment.

Other details of the apparatus for discovering idle resources in a cabinet according to an embodiment of the present invention are similar to the method for discovering idle resources in a cabinet described above in conjunction with the embodiments shown in FIGS. 2 to 3 , and can achieve its corresponding technical effects. description, which will not be repeated here.

FIG. 5 is a structural diagram of an exemplary hardware architecture of an idle resource discovery device in a cabinet according to an embodiment of the present invention.

As shown in FIG. 5 , the idle resource discovery device 500 in the cabinet includes an input device 501 , an input interface 502 , a central processing unit 503 , a memory 504 , an output interface 505 , and an output device 504 . Among them, the input interface 502, the central processing unit 503, the memory 504, and the output interface 505 are connected to each other through the bus 10, and the input device 501 and the output device 504 are connected to the bus 510 through the input interface 502 and the output interface 505 respectively, and then are idle in the cabinet. Other components of the resource discovery device 500 are connected.

Specifically, the input device 501 receives input information from the outside, and transmits the input information to the central processing unit 503 through the input interface 502; the central processing unit 503 processes the input information based on the computer-executable instructions stored in the memory 504 to generate output information, temporarily or permanently store the output information in the memory 504, and then transmit the output information to the output device 504 through the output interface 505; the output device 504 outputs the output information to the outside of the idle resource discovery device 500 in the cabinet for the user to use.

That is, the device for discovering idle resources in a cabinet shown in FIG. 5 can also be implemented to include: a memory storing computer-executable instructions; and a processor, which, when executing the computer-executable instructions, can be implemented in conjunction with FIG. The method for discovering devices in idle resources in a cabinet described in FIG. 2 .

In one embodiment, the device 500 for discovering idle resources in a cabinet shown in FIG. 5 may be implemented as a device, and the device may include: a memory for storing a program; a processor for running the program stored in the memory, To execute the coverage determination method of the embodiment of the present invention.

Embodiments of the present invention further provide a computer storage medium, where computer program instructions are stored thereon, and when the computer program instructions are executed by a processor, the method for discovering idle resources in a cabinet according to the embodiment of the present invention is implemented.

It is to be understood that the present invention is not limited to the specific arrangements and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above-described embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the sequence of steps after comprehending the spirit of the present invention.

The functional blocks shown in the above structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an application specific integrated circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, elements of the invention are programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted over a transmission medium or communication link by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and the like. The code segments may be downloaded via a computer network such as the Internet, an intranet, or the like.

It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be different from the order in the embodiments, or several steps may be performed simultaneously.

The above are only specific embodiments of the present invention, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, modules and units can be referred to in the foregoing method embodiments. The corresponding process is not repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should all cover within the protection scope of the present invention.

Claims (10)

1. A method for discovering idle resources in a cabinet is characterized by comprising the following steps:

acquiring a load rate of a cabinet and load rates of IT equipment in a first historical time period, wherein the load rate of the cabinet is a ratio of real-time power of the cabinet to rated power of the cabinet, and the load rates of the IT equipment are ratios of real-time power of the IT equipment to rated power of the IT equipment;

establishing a normal operation model of the equipment cabinet and the IT equipment according to the load rate of the equipment cabinet and the load rate of each IT equipment in the first historical time period;

acquiring a cabinet load rate and each IT equipment load rate in a preset time period, and determining a difference value between the cabinet load rate and each IT equipment load rate in the preset time period and a normal operation model;

and when the difference value does not meet a first preset threshold value, determining that idle resources exist in the IT equipment.

2. The method of claim 1, wherein modeling normal operation of the rack and the IT equipment comprises:

determining whether the load rate of the cabinet and the load rates of the IT devices in a first historical time period meet a second preset threshold value;

if the load rates of the cabinets and the IT equipment meet a second preset threshold, dividing the first historical time period into a plurality of periods, and determining whether the correlation between the cabinet load rate of each period and the load rates of the IT equipment and the load rates of the cabinets and the IT equipment in other periods in the first historical time period meet a third preset threshold;

if the correlation degree meets a third preset threshold value, determining that the load rate of the cabinet in the first historical time period is a normal operation model of the cabinet, and the load rate of each IT device is a normal operation model of each IT device;

if the load rate of the cabinet, the load rate of each IT device or the correlation degree does not meet the corresponding threshold value, selecting a second historical time period, and determining whether the data of the second historical time period meets the corresponding threshold value, wherein the second historical time period is not overlapped with the first historical time period.

3. The method of claim 1, further comprising:

determining whether the load rate of the equipment cabinet and the load rates of the IT devices in a preset time period meet a fourth preset threshold value;

and if the preset time period meets the threshold value, determining the load rate of the cabinet in the preset time period and the difference value between the load rate of each IT device and the normal operation model.

4. The method of claim 1, further comprising:

and if the difference value meets a first preset threshold value, determining that idle resources do not exist in the IT equipment.

5. The method according to any one of claims 1 to 4, further comprising:

and generating prompt information, wherein the prompt information is used for prompting the idle equipment cabinet and IT equipment of the user.

6. An apparatus for discovering idle resources in a cabinet, the apparatus comprising:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring the load rate of a cabinet and the load rate of each IT device in a first historical time period, the load rate of the cabinet is the ratio of the real-time power of the cabinet to the rated power of the cabinet, and the load rate of each IT device is the ratio of the real-time power of each IT device to the rated power;

the determining module is used for establishing a normal operation model of the cabinet and the IT equipment according to the load rate of the cabinet and the load rate of each IT equipment in the first historical time period;

the determining module is further used for acquiring the load rate of the cabinet and the load rate of each IT device in a preset time period, and determining the difference value between the load rate of the cabinet and each IT device in the preset time period and a normal operation model;

and the determining module is further used for determining that idle resources exist in the IT equipment when the difference value does not meet a preset threshold value.

7. The apparatus of claim 6, wherein the determining module is specifically configured to:

determining whether the load rate of the cabinet and the load rates of the IT devices in a first historical time period meet a second threshold value;

if the load rates of the cabinets and the IT equipment meet a second preset threshold, dividing the first historical time period into a plurality of periods, and determining whether the correlation between the cabinet load rate of each period and the load rates of the IT equipment and the cabinet load rates and the equipment load rates of other remaining periods in the first historical time period meet a third preset threshold;

if the correlation degree meets a third preset threshold value, determining that the load rate of the cabinet in the first historical time period is a normal operation model of the cabinet, and the load rate of each IT device is a normal operation model of each IT device;

if the load rate of the cabinet, the load rate of each IT device or the correlation degree does not meet the corresponding threshold value, selecting a second historical time period, and determining whether the data of the second historical time period meets the corresponding threshold value, wherein the second historical time period is not overlapped with the first historical time period.

8. The apparatus of claim 6, wherein the determining module is further configured to:

determining whether the load rate of the cabinet and the load rates of the IT devices in a preset time period meet a fourth preset threshold value;

if the preset time period meets the threshold, determining whether the difference value between the load rate of the cabinet and the load rate of each IT device in the preset time period and the normal operation model meets the preset threshold;

and if the threshold value is not met, determining that idle resources exist in the IT equipment.

9. An in-cabinet idle resource discovery apparatus, the apparatus comprising: a processor, and a memory storing computer program instructions; the processor reads and executes the computer program instructions to implement the in-cabinet idle resource discovery method of any one of claims 1-5.

10. A computer storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of discovering idle resources in a cabinet as claimed in any one of claims 1 to 5.

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