CN116016176A - Automatic distribution method and device for data center equipment - Google Patents
Automatic distribution method and device for data center equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses an automatic distribution method and device of data center equipment, wherein the method comprises the following steps: receiving configuration requirements of a user, and sequencing the configuration requirements according to a preset priority; acquiring a current available cabinet area; screening the current available cabinet areas step by step based on the ordered configuration requirements; and determining the setting position of the data center equipment based on the screening result. The method and the device solve the technical problems of low efficiency, time consumption and more labor consumption existing in the prior art of manually distributing the positions of the data center equipment, improve the position distribution efficiency of the data center equipment, and save manual beneficial effects.
Description
Technical Field
The embodiment of the invention relates to the technical field of network communication, in particular to an automatic distribution method and device of data center equipment.
Background
The advent of new technologies such as big data, 5G, VR/AR, autopilot, cloud computing, etc., has put forward higher computational power density requirements on infrastructure such as servers, network devices, storage, etc. The high stability, high reliability, high performance and high available computing power requirements drive the construction and development of large data centers.
At present, the position allocation to be erected in a data center is still performed manually, and the timeliness requirement of the production position allocation of the mass equipment cannot be met.
Disclosure of Invention
The embodiment of the invention provides an automatic distribution method and device for data center equipment, which solve the technical problems of low efficiency, time consumption and more labor consumption in the prior art that the manual mode is adopted for distributing the positions of the data center equipment.
According to an aspect of the present invention, there is provided an automatic allocation method of data center equipment, the automatic allocation method including:
receiving configuration requirements of a user, and sequencing the configuration requirements according to a preset priority;
acquiring a current available cabinet area;
screening the currently available cabinet areas step by step based on the ordered configuration requirements;
and determining the setting position of the data center equipment based on the screening result.
According to another aspect of the present invention, there is provided an automatic allocation apparatus of data center equipment, the automatic allocation apparatus comprising:
the demand identification unit is used for receiving configuration demands of users and sequencing the configuration demands according to preset priorities;
the area acquisition unit is used for acquiring the current available cabinet area;
the position selection unit is used for screening the current available cabinet area step by step based on the ordered configuration requirements;
and the position determining unit is used for determining the setting position of the data center equipment based on the screened result.
According to another aspect of the present invention, there is provided an automatic allocation apparatus of a data center apparatus, the automatic allocation apparatus comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of automatically assigning data center devices according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the method for automatically allocating data center devices according to any embodiment of the present invention.
The embodiment of the invention discloses an automatic distribution method and device of data center equipment, wherein the method comprises the following steps: receiving configuration requirements of a user, and sequencing the configuration requirements according to a preset priority; acquiring a current available cabinet area; screening the current available cabinet areas step by step based on the ordered configuration requirements; and determining the setting position of the data center equipment based on the screening result. The method and the device solve the technical problems of low efficiency, time consumption and more labor consumption existing in the prior art of manually distributing the positions of the data center equipment, improve the position distribution efficiency of the data center equipment, and save manual beneficial effects.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for automatically allocating data center devices according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for automatic allocation of data center devices provided by an embodiment of the present invention;
FIG. 3 is a flow chart of yet another method for automatic allocation of data center devices provided by an embodiment of the present invention;
FIG. 4 is a block diagram of an automatic distribution device of data center equipment according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an automatic distribution device of a data center device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of an automatic allocation method of a data center device according to an embodiment of the present invention, where the method may be performed by an automatic allocation apparatus of a data center device, and the automatic allocation apparatus of a data center device may be implemented in a form of hardware and/or software and may be generally integrated in a server. The data acquisition, storage, use, processing and the like in the technical scheme meet the relevant regulations of national laws and regulations.
As shown in fig. 1, the automatic allocation method of the data center device specifically includes the following steps:
s101, receiving configuration requirements of a user, and sequencing the configuration requirements according to a preset priority.
Optionally, the configuration requirements include at least: network area requirements, device model requirements, device size requirements, device power requirements, device network interface requirements, and storage type requirements.
Specifically, the user generally refers to a service demander, and when the user wishes to configure a data center with a set specification, a corresponding configuration requirement is set to the device provider, where the configuration requirement at least includes a network area requirement, a device model requirement, a device size requirement, a device power requirement, a device network interface requirement, and a storage type requirement.
The network area requirements comprise public cloud areas, private cloud areas, office areas, third party areas and the like, and are recorded as distribution parameters; the equipment model requirement refers to the specific model of the equipment; the equipment size requirement refers to the physical size of equipment, the U-shaped space occupied by the equipment is determined according to the physical size of the equipment, the equipment model requirement and the equipment size requirement are jointly recorded as USPACE parameters, and it is to be noted that U (unit for short) is a unit for representing the external size of a server in a cabinet of a data center; the POWER supply requirement of the equipment refers to the energy consumption requirement of a single equipment, such as the POWER size, the current size or the alternating current/direct current requirement, for example, the POWER connector of the equipment is 10A or 16A according to the model of the equipment, and the POWER supply requirement of the equipment is recorded as a POWER parameter; the device network interface requirement refers to the port rate and the port number required by the device according to the type of the network card interface configured by the device, for example, the port rate can be 1Gbps, 16Gbps or 25Gbps, and the device network interface requirement is recorded as a NetPort parameter; the STORAGE type refers to a STORAGE type determined according to the STORAGE resource requirement of the device, and comprises a SAN (Storage Area Network ), a NAS (Network Attached Storage, network attached STORAGE), distributed STORAGE and the like, and is recorded as a STORAGE parameter; the user can set the parameters according to the configuration requirement of the data center required by the user.
After the configuration requirements of the user are obtained, in order to improve the screening efficiency of the subsequent cabinet areas, the configuration requirements are required to be sorted according to preset priorities, so that the configuration requirements are screened step by step according to sorting results, and the cabinet areas can be conveniently and quickly determined.
Optionally, S101, ordering the configuration requirements according to a preset priority specifically includes: setting the network area requirement as a first priority; setting the equipment model requirement and the equipment size requirement as a second priority; setting the device power requirements to a third priority; setting the device network interface requirements to a fourth priority; the storage type requirements are set to a fifth priority.
Specifically, the first priority is the distribution parameter, the second priority is the usace parameter, the third priority is the POWER parameter, the fourth priority is the NetPort parameter, and the fifth priority is the STORAGE parameter. Generally, the preset priority is set manually according to experience, and if other configuration requirements exist, such as the number of devices, the environmental conditions required by the devices, etc., other priorities may be set according to requirements, which is not limited herein.
S102, acquiring a current available cabinet area.
Specifically, the rack area of a data center is typically located in a fixed location, and there are multiple racks within a single data center room, some of which are occupied and therefore require access to the currently available rack area for subsequent screening.
S103, screening the current available cabinet areas step by step based on the ordered configuration requirements.
Specifically, after the configuration requirements of the users are ordered, the current available cabinet areas are screened step by step according to the priority in the ordering, and finally the available cabinet areas meeting all the configuration requirements are obtained.
S104, determining the setting position of the data center equipment based on the screened result.
Specifically, after the opportunity area meeting the condition is obtained, the specific setting position of the data center equipment is finally determined based on the screened cabinet area, namely, the specific direction set in the available cabinet area is determined, and the setting requirement of the data center of the user is completed.
The method and the device solve the technical problems of low efficiency, time consumption and more labor consumption existing in the prior art of manually distributing the positions of the data center equipment, improve the position distribution efficiency of the data center equipment, and save manual beneficial effects.
Based on the above technical solutions, S103, based on the configuration requirement of ordering completion, the step-by-step screening of the currently available cabinet area specifically includes:
and based on the ordered configuration requirements, the current available cabinet area is screened step by step from the configuration requirement with the highest priority, and each time, the screening is carried out from the last screening result.
The screening is started from the first priority distribution parameter, a cabinet Area corresponding to the network Area is obtained according to the distribution parameter required by the user, and a cabinet Area1 meeting the condition is output; screening the second priority USPACE parameters after screening the first priority, wherein the residual areas of all cabinets need to be queried in a cabinet Area1, the cabinet areas meeting the USPACE parameters are screened and output as a cabinet Area2, for example, an AA cabinet Area comprises a cabinet 1A, the residual space is 12U, a BB cabinet Area comprises a cabinet 1B, the residual space is 10U, a CC cabinet Area comprises a cabinet 1C, the residual space is 0U … …, and the cabinet Area2 meeting the conditions is screened out; the screening of the third priority POWER parameter is performed after the screening of the second priority, for example, the POWER consumption requirement of a certain device to be put into production is 600W, the number/model of the POWER plugs is 2 plugs/standard, the current selection includes 10A/16A/32A, etc., and the cabinet Area meeting the above POWER requirement in the cabinet Area2 may be as shown in table 1, and the cabinet Area in table 1 is output as cabinet Area3.
TABLE 1 Cabinet regions meeting third priority POWER parameters
Specifically, screening of the fourth priority NetPort parameter is performed after the third priority screening, screening is performed from the cabinet Area3, a cabinet Area meeting the NetPort parameter is selected, the cabinet Area is output as the cabinet Area4, and table 2 exemplarily shows the cabinet Area4 meeting the NetPort parameter.
TABLE 2 Rack area meeting fourth priority NetPort parameters
| Cabinet area | Cabinet (cabinet) | Network port type | Number of network ports |
| XX cabinet region | 1A | Optical port/16G multimode | 16 |
| XX cabinet region | 1B | Optical port/25G multimode | 12 |
| XX cabinet region | 2C | Optical port/100G single mode | 20 |
| XX cabinet region | …… | …… |
Specifically, screening of the fifth priority STORAGE parameter is performed after the fourth priority screening, and screening is performed from the cabinet Area4 according to the set STORAGE type (for example, SAN STORAGE is required) in the configuration parameter, so as to obtain a screening conclusion shown in table 3, and the screening conclusion is output as the cabinet Area5.
TABLE 3 Cabinet regions meeting fifth priority STORAGE parameter
| Cabinet area | Cabinet (cabinet) | Whether or not there are SAN storage resources |
| XX cabinet region | 1A | Has the following components |
| XX cabinet region | 1B | Whether or not |
| XX cabinet region | 2C | Has the following components |
| XX cabinet region | …… | …… |
Finally, the specific location where the data center equipment can be set is determined from the enclosure Area5.
On the basis of the above technical solutions, fig. 2 is a flowchart of another automatic allocation method of data center equipment according to an embodiment of the present invention, as shown in fig. 2, before S104, the automatic allocation method further includes:
s201, acquiring image information of a cabinet area in a screening result.
Specifically, in order to locate the cabinet area more accurately, an image recognition technology can be added to further verify whether the cabinet area screened according to the configuration requirement of the user can be provided with new equipment. For example, an image acquisition device may be used to obtain image information of a corresponding cabinet region in the screening result.
S202, judging whether each cabinet in the screening result meets the equipment installation condition or not based on the image information.
Specifically, after the corresponding image information is obtained, whether the screened cabinet area can currently meet a certain installation condition or not is identified by utilizing an image identification technology, for example, whether abnormal conditions such as waterfall and the like exist or not is judged, and installation is impossible or the like is caused.
S203, screening out cabinets meeting the equipment installation conditions, and executing the step of determining the setting positions of the data center equipment.
Specifically, after the cabinets meeting the equipment installation conditions are screened out based on the image information of the cabinet areas, the equipment positions of the data center equipment are determined according to the screened cabinet areas, so that the installation positions of the equipment can be determined more accurately and rapidly.
On the basis of the above technical solutions, fig. 3 is a flowchart of another automatic allocation method of data center equipment according to an embodiment of the present invention, where, as shown in fig. 3, before S104, the automatic allocation method further includes:
s301, acquiring environment information of a cabinet area in a screening result and environment requirements of data center equipment.
In particular, in some cases, environmental conditions may also have an impact on the installation of data center equipment, for example, some equipment is more sensitive to ambient temperature, and thus the ambient temperature conditions of the cabinet area may also need to be considered when selecting the cabinet area. The environmental information collection device such as a temperature sensor, a humidity sensor and the like can be used for sampling the environmental information of the cabinet area in the screening result, and the environmental information includes, but is not limited to, the temperature, the humidity and the like of the cabinet area.
S302, judging whether the environmental information of the cabinet area in the screening result meets the environmental requirements of the data center equipment.
Specifically, after the corresponding environment information is acquired, the environment requirement of the data center equipment to be installed is utilized to judge whether the environment where the cabinet area is located in the screening result can meet the environment required by the equipment.
S303, screening the cabinets meeting the environmental requirements, and executing the step of determining the setting positions of the data center equipment.
Specifically, after the cabinet areas meeting the environmental requirements of the equipment are screened out, the equipment positions of the data center equipment are determined according to the screened cabinet areas, so that the installation positions of the equipment can be determined more accurately and rapidly.
Fig. 4 is a structural diagram of an automatic allocation apparatus for data center equipment according to an embodiment of the present invention, and as shown in fig. 4, the automatic allocation apparatus for data center equipment includes:
the requirement identifying unit 41 is configured to receive a configuration requirement of a user, and order the configuration requirement according to a preset priority;
an area obtaining unit 42, configured to obtain a currently available cabinet area;
the location selection unit 43 is configured to screen the currently available cabinet area step by step based on the ordered configuration requirement;
a location determining unit 44 for determining a setting location of the data center device based on the result after screening.
Alternatively, the position selection unit 43 is specifically configured to:
and based on the ordered configuration requirements, the current available cabinet area is screened step by step from the configuration requirement with the highest priority, and each time, the screening is carried out from the last screening result.
Optionally, before the location determining unit 44 determines the setting location of the data center device based on the result after the screening, the automatic allocation apparatus further includes:
the image acquisition unit is used for acquiring the image information of the cabinet area in the screening result;
the image recognition unit is used for judging whether each cabinet in the screening result meets the equipment installation condition or not based on the image information;
the location determining unit 44 is further configured to screen out cabinets that satisfy the equipment installation conditions, and perform the step of determining the set location of the data center equipment.
Optionally, before the location determining unit 44 determines the setting location of the data center device based on the result after the screening, the automatic allocation apparatus further includes:
the environment information acquisition unit is used for acquiring the environment information of the cabinet area and the environment requirement of the data center equipment in the screening result;
the environment condition judging unit is used for judging whether the environment information of the cabinet area in the screening result meets the environment requirement of the data center equipment;
the location determining unit 44 also screens out cabinets meeting environmental requirements, and performs the step of determining the set location of the data center equipment.
The automatic distribution device of the data center equipment provided by the embodiment of the invention can execute the automatic distribution method of the data center equipment provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 5 is a schematic structural diagram of an automatic distribution device of a data center device according to an embodiment of the present invention. The automatic distribution equipment of the data center equipment is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as an automatic allocation method for data center equipment.
In some embodiments, the method of automatic allocation of data center devices may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the automatic allocation method of data center devices described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the automatic allocation method of data center devices in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
Embodiments of the present invention also provide a computer program product comprising computer executable instructions for performing the automatic allocation method of data center devices provided by any of the embodiments of the present invention when executed by a computer processor.
Of course, the computer program product provided by the embodiments of the present application, whose computer executable instructions are not limited to the method operations described above, may also perform the relevant operations in the method provided by any of the embodiments of the present invention.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An automatic distribution method of data center equipment, characterized in that the automatic distribution method comprises the following steps:
receiving configuration requirements of a user, and sequencing the configuration requirements according to a preset priority;
acquiring a current available cabinet area;
screening the currently available cabinet areas step by step based on the ordered configuration requirements;
and determining the setting position of the data center equipment based on the screening result.
2. The method for automatic allocation of data center equipment according to claim 1, wherein the configuration requirements include at least: network area requirements, device model requirements, device size requirements, device power requirements, device network interface requirements, and storage type requirements.
3. The method of automatic allocation of data center equipment according to claim 2, wherein ordering the configuration requirements according to a preset priority comprises:
setting the network area requirement to a first priority;
setting the device model requirement and the device size requirement to a second priority;
setting the device power requirements to a third priority;
setting the device network interface requirements to a fourth priority;
the storage type requirements are set to a fifth priority.
4. The method of automatic allocation of data center equipment according to claim 1, wherein progressively screening the currently available rack area based on the ordered configuration requirements comprises:
and screening the currently available cabinet area step by step from the configuration requirement with the highest priority based on the configuration requirement with the completed sequencing, and screening from the last screening result each time.
5. The automatic allocation method of data center equipment according to claim 1, wherein before determining the set position of the data center equipment based on the result after screening, the automatic allocation method further comprises:
acquiring image information of a cabinet area in a screening result;
judging whether each cabinet in the screening result meets equipment installation conditions or not based on the image information;
screening out cabinets meeting the equipment installation conditions, and executing the step of determining the setting positions of the data center equipment.
6. The automatic allocation method of data center equipment according to claim 1, wherein before determining the set position of the data center equipment based on the result after screening, the automatic allocation method further comprises:
acquiring environment information of a cabinet area in a screening result and environment requirements of the data center equipment;
judging whether the environmental information of the cabinet area in the screening result meets the environmental requirement of the data center equipment;
screening the cabinets meeting the environmental requirements, and executing the step of determining the setting positions of the data center equipment.
7. An automatic distribution device for data center equipment, characterized in that the automatic distribution device comprises:
the demand identification unit is used for receiving configuration demands of users and sequencing the configuration demands according to preset priorities;
the area acquisition unit is used for acquiring the current available cabinet area;
the position selection unit is used for screening the current available cabinet area step by step based on the ordered configuration requirements;
and the position determining unit is used for determining the setting position of the data center equipment based on the screened result.
8. An automatic distribution apparatus of data center apparatus, characterized in that the automatic distribution apparatus of data center apparatus comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the automatic allocation method of data center apparatus of any one of claims 1-6.
9. A computer readable storage medium storing computer instructions for causing a processor to perform the method of automatically assigning data center equipment according to any one of claims 1-6.
10. A computer program product, characterized in that it comprises a computer program which, when executed by a processor, implements the automatic allocation method of data center equipment according to any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211550333.2A CN116016176A (en) | 2022-12-05 | 2022-12-05 | Automatic distribution method and device for data center equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211550333.2A CN116016176A (en) | 2022-12-05 | 2022-12-05 | Automatic distribution method and device for data center equipment |
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| Publication Number | Publication Date |
|---|---|
| CN116016176A true CN116016176A (en) | 2023-04-25 |
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|---|---|---|---|
| CN202211550333.2A Pending CN116016176A (en) | 2022-12-05 | 2022-12-05 | Automatic distribution method and device for data center equipment |
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| Country | Link |
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| CN (1) | CN116016176A (en) |
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