CN112328318A - Method and device for automatic planning of proprietary cloud platform and storage medium - Google Patents
Method and device for automatic planning of proprietary cloud platform and storage medium Download PDFInfo
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Abstract
The present disclosure relates to the field of cloud computing technologies, and in particular, to a method and an apparatus for automatic planning of a proprietary cloud platform, and a storage medium. 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 architecture and resource allocation of the proprietary cloud platform, and the target planning data is used for constructing the proprietary cloud platform. According to the cloud research and the special cloud platform planning of the data center, the computer equipment is used for automatically conducting cloud research and special cloud platform planning on the data center, the planning efficiency of the special cloud platform is improved, and the construction effect of the follow-up special cloud platform is guaranteed.
Description
Technical Field
The present disclosure relates to the field of cloud computing technologies, and in particular, to a method and an apparatus for automatic planning of a proprietary cloud platform, and a storage medium.
Background
With the rapid popularization of cloud computing technology, more and more users deploy service systems on cloud platforms, and due to the considerations of data ownership, privacy security and access performance, users need to build a proprietary cloud platform in a localized data center.
At present, the construction of the proprietary cloud platform mainly depends on a manual mode, the proprietary cloud platform is customized for each user through manual research and manual planning, 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 present 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 automatic planning of a proprietary cloud platform, 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 architecture and resource configuration of the proprietary cloud platform, and the target planning data is used for constructing 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 a network connection relationship 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 the plurality of equipment;
acquiring application support environment configuration information of the data center according to the network topology information and the equipment configuration information, wherein the application support environment configuration information is used for indicating application deployment conditions on a host and operation basic information corresponding to a plurality of applications;
acquiring 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, wherein the application system deployment information is used for indicating deployment environment and resource configuration of deployed application systems in the data center.
In another possible implementation manner, the acquiring the device configuration information of the data center includes:
acquiring device basis information of the plurality of devices in the data center network;
and determining the equipment configuration information of the data center according to the respective equipment basic information and network protocol of the plurality of equipment.
In another possible implementation manner, the obtaining, according to the network topology information, the device configuration information, and the application support environment configuration information, application system deployment information of the data center includes:
acquiring resource information corresponding to a plurality of application systems in the data center according to the network topology information, the equipment configuration information and the application support environment configuration information;
and generating an application system topological graph according to the resource information corresponding to the application systems, wherein the application system topological graph is used for indicating the connection relationship among the 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 a network connection relationship among a plurality of devices in the data center, the device configuration information includes configuration information corresponding to each of the plurality of devices, the application support environment configuration information is used for indicating an application deployment situation and application running information corresponding to each of the plurality of devices, and the application system deployment information is used for indicating a deployment environment and resource configuration of an application system deployed in the data center.
In another possible implementation, the target planning data further includes: first data and/or second data;
the first data are used for indicating the current resource condition of the data center, and the second data are 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 set 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;
generating target planning data of the proprietary cloud platform according to the infrastructure information includes:
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 automatic planning of a proprietary cloud platform, for use in a computer device, the apparatus including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring infrastructure information of a data center, and the infrastructure information is used for indicating the current resource condition of the data center;
the generating module is used for generating target planning data of the proprietary cloud platform according to the infrastructure information, the target planning data is used for indicating a planning architecture and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform.
According to another aspect of the present disclosure, there is provided a computer device including: a processor; a memory for storing processor-executable instructions;
wherein the processor is configured to:
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 architecture and resource configuration of the proprietary cloud platform, and the target planning data is used for constructing the proprietary cloud platform.
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.
The embodiment of the disclosure provides a method for automatic planning of a proprietary cloud platform, wherein 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 are used for indicating a planning architecture and resource allocation of the proprietary cloud platform, and the target planning data are used for building the proprietary cloud platform; the condition that the proprietary cloud platform is built mainly by means of manual work in the related technology is avoided, so that the computer equipment can automatically conduct 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 subsequent proprietary cloud platform is guaranteed.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
FIG. 1 shows a schematic structural 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-planning provided by an exemplary embodiment of the present disclosure;
fig. 3 shows a flowchart of a method for proprietary cloud platform auto-planning provided by another exemplary embodiment of the present disclosure;
fig. 4 is a schematic structural diagram illustrating an apparatus for automatic planning of a proprietary cloud platform according to an exemplary embodiment of the present disclosure;
FIG. 5 is a block diagram illustrating a terminal in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating a server in accordance with an example embodiment.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively 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.
