CN112328318B

CN112328318B - Method, device and storage medium for automatic planning of proprietary cloud platform

Info

Publication number: CN112328318B
Application number: CN202011034339.5A
Authority: CN
Inventors: 王钧锋
Original assignee: Beijing Teamsun Technology Co ltd
Current assignee: Beijing Teamsun Technology Co ltd
Priority date: 2020-09-27
Filing date: 2020-09-27
Publication date: 2024-05-14
Anticipated expiration: 2040-09-27
Also published as: CN112328318A

Abstract

The disclosure relates to the technical field of cloud computing, in particular to a method, a device and a storage medium for automatic planning of a proprietary cloud platform. The method is used in a computer device and comprises the following steps: acquiring infrastructure information of the data center, wherein the infrastructure information is used for indicating the current resource condition of the data center; and generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform. According to the cloud research and proprietary cloud platform planning method and device, cloud research and proprietary cloud platform planning are automatically conducted on the data center through computer equipment, the planning efficiency of the proprietary cloud platform is improved, and the construction effect of the follow-up proprietary cloud platform is guaranteed.

Description

Method, device and storage medium for automatic planning of proprietary cloud platform

Technical Field

The disclosure relates to the technical field of cloud computing, in particular to a method, a device and a storage medium for automatic planning of a proprietary cloud platform.

Background

With the rapid popularization of cloud computing technology, more and more users deploy service systems on cloud platforms, and the users need to build proprietary cloud platforms in localized data centers due to data ownership, privacy security and access performance.

At present, the construction of the proprietary cloud platform mainly depends on a manual mode, and the proprietary cloud platform is customized for each user through manual investigation and manual planning, so that the efficiency is low, and the problems of manual operation errors and the like can also occur. A reasonable and effective solution has not been provided in the related art.

Disclosure of Invention

In view of this, the disclosure provides a method, an apparatus and a storage medium for automatic planning of a proprietary cloud platform. The technical scheme comprises the following steps:

According to an aspect of the present disclosure, there is provided a method for proprietary cloud platform automatic planning, for use in a computer device, the method including:

Acquiring infrastructure information of a data center, wherein the infrastructure information is used for indicating the current resource condition of the data center;

And generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform.

In one possible implementation, the acquiring infrastructure information of the data center includes:

acquiring network topology information of the data center, wherein the network topology information is used for indicating network connection relations among a plurality of devices in the data center;

acquiring equipment configuration information of the data center, wherein the equipment configuration information comprises configuration information corresponding to each of the plurality of equipment;

acquiring application supporting environment configuration information of the data center according to the network topology information and the equipment configuration information, wherein the application supporting environment configuration information is used for indicating application deployment conditions on a host and running basic information corresponding to a plurality of applications;

And acquiring application system deployment information of the data center according to the network topology information, the equipment configuration information and the application supporting environment configuration information, wherein the application system deployment information is used for indicating the deployment environment and the resource configuration of the application system deployed in the data center.

In another possible implementation manner, the obtaining the device configuration information of the data center includes:

acquiring device basic information of the plurality of devices in the data center network;

And determining the equipment configuration information of the data center according to the equipment basic information and the network protocol of each of the plurality of equipment.

In another possible implementation manner, the obtaining the application system deployment information of the data center according to the network topology information, the device configuration information and the application support environment configuration information includes:

acquiring resource information corresponding to each of a plurality of application systems in the data center according to the network topology information, the equipment configuration information and the application supporting environment configuration information;

And generating an application system topological graph according to the resource information corresponding to each of the plurality of application systems, wherein the application system topological graph is used for indicating the connection relation among the plurality of application systems.

In another possible implementation, the infrastructure information of the data center includes: network topology information, equipment configuration information, application support environment configuration information and application system deployment information of the data center;

The network topology information is used for indicating network connection relations among a plurality of devices in the data center, the device configuration information comprises configuration information corresponding to each of the plurality of devices, the application supporting environment configuration information is used for indicating application deployment conditions and application running information corresponding to each of the plurality of devices, and the application system deployment information is used for indicating deployment environments and resource configurations of application systems deployed in the data center.

In another possible implementation, the target planning data further includes: first data and/or second data;

the first data is used for indicating the current resource condition of the data center, and the second data is used for indicating the resource use requirement of the proprietary cloud platform.

In another possible implementation manner, before generating the target planning data of the proprietary cloud platform according to the infrastructure information, the method further includes:

Acquiring self-defined resource demand information, wherein the resource demand information is used for indicating the resource use demand of a proprietary cloud platform corresponding to the data center;

the generating target planning data of the proprietary cloud platform according to the infrastructure information comprises the following steps:

and generating the target planning data of the proprietary cloud platform according to the infrastructure information and the resource demand information.

According to another aspect of the present disclosure, there is provided an apparatus for proprietary cloud platform automatic planning, for use in a computer device, the apparatus comprising:

The system comprises an acquisition module, a data center management module and a data center management module, wherein the acquisition module is used for acquiring infrastructure information of the data center, and the infrastructure information is used for indicating the current resource condition of the data center;

The generation module is used for generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data are used for indicating a planning framework and resource configuration of the proprietary cloud platform, and the target planning data are used for building the proprietary cloud platform.

According to another aspect of the present disclosure, there is provided a computer apparatus including: a processor; a memory for storing processor-executable instructions;

wherein the processor is configured to:

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.

According to the embodiment of the disclosure, by providing a method for automatically planning a proprietary cloud platform, infrastructure information of a data center is acquired through computer equipment, and the infrastructure information is used for indicating the current resource condition of the data center; generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform; the condition that the proprietary cloud platform is built in a manual mode in the related technology is avoided, so that the computer equipment can automatically perform cloud investigation and proprietary cloud platform planning on the data center, the planning efficiency of the proprietary cloud platform is improved, and the construction effect of the follow-up proprietary cloud platform is ensured.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 illustrates a schematic diagram of a computer device provided by an exemplary embodiment of the present disclosure;

FIG. 2 illustrates a flow chart of a method for proprietary cloud platform auto-programming provided by an exemplary embodiment of the present disclosure;

FIG. 3 illustrates a flow chart of a method for proprietary cloud platform auto-programming provided by another exemplary embodiment of the present disclosure;

fig. 4 illustrates a schematic structural diagram of an apparatus for proprietary cloud platform automatic planning provided in an exemplary embodiment of the present disclosure;

FIG. 5 is a block diagram of a terminal shown in accordance with an exemplary embodiment;

fig. 6 is a block diagram of a server, according to an example embodiment.

Detailed Description

Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.

In the present information age, data centers are commonly built in national institutions, enterprises and institutions. In terms of the utilization of informationized resources, cloud computing reveals advantages and is increasingly used, and units want to cloud their own data centers. But units face difficulties due to cloud complexity, high cost, implementation difficulties, etc. Particularly, in a small and medium-sized data center or a machine room, the budget is small, the cloud computing technology strength is lacked, and the cloud demand of the data center is prevented from being realized.

At present, the construction of the special cloud platform mainly depends on a manual mode, and the special cloud platform is customized for each unit in a measuring way through manual investigation and manual planning by using expert consultation to attach to the current situation of a user.

When the data center is researched, the equipment configuration table and the topological graph on the hand of the user are frequently updated, and the real condition of the data center cannot be reflected. In investigation and verification, technicians are required to check configuration conditions, resource availability, capacity use conditions and the like of equipment one by one, so that the manual operation efficiency is low, the equipment support degree is low, and errors are easy to occur. Technicians are also required to investigate the amount of use of resources by various application systems. And a technician is required to conduct manual planning according to the investigation result to obtain a planning scheme of the proprietary cloud platform. Therefore, the planning efficiency of the proprietary cloud platform in the related art is low, and the problems of manual operation errors and the like can also occur. A reasonable and effective solution has not been provided in the related art.

According to the method for automatically planning the proprietary cloud platform, the computer equipment is used for acquiring the infrastructure information of the data center and generating the target planning data of the proprietary cloud platform according to the infrastructure information, so that the computer equipment can automatically carry out cloud investigation and proprietary cloud platform planning on the data center, the planning efficiency of the proprietary cloud platform is improved, and the construction effect of the follow-up proprietary cloud platform is guaranteed.

First, an application scenario related to the present disclosure is described.

Referring to fig. 1, a schematic diagram of a computer device according to an exemplary embodiment of the disclosure is shown.

The computer device may be a terminal or a server. The server may be one server or a server cluster composed of several servers.

An investigation and planning system is operated in the computer equipment. The investigation and planning system is a system for carrying out clouding investigation and proprietary cloud platform planning on the data center. The investigation and planning system can be one system, and the investigation and planning system can also comprise two systems, wherein one system is an automatic discovery system for carrying out clouding investigation, and the other system is a planning system for carrying out proprietary cloud platform planning after clouding investigation. The embodiments of the present disclosure are not limited in this regard.

The computer equipment is used for executing the method for automatically planning the proprietary cloud platform provided by the embodiment of the disclosure through the investigation and planning system.

As shown in fig. 1, the computer device includes a processor 10, a memory 20, and a communication interface 30. Those skilled in the art will appreciate that the architecture shown in fig. 1 is not limiting of the computer device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. Wherein:

The processor 10 is a control center of the computer device, connects various parts of the entire computer device using various interfaces and lines, and performs various functions of the computer device and processes data by running or executing software programs and/or modules stored in the memory 20, and calling data stored in the memory 20, thereby controlling the computer device as a whole. The processor 10 may be implemented by a central processing unit (central processing unit, CPU) or by a graphics processor (Graphics Processing Unit, GPU).

The memory 20 may be used to store software programs and modules. The processor 10 executes various functional applications and data processing by running software programs and modules stored in the memory 20. The memory 20 may mainly include a memory program area that may store an operating system 21 and an investigation and planning system 22, and a memory data area that may also store application programs and the like required for other functions; the storage data area may store data created according to the use of the computer device, etc. The Memory 20 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic or optical disk. Accordingly, the memory 20 may also include a memory controller to provide access to the memory 20 by the processor 10.

Wherein the processor 20 performs the following functions by running the investigation and planning system 22: acquiring infrastructure information of the data center, wherein the infrastructure information is used for indicating the current resource condition of the data center; and generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform.

The information or data may take the form of a graph or chart, and the investigation and planning system supports a generic data format that provides services via a standard interface, e.g., at least one of the generic data formats comprises json, xml, yaml, the standard interface comprising a RESTful interface and/or a SOAP interface. The embodiments of the present disclosure are not limited in this regard.

In the following, a method for automatically planning a proprietary cloud platform provided by the embodiments of the present disclosure is described using several exemplary embodiments.

Referring to fig. 2, a flowchart of a method for proprietary cloud platform automatic planning provided in an exemplary embodiment of the present disclosure is shown, where the method is used in the computer device shown in fig. 1 for illustration. The method comprises the following steps.

In step 201, infrastructure information of a data center is obtained, where the infrastructure information is used to indicate a current resource situation of the data center.

The computer equipment acquires the infrastructure information of the data center through network connection and communication protocol modes.

Optionally, the data center is an enterprise-level data center. The data center includes a plurality of devices therein, the types of the plurality of devices including, but not limited to, routers, switches, firewalls, and hosts.

Optionally, the infrastructure information of the data center includes: network topology information, device configuration information, application support environment configuration information, and application system deployment information of the data center.

The infrastructure information of the data center may also include other information. For convenience of explanation, only infrastructure information of the data center includes: the network topology information, the device configuration information, the application support environment configuration information, and the application system deployment information of the data center are described as examples.

Step 202, generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform.

And the computer equipment performs proprietary cloud platform planning on the data center according to the infrastructure information, and generates target planning data of the proprietary cloud platform. And the computer equipment builds a proprietary cloud platform according to the generated target planning data. Namely, the proprietary cloud platform is a proprietary cloud platform built for a data center.

The target planning data are used for constructing a proprietary cloud platform.

The target planning data is used for indicating the planning architecture and resource configuration of the proprietary cloud platform. Optionally, the target planning data further comprises: first data and/or second data; the first data is used for indicating the current resource condition (which may include a network topology structure and an application system topology graph) of the data center, and the second data is used for indicating the resource use requirement of the proprietary cloud platform.

Optionally, after the computer device generates the target planning data of the proprietary cloud platform, the method further includes: and receiving and executing the modification operation of the target planning data to obtain final target planning data serving as a basis for constructing the proprietary cloud platform. By adopting the method, whether the planning is correct and reasonable can be manually verified, and the planning is modified when the planning is unreasonable, or old target planning data can be manually modified simply to meet new requirements, and automatic planning is not needed again, so that the adaptability is high.

I.e. manual additions or modifications may be supported for generating the resulting target planning data. On this basis, standardized import and export data may also be supported.

In summary, in the embodiment of the disclosure, the computer device obtains the infrastructure information of the data center, where the infrastructure information is used to indicate the current resource situation of the data center; generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform; the condition that the proprietary cloud platform is built in a manual mode in the related technology is avoided, so that the computer equipment can automatically perform cloud investigation and proprietary cloud platform planning on the data center, the planning efficiency of the proprietary cloud platform is improved, and the construction effect of the follow-up proprietary cloud platform is ensured.

Referring to fig. 3, a flowchart of a method for proprietary cloud platform automatic planning according to another exemplary embodiment of the present disclosure is shown, where the method is used in the computer device shown in fig. 1 for illustration. The method comprises the following steps.

Step 301, obtaining network topology information of a data center, where the network topology information is used to indicate a network connection relationship between a plurality of devices in the data center.

The computer device obtains network topology information of the data center. Wherein the network topology information is used to indicate network connection relationships between a plurality of devices in the data center. The network topology information is used to indicate all active devices in the data center, communication connection relationships between the devices, and link connectivity of the entire data center and the overall architecture of the data center.

Optionally, the network topology information includes a network topology map for indicating network connection relationships between the plurality of devices in the data center. The computer device obtains network topology information of the data center, including: the method comprises the steps that computer equipment obtains network connection relations among a plurality of pieces of equipment in a data center; and generating a network topology structure diagram according to the network connection relation among the plurality of devices.

Step 302, obtaining device configuration information of a data center, where the device configuration information includes configuration information corresponding to each of a plurality of devices.

Optionally, the computer device obtains device configuration information of the data center, including:

And determining the equipment configuration information of the data center according to the equipment basic information and the network protocol of each of the plurality of equipment. In particular, the network protocols include SNMP protocols and/or WMI protocols.

Optionally, acquiring device basic information corresponding to each of the plurality of devices includes: the method comprises the steps that communication between the computer equipment and a gateway router in a data center is established; acquiring a subnet list from a management information base (MANAGEMENT INFORMATION BASE, MIB) of a gateway router; and acquiring the device basic information corresponding to each of the plurality of devices in the data center according to the subnet list.

Illustratively, the computer device obtains network topology information of the data center based on a simple network management protocol (Simple Network Management Protocol, SNMP) in combination with at least one of Internet control message protocol (Internet Control Message Protocol, ICMP), address resolution protocol (Address Resolution Protocol, ARP), and route tracking (english: traceRoute). After the computer equipment establishes communication with a gateway router in a data center, a subnet list is obtained in the MIB of the router through an SNMP protocol. And obtaining all active devices in the subnet by the nodes in the subnet through a ping command or an ARP table of the ICMP protocol. The computer equipment acquires the equipment foundation information corresponding to each of the plurality of equipment through an SNMP protocol.

After the network discovers the equipment, the computer equipment uses a communication protocol to read the equipment basic information corresponding to each of the plurality of equipment. Optionally, the device base information corresponding to the device is used for indicating the attribute of the device, where the device base information includes at least one information of a device type, a MAC Address (english: MEDIA ACCESS Control Address), an ARP table, a switch port, a router interface, a routing table, a switch forwarding table, and an IP Address (english: internet Protocol Address). Wherein the device type is used to indicate whether the device is a host.

Optionally, the device type includes at least one of a router, a switch, a firewall, and a host.

Optionally, the computer device obtains a Cisco discovery protocol (Cisco DiscoveryProtocol, CDP) neighbor table of the switch, an interface index (english: ifIndex) and a port corresponding table of the port, a self-learning table, a MAC address forwarding table, an ARP table of the router, and searches other devices such as the switch, a host, and the like connected to the switch through an algorithm.

Optionally, the computer device supports a multi-tier network, discovers connection relationships between devices in the multi-tier network, and locates onto the device ports. Supporting full network discovery and subnet discovery may support manual addition of non-located links and devices. The device type of the device comprises at least one of a router, a switch, a firewall, a host, a terminal device, a storage device and a load balancing device.

The device configuration information of the data center includes configuration information of the host and configuration information corresponding to each of the other devices except the host. The configuration information corresponding to the device is used for indicating the internal configuration of the device.

The configuration information of the host comprises at least one of a CPU, a memory, a hard disk and a port, and the configuration information of the host also comprises at least one of resource usage amount, residual resources, operating system type, virtual machine information and container information of the host. The embodiments of the present disclosure are not limited in this regard.

Step 303, acquiring application supporting environment configuration information of the data center according to the network topology information and the device configuration information, wherein the application supporting environment configuration information is used for indicating application deployment conditions on a host and running basic information corresponding to each of a plurality of applications.

And the computer equipment acquires the application supporting environment configuration information of the data center according to the network topology information and the equipment configuration information.

The computer device determines application support environment configuration information of the data center based on at least one of the enabling service, the running process, the file directory, and the environment variables of the host, according to the network topology information and the device configuration information. The application supporting environment configuration information is used for indicating application deployment conditions on the host and running basic information corresponding to each of the plurality of applications.

Illustratively, the network topology information and the device configuration information are used for indicating the running environment of the tomcat server, and the application support environment configuration information is used for indicating the existence of tomcat processes in the process table.

Optionally, the application support environment configuration information is used to indicate application deployment and running basic information of an operating system, middleware, database, etc. on the host.

Step 304, according to the network topology information, the device configuration information and the application supporting environment configuration information, the application system deployment information of the data center is obtained, and the application system deployment information is used for indicating the deployment environment and the resource configuration of the deployed application system in the data center.

And the computer equipment acquires the application system deployment information of the data center according to the network topology information, the equipment configuration information and the application supporting environment configuration information.

The application system deployment information is used for indicating the deployment environment and resource configuration of the deployed application systems in the data center. The application system deployment information comprises at least one of a host name, hardware configuration, middleware, a database, storage capacity, network bandwidth, an IP address and an application cluster.

Optionally, the computer equipment acquires resource information corresponding to each of a plurality of application systems in the data center according to the network topology information, the equipment configuration information and the application supporting environment configuration information; and generating an application system topological graph according to the resource information corresponding to each of the plurality of application systems, wherein the application system topological graph is used for indicating the connection relation between the application system and various resources (including middleware, a database and hardware resources).

Optionally, the application system topology map is further used to indicate a connection relationship between the plurality of application systems.

Step 305, obtaining the resource requirement information set by user definition, where the resource requirement information is used to indicate the resource usage requirement of the proprietary cloud platform corresponding to the data center. The computer device obtains input resource demand information, which is set by user definition, that is, the input resource demand information represents user demand.

The resource demand information is used for indicating the resource use demand of the proprietary cloud platform corresponding to the data center. Optionally, the resource requirement information is used to indicate at least one requirement of resource virtualization, virtual environment configuration, virtual machine modification, network link adjustment, load balancing, security protection, operation and maintenance monitoring, and hybrid cloud management.

In the cloud construction of the data center, a user is supported to add a new application system according to the service development requirement, namely, the resource demand information is required to meet the new application system on the basis of the original application system, so that the calculation, storage and network resources distributed according to the deployment requirement of the new application system can be realized.

It should be noted that, steps 301 to 304 are a plurality of steps for obtaining the infrastructure information, and step 305 is a step for obtaining the resource requirement information set by user, that is, step 305 may be performed concurrently with steps 301 to 304, or may be performed before or after steps 301 to 304, which is not limited in the embodiment of the present disclosure.

And step 306, generating target planning data of the proprietary cloud platform according to the infrastructure information and the resource demand information.

The computer equipment generates target planning data of the proprietary cloud platform according to the infrastructure information and the resource demand information, and the target planning data comprises the following steps: and the computer equipment matches the infrastructure information with the resource demand information to obtain a matching comparison result, and generates target planning data of the proprietary cloud platform according to the matching comparison result.

Optionally, the infrastructure information includes network topology information, device configuration information, application supporting environment configuration information and application system deployment information of the data center, and the computer device matches the network topology information, the device configuration information, the application supporting environment configuration information and the application system deployment information of the data center with the resource requirement information set by user definition respectively to obtain a matching comparison result.

The target planning data are used for indicating the planning architecture and resource configuration of the proprietary cloud platform. Optionally, the resource configuration comprises a computing resource configuration, a storage resource configuration, a network resource configuration.

Optionally, the infrastructure information is used for indicating that the current number of the target resources of the data center is a first value, the resource demand information is used for indicating that the number of the target resources which are set in a self-defining way is a second value, the computer equipment matches the infrastructure information with the resource demand information, and if the matching comparison result is used for indicating that the first value is smaller than the second value, the target planning data is determined to comprise first configuration information, wherein the first configuration information is used for indicating that the number of the target resources is increased and the increased number is a third value; and if the matching comparison result is used for indicating that the first numerical value is larger than the second numerical value, determining that the target planning data comprises second configuration information, wherein the first configuration information is used for indicating that the number of target resources is reduced and the reduced number is a third numerical value. The third value is the absolute value of the difference between the first value and the second value.

In an illustrative example, the infrastructure information is used to indicate that 200 virtual processors are included in the data center, the resource requirement information is used to indicate 500 virtual processors, and the target planning data is obtained according to the matching comparison result of the infrastructure information and the resource requirement information, where the target planning data is used to indicate that 300 virtual processors are added.

Optionally, the target planning data further comprises: first data and/or second data; the first data is used for indicating the current resource condition of the data center, and the second data is used for indicating the resource requirement information. The embodiments of the present disclosure are not limited in this regard.

And the computer equipment builds a proprietary cloud platform according to the generated target planning data. It should be noted that, the relevant details may refer to the relevant descriptions in the above embodiments, and are not repeated here.

In summary, in the embodiment of the disclosure, the target planning data of the proprietary cloud platform is generated according to the infrastructure information and the resource demand information through the computer device; because the target planning data of the proprietary cloud platform is determined based on the common infrastructure information and the self-defined resource demand information, the generated target planning data meets the self-defined demand of a user, and the follow-up business demand is considered while the cloud in the center of the traditional data is ensured, so that the practicability and the applicability of the proprietary cloud planning method are improved.

The following are device embodiments of the disclosed embodiments, and for parts of the device embodiments that are not described in detail, reference may be made to the technical details disclosed in the method embodiments described above.

Referring to fig. 4, a schematic structural diagram of an apparatus for proprietary cloud platform automatic planning according to an exemplary embodiment of the present disclosure is shown. The device for automatically planning the proprietary cloud platform can be realized into all or part of computer equipment through software, hardware and a combination of the software and the hardware. The device comprises: an acquisition module 410 and a generation module 420.

An acquisition module 410, configured to acquire infrastructure information of the data center, where the infrastructure information is used to indicate a current resource situation of the data center;

the generating module 420 is configured to generate target planning data of the proprietary cloud platform according to the infrastructure information, where the target planning data is used to indicate a planning architecture and resource configuration of the proprietary cloud platform, and the target planning data is used to construct the proprietary cloud platform.

In one possible implementation, the obtaining module 410 is further configured to:

Acquiring network topology information of a data center, wherein the network topology information is used for indicating network connection relations among a plurality of devices in the data center;

acquiring equipment configuration information of a data center, wherein the equipment configuration information comprises configuration information corresponding to each of a plurality of equipment;

Acquiring application supporting environment configuration information of a data center according to network topology information and equipment configuration information, wherein the application supporting environment configuration information is used for indicating application deployment conditions on a host and running basic information corresponding to a plurality of applications;

according to the network topology information, the equipment configuration information and the application supporting environment configuration information, application system deployment information of the data center is obtained, and the application system deployment information is used for indicating the deployment environment and the resource configuration of the application system deployed in the data center.

In another possible implementation, the obtaining module 410 is further configured to:

acquiring a network connection relation among a plurality of devices in a data center;

generating a network topology structure diagram according to the network connection relation among the plurality of devices, wherein the network topology structure diagram is used for indicating the plurality of devices and the network connection relation among the plurality of devices in the data center.

Establishing communication with a gateway router in a data center;

Acquiring a subnet list from a management information base of a gateway router;

And acquiring the device basic information corresponding to each of the plurality of devices in the data center according to the subnet list.

Acquiring resource information corresponding to each of a plurality of application systems in a data center according to network topology information, equipment configuration information and application supporting environment configuration information;

and generating an application system topological graph according to the resource information corresponding to each of the plurality of application systems, wherein the application system topological graph is used for indicating the connection relation between the application system and various resources.

In another possible implementation, the infrastructure information of the data center includes: network topology information, equipment configuration information, application support environment configuration information and application system deployment information of a data center;

In another possible implementation form of the present invention,

The obtaining module 410 is further configured to obtain resource requirement information set by user, where the resource requirement information is used to indicate a resource usage requirement of a proprietary cloud platform corresponding to the data center;

The generating module 420 is further configured to generate target planning data of the proprietary cloud platform according to the infrastructure information and the resource requirement information.

In another possible implementation, the resource requirement information is used to indicate at least one requirement of resource virtualization, virtual environment configuration, virtual machine modification, network link adjustment, load balancing, security protection, operation and maintenance monitoring, and hybrid cloud management.

The first data is used for indicating the current resource condition of the data center, and the second data is used for indicating the information of the resource requirement.

It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be implemented by different functional modules according to actual needs, that is, the content structure of the device is divided into different functional modules, so as to implement all or part of the functions described above.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

The embodiment of the disclosure also provides a computer device, which comprises: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: the steps performed by the computer device in the various method embodiments described above are implemented.

The computer equipment is a terminal or a server.

The disclosed embodiments also provide a non-transitory computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the methods of the various method embodiments described above.

Fig. 5 is a block diagram of a terminal 500, according to an example embodiment. Terminal 500 may include one or more of the following components: a processing component 502, a memory 504, a power supply component 506, a multimedia component 508, an audio component 510, an input/output (I/O) interface 512, a sensor component 514, and a communication component 516.

The processing component 502 generally controls overall operation of the terminal 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interactions between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.

The memory 504 is configured to store various types of data to support operations at the terminal 500. Examples of such data include instructions for any application or method operating on the terminal 500, contact data, phonebook data, messages, pictures, videos, and the like. The memory 504 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 506 provides power to the various components of the terminal 500. The power components 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal 500.

The multimedia component 508 includes a screen between the terminal 500 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front-facing camera and/or a rear-facing camera. The front camera and/or the rear camera may receive external multimedia data when the terminal 500 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 510 is configured to output and/or input audio signals. For example, the audio component 510 includes a Microphone (MIC) configured to receive external audio signals when the terminal 500 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 504 or transmitted via the communication component 516. In some embodiments, the audio component 510 further comprises a speaker for outputting audio signals.

The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 514 includes one or more sensors for providing status assessment of various aspects of the terminal 500. For example, the sensor assembly 514 may detect the on/off state of the terminal 500, the relative positioning of the components, such as the display and keypad of the terminal 500, the sensor assembly 514 may also detect a change in position of the terminal 500 or a component of the terminal 500, the presence or absence of user contact with the terminal 500, the orientation or acceleration/deceleration of the terminal 500, and a change in temperature of the terminal 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 516 is configured to facilitate communication between the terminal 500 and other devices, either wired or wireless. The terminal 500 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the terminal 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 504 including computer program instructions executable by processor 520 of terminal 500 to perform the above-described method.

Fig. 6 is a block diagram illustrating a server 600 according to an example embodiment. The server 600 includes a processing component 622 that further includes one or more processors and memory resources represented by a memory 632 for storing instructions, such as application programs, that can be executed by the processing component 622. The application programs stored in memory 632 may include one or more modules each corresponding to a set of instructions. Further, the processing component 622 is configured to execute instructions to perform the methods described above.

The server 600 may also include a power component 626 configured to perform power management of the server 600, a wired or wireless network interface 650 configured to connect the server 600 to a network, and an input output (I/O) interface 658. The server 600 may operate based on an operating system stored in memory 632, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 632 that includes computer program instructions executable by processing component 622 of server 600 to perform the above-described methods.

The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.

The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as SMALLTALK, C ++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowcharts 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 instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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 foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvements in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. The method is characterized by being used in computer equipment, wherein an investigation and planning system is operated in the computer equipment, and the investigation and planning system is used for carrying out clouding investigation and planning on a data center, and the method comprises the following steps:

Acquiring infrastructure information of the data center, wherein the infrastructure information is used for indicating the current resource condition of the data center;

Generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform;

The obtaining infrastructure information of the data center includes:

2. The method of claim 1, wherein the obtaining device configuration information for the data center comprises:

3. The method of claim 1, wherein the obtaining application system deployment information for the data center based on the network topology information, the device configuration information, and the application support environment configuration information comprises:

4. The method of claim 1, wherein the step of determining the position of the substrate comprises,

The infrastructure information of the data center includes: network topology information, equipment configuration information, application support environment configuration information and application system deployment information of the data center;

5. The method of claim 1, wherein prior to generating the target planning data for the proprietary cloud platform based on the infrastructure information, further comprising:

6. The method of claim 5, wherein the target planning data further comprises: at least one of the first data and the second data; the first data is used for indicating the current resource condition of the data center; the second data is used to indicate the resource requirement information.

7. The method of claim 1, further comprising the step of:

And receiving and executing the modification operation of the target planning data to obtain final target planning data.

8. The utility model provides a proprietary cloud platform automatic planning's device, its characterized in that is arranged in computer equipment, the operation has investigation and planning system in the computer equipment, investigation and planning system is the system that is used for carrying out cloudization investigation and proprietary cloud platform planning to data center, the device includes:

the acquisition module is used for acquiring infrastructure information of the data center, wherein the infrastructure information is used for indicating the current resource condition of the data center;

The generation module is used for generating target planning data of the proprietary cloud platform according to the infrastructure information, wherein the target planning data is used for indicating a planning framework and resource configuration of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform;

the acquisition module is further configured to:

9. A computer device, wherein an investigation and planning system is operated in the computer device, the investigation and planning system is a system for clouding investigation and proprietary cloud platform planning for a data center, the computer device comprises: a processor; a memory for storing processor-executable instructions;

wherein the processor is configured to:

The obtaining infrastructure information of the data center includes:

10. A non-transitory computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the method of any of claims 1 to 7.