CN113472565A - Method, device, equipment and computer readable medium for expanding server function - Google Patents
Method, device, equipment and computer readable medium for expanding server function Download PDFInfo
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
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Abstract
The embodiment of the disclosure discloses a method and a device for expanding the capacity of a server function, electronic equipment and a computer readable medium. One embodiment of the method comprises: acquiring a public cloud resource information set, a service information set and historical configuration information; carrying out tree form conversion on the public cloud resource information set and the service information set to obtain public cloud resource tree form information and service tree form information; generating a resource service information set based on the public cloud resource tree information and the service tree information; receiving target service information sent by a client; generating target public cloud resource information based on the target service information and the resource service information set; and generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information. The implementation mode can reduce the time occupied by the server function capacity expansion process and the computer memory, thereby improving the efficiency of operation, maintenance and delivery.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for expanding the capacity of a server function, an electronic device and a computer readable medium.
Background
The service tree system is a system capable of providing self-service management and query functions of operation and maintenance resources. When the server function is expanded, the server used for expanding the server function is often queried first, and then the corresponding operation is performed.
However, when the server function is expanded in the above manner, there are often the following technical problems:
when the server function is expanded, the server needs to be determined and the parameters need to be configured, so that more time and computer memory need to be occupied for expanding the server function, and the efficiency of operation, maintenance and delivery is reduced.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a computer-readable medium for expanding a server function, so as to solve one or more of the technical problems mentioned in the above background.
In a first aspect, some embodiments of the present disclosure provide a method for server function extension, including: acquiring a public cloud resource information set, a service information set and historical configuration information; carrying out tree form conversion on the public cloud resource information set and the service information set to obtain public cloud resource tree form information and service tree form information; generating a resource service information set based on the public cloud resource tree information and the service tree information; receiving target service information sent by a client; generating target public cloud resource information based on the target service information and the resource service information set; and generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information.
In a second aspect, some embodiments of the present disclosure provide a capacity expansion apparatus for server functions, the apparatus including: the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire a public cloud resource information set, a service information set and historical configuration information; the tree-shaped conversion unit is configured to perform tree-shaped conversion on the public cloud resource information set and the service information set to obtain public cloud resource tree-shaped information and service tree-shaped information; a first generating unit configured to generate a resource business information set based on the public cloud resource tree information and the business tree information; the receiving unit is configured to receive the target service information sent by the client; a second generating unit configured to generate target public cloud resource information based on the target service information and the resource service information set; and a third generating unit configured to generate server capacity expansion information based on the historical configuration information and the target public cloud resource information.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: the capacity expansion method of the server function of some embodiments of the disclosure expands the capacity of the server function, and improves the efficiency of operation and maintenance delivery. Specifically, the reason for the low efficiency of operation and maintenance delivery is that: when the server function is expanded, the server needs to be determined and the parameters need to be configured, so that the expansion of the server function needs to take more time and computer memory. Based on this, in the capacity expansion method of the server function according to some embodiments of the present disclosure, first, a public cloud resource information set, a service information set, and historical configuration information are obtained, and tree transformation is performed on the public cloud resource information set and the service information set to obtain public cloud resource tree information and service tree information. Thus, the tree information can be concatenated by concatenating the service tree and the service tree. And secondly, generating a resource business information set based on the public cloud resource tree information and the business tree information. Therefore, a resource service information set of the public cloud resources and services corresponding to the services can be obtained, so that the public cloud resource information corresponding to the target service information can be inquired subsequently. Then, target service information sent by the client can be received, and target public cloud resource information is generated based on the target service information and the resource service information set. Therefore, the target public cloud resource information corresponding to the target service information can be determined by inquiring the resource service information set, so that the subsequent expansion of the server function can be realized. And finally, generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information. Therefore, the target public cloud resource information corresponding to the target service information can be determined according to the resource service information set, and the capacity expansion of the server function is realized, so that the time occupied by the capacity expansion process of the server function and the computer memory are reduced, and the operation and maintenance delivery efficiency is improved.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic diagram of one application scenario of a method of server function expansion according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a method of server function expansion according to the present disclosure;
FIG. 3 is a schematic block diagram of some embodiments of a server-enabled capacity device according to the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device of an expansion method of a server function according to the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram 100 of one application scenario of the method of server function expansion according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain a public cloud resource information set 102, a business information set 103, and historical configuration information 104. Then, the computing device 101 may perform tree transformation on the public cloud resource information set 102 and the business information set 103 to obtain public cloud resource tree information 105 and business tree information 106. Thereafter, the computing device 101 may generate a resource business information set 107 based on the public cloud resource tree information 105 and the business tree information 106. Next, the computing device 101 may receive the target business information 108 sent by the client. Then, the computing device 101 may generate target public cloud resource information 109 based on the target business information 108 and the resource business information set 107. Finally, the computing device 101 may generate server function capacity expansion information 110 based on the historical configuration information 104 and the target public cloud resource information 109.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a method of server function expansion according to the present disclosure is shown. The method for expanding the server function comprises the following steps:
In some embodiments, an executing subject of the capacity expansion method for the server function (e.g., the computing device 101 shown in fig. 1) may obtain the public cloud resource information set, the service information set, and the historical configuration information through a wired connection manner or a wireless connection manner. Each public cloud resource information in the public cloud resource information set may include, but is not limited to, the following items: database information, server information, and load balancing information. The traffic information may be information of transactions that need to be processed. The historical configuration information may be server configuration information, database white list information, and load balancing information that needs to be bound before the current time.
As an example, the public cloud resource information may be arri cloud information, tengcong cloud information, or hua-yun cloud information. The public cloud resource information set may be { arri cloud information, Tencent cloud information, Hua is cloud information }. The service information set may be { service a information, service b information, service c information }. The server function can be constructed by calling a cloud manufacturer interface. When the server configuration information required during the construction of the server function is carried out, the server function can be constructed according to the inquired required server configuration information by inquiring the existing server configuration information in the database or the cloud service platform.
In some embodiments, the execution main body may perform tree transformation on the public cloud resource information set and the service information set by using a tree component in a desktop end component library to obtain the public cloud resource tree information and the service tree information. The public cloud resource tree information may be tree information including a plurality of parent resource hierarchies. The service tree information may be tree information including a plurality of parent service levels and a plurality of child service levels. A parent business hierarchy may have one or more child business hierarchies.
As an example, the public cloud resource tree information may be tree information including three parent resource hierarchies, which may be database information, server information, and load balancing information. The service tree information may be tree information including three parent service levels and two child service levels. Wherein, the three parent service levels can be a parent service level 1, a parent service level 2 and a parent service level 3. The parent business level 1 corresponds to two child business levels, and the parent business level 2 and the parent business level 3 have no child business levels.
And step 203, generating a resource service information set based on the public cloud resource tree information and the service tree information.
In some embodiments, the execution subject may generate a resource business information set based on the public cloud resource tree information and the business tree information. The resource service information in the resource service information set may be correspondence information between the public cloud resource tree information and the service tree information.
As an example, the execution main body may determine, by looking up historical resource configuration information in a database, public cloud resource information corresponding to each parent service level and each child service level in the service tree information, create a resource service relationship table according to each parent service level and each child service level and the corresponding public cloud resource information, and then determine each piece of association information in the resource service relationship table as resource service information to obtain a resource service information set. The historical resource configuration information may be resource service information corresponding to each service level before the current time point.
And step 204, receiving the target service information sent by the client.
In some embodiments, the execution subject may receive the target service information sent by the client through a wired connection manner or a wireless connection manner. The target service information may be service information corresponding to a service currently performed by a user.
As an example, the target service information may be server function capacity expansion task information. The execution main body can receive the target service information sent by the client in a wired connection mode or a wireless connection mode.
And step 205, generating target public cloud resource information based on the target service information and the resource service information set.
In some embodiments, the execution subject may generate target public cloud resource information based on the target business information and the resource business information set. The target public cloud resource information may be public cloud resource information corresponding to the target service information.
In some optional implementation manners of some embodiments, the generating target public cloud resource information based on the target service information and the resource service information set may include:
comparing the target service information with the resource service information set to obtain a comparison result;
and secondly, determining the public cloud resource information corresponding to the comparison result as target public cloud resource information.
As an example, the executing body may compare the target service information with the resource service information set, and if the target service information is consistent with any one of the resource service information in the resource service information set, determine public cloud resource information in the consistent resource service information as the target public cloud resource information.
And step 206, generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information.
In some embodiments, the execution subject may generate server function capacity expansion information based on the historical configuration information and the target public cloud resource information. The historical configuration information may be information including database information, server information, and load balancing information. The server function expansion information is information generated based on the historical configuration information.
As an example, the execution subject may generate server function capacity expansion information for the target public cloud resource information according to configuration information of the target public cloud resource information before the current time point.
Optionally, the server function capacity expansion information is sent to a server, so that the server performs capacity expansion of the server function according to the server function capacity expansion information. The expansion of the server function may be a change of the server function.
Optionally, performing data acquisition on the resource service information set every predetermined time period to obtain a resource service acquisition information set; determining whether the resource utilization rate corresponding to each resource service acquisition information in the resource service acquisition information set is greater than a preset threshold value or not based on the resource service acquisition information set; and generating resource resetting information in response to the fact that the resource utilization rate corresponding to the resource service acquisition information is smaller than or equal to a preset threshold value. The resource resetting information may be a resource resetting command, and the execution main body adjusts the configuration of the resource according to the resource resetting command.
Optionally, the resource resetting information is sent to the server, so that the server reconfigures the public cloud resource information according to the resource resetting information.
The above embodiments of the present disclosure have the following advantages: the capacity expansion method of the server function of some embodiments of the disclosure expands the capacity of the server function, and improves the efficiency of operation and maintenance delivery. Specifically, the reason for the low efficiency of operation and maintenance delivery is that: when the server function is expanded, the server needs to be determined and the parameters need to be configured, so that the expansion of the server function needs to take more time and computer memory. Based on this, in the capacity expansion method of the server function according to some embodiments of the present disclosure, first, a public cloud resource information set, a service information set, and historical configuration information are obtained, and tree transformation is performed on the public cloud resource information set and the service information set to obtain public cloud resource tree information and service tree information. Thus, the tree information can be concatenated by concatenating the service tree and the service tree. And secondly, generating a resource business information set based on the public cloud resource tree information and the business tree information. Therefore, a resource service information set of the public cloud resources and services corresponding to the services can be obtained, so that the public cloud resource information corresponding to the target service information can be inquired subsequently. Then, target service information sent by the client can be received, and target public cloud resource information is generated based on the target service information and the resource service information set. Therefore, the target public cloud resource information corresponding to the target service information can be determined by inquiring the resource service information set, so that the subsequent expansion of the server function can be realized. And finally, generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information. Therefore, the target public cloud resource information corresponding to the target service information can be determined according to the resource service information set, and the capacity expansion of the server function is realized, so that the time occupied by the capacity expansion process of the server function and the computer memory are reduced, and the operation and maintenance delivery efficiency is improved.
With further reference to fig. 3, as an implementation of the above method for the above figures, the present disclosure provides some embodiments of a server function expansion apparatus, which correspond to those of the method embodiments described above in fig. 2, and which can be applied to various electronic devices.
As shown in fig. 3, the server function expansion apparatus 300 of some embodiments includes: an acquisition unit 301, a tree transition unit 302, a first generation unit 303, a reception unit 304, a second generation unit 305, and a third generation unit 306. The acquiring unit 301 is configured to acquire a public cloud resource information set, a service information set and historical configuration information; a tree transformation unit 302 configured to perform tree transformation on the public cloud resource information set and the service information set to obtain public cloud resource tree information and service tree information; a first generating unit 303, configured to generate a resource service information set based on the public cloud resource tree information and the service tree information; a receiving unit 304 configured to receive the target service information sent by the client; a second generating unit 305 configured to generate target public cloud resource information based on the target service information and the resource service information set; a third generating unit 306 configured to generate server capacity expansion information based on the historical configuration information and the target public cloud resource information.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 404 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 404: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a public cloud resource information set, a service information set and historical configuration information; carrying out tree form conversion on the public cloud resource information set and the service information set to obtain public cloud resource tree form information and service tree form information; generating a resource service information set based on the public cloud resource tree information and the service tree information; receiving target service information sent by a client; generating target public cloud resource information based on the target service information and the resource service information set; and generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a tree transition unit, a first generation unit, a reception unit, a second generation unit, and a third generation unit. The names of these units do not form a limitation on the unit itself in some cases, and for example, the acquiring unit may also be described as a "unit that acquires a public cloud resource information set, a service information set, and historical configuration information".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (9)
1. A method for server function expansion, comprising:
acquiring a public cloud resource information set, a service information set and historical configuration information;
performing tree-form transformation on the public cloud resource information set and the service information set to obtain public cloud resource tree-form information and service tree-form information;
generating a resource service information set based on the public cloud resource tree information and the service tree information;
receiving target service information sent by a client;
generating target public cloud resource information based on the target service information and the resource service information set;
and generating server function capacity expansion information based on the historical configuration information and the target public cloud resource information.
2. The method of claim 1, wherein the method further comprises:
and sending the server function capacity expansion information to a server so that the server can perform capacity expansion of the server function according to the server function capacity expansion information.
3. The method of claim 2, wherein the method further comprises:
performing data acquisition on the resource service information set every other preset time period to obtain a resource service acquisition information set;
determining whether the resource utilization rate corresponding to each resource service acquisition information in the resource service acquisition information set is greater than a preset threshold value or not based on the resource service acquisition information set;
and generating resource resetting information in response to the resource utilization rate corresponding to the resource service acquisition information being less than or equal to a preset threshold value.
4. The method of claim 3, wherein the method further comprises:
and sending the resource resetting information to the server so that the server can reconfigure the public cloud resource information according to the resource resetting information.
5. The method of claim 4, wherein each public cloud resource information in the set of public cloud resource information comprises at least one of: database information, server information, and load balancing information.
6. The method of claim 5, wherein the generating target public cloud resource information based on the target traffic information and the set of resource traffic information comprises:
comparing the target service information with the resource service information set to obtain a comparison result;
and determining the public cloud resource information corresponding to the comparison result as target public cloud resource information.
7. An apparatus for server function expansion, comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire a public cloud resource information set, a service information set and historical configuration information;
the tree-shaped conversion unit is configured to perform tree-shaped conversion on the public cloud resource information set and the service information set to obtain public cloud resource tree-shaped information and service tree-shaped information;
a first generation unit configured to generate a resource business information set based on the public cloud resource tree information and the business tree information;
the receiving unit is configured to receive the target service information sent by the client;
a second generating unit configured to generate target public cloud resource information based on the target business information and the resource business information set;
a third generation unit configured to generate server capacity expansion information based on the historical configuration information and the target public cloud resource information.
8. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
9. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-6.
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