Furthermore, in the following detailed description, numerous specific details are set forth 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 that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
In the current information age, data centers are generally built in state organs, enterprises and public institutions. In the aspect of utilization of information resources, cloud computing shows advantages and is increasingly applied, and a unit wants to cloud own data center. But because of the complexity of the cloud, high cost, difficulty of implementation, etc., the unit faces a number of difficulties. Particularly, in a small-medium-scale data center or a machine room, the budget is low, the cloud computing technical force is lacked, and the realization of the cloud requirement of the data center is hindered.
At present, the construction of the proprietary cloud platform mainly depends on a manual mode, and the proprietary cloud platform is customized for each unit by consulting the expert to fit the current situation of the user through manual research and manual planning.
When the data center is investigated, the device configuration table and the topological graph on the hand of a user are not updated frequently, and the real condition of the data center cannot be reflected. In the investigation and verification, technicians are required to check the configuration condition, the resource availability, the capacity use condition and the like of the equipment one by one, the manual operation efficiency is low, the equipment support degree is not high, and errors are easy to occur. Technicians are also required to investigate the amount of resources used by various application systems. And technical personnel are required to perform 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 problems such as manual operation errors may 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 conduct 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 subsequent proprietary cloud platform is guaranteed.
First, an application scenario to which the present disclosure relates will be described.
Referring to fig. 1, a schematic structural diagram of a computer device according to an exemplary embodiment of the present disclosure is shown.
The computer device may be a terminal or a server. The server may be one server or a server cluster consisting of several servers.
The computer equipment is operated with a research and planning system. The research and planning system is a system for cloud research and proprietary cloud platform planning for a 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 performing cloud investigation, and the other system is a planning system for performing proprietary cloud platform planning after the cloud investigation. The embodiments of the present disclosure do not limit this.
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 research 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 configuration shown in FIG. 1 is not intended to be limiting of the computer device and may include more or fewer components than those shown, or some components may be combined, 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 operating or executing software programs and/or modules stored in the memory 20 and calling data stored in the memory 20, thereby performing overall control of the computer device. The processor 10 may be implemented by a Central Processing Unit (CPU) or a 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 executing software programs and modules stored in the memory 20. The memory 20 may mainly include a program storage area and a data storage area, wherein the program storage area may store the operating system 21 and the research and planning system 22, and the program storage area may also store application programs and the like required for other functions; the storage data area may store data created according to use of the computer device, and the like. The Memory 20 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, 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 disk or optical disk. Accordingly, the memory 20 may also include a memory controller to provide the processor 10 access to the memory 20.
Wherein processor 20 performs the following functions by operating research 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 architecture and resource allocation of the proprietary cloud platform, and the target planning data is used for constructing the proprietary cloud platform.
The information or data may be in the form of a graph or diagram, and the research and planning system supports a generic data format that provides services via a standard interface, for example, the generic data format includes at least one of json, xml, and yaml, and the standard interface includes a RESTful interface and/or a SOAP interface. The embodiments of the present disclosure do not limit this.
In the following, several exemplary embodiments are adopted to describe the method for automatic planning of the proprietary cloud platform provided by the embodiments of the present disclosure.
Referring to fig. 2, a flowchart of a method for automatic planning of a proprietary cloud platform according to an exemplary embodiment of the present disclosure is shown, where the method is used in the computer device shown in fig. 1 for example. The method comprises the following steps.
Step 201, acquiring infrastructure information of the data center, wherein the infrastructure information is used for indicating the current resource condition of the data center.
The computer equipment acquires the infrastructure information of the data center in a network connection and communication protocol mode.
Optionally, the data center is an enterprise-level data center. The data center includes a plurality of devices, of the type 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 network topology information is used for indicating a network connection relationship among a plurality of devices in the data center, the device configuration information includes configuration information corresponding to each of the plurality of devices, the application support environment configuration information is used for indicating an application deployment situation and application running information corresponding to each of the plurality of devices, and the application system deployment information is used for indicating a deployment environment and resource configuration of an application system deployed in the data center.
The infrastructure information of the data center may also include other information. For convenience of explanation, the following includes only infrastructure information of the data center: network topology information, device configuration information, application support environment configuration information and application system deployment information of the data center are introduced 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 architecture 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 carries out proprietary cloud platform planning on the data center according to the infrastructure information to generate 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 the data center.
Wherein the target planning data is used for constructing a proprietary cloud platform.
The target planning data is used to indicate 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 situation (which may include a network topology and an application system topological 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 which is used as a basis for building a proprietary cloud platform. By adopting the method, whether the planning is correct and reasonable can be manually verified, and the planning can be modified when the planning is unreasonable, or old target planning data can be manually and simply modified to meet new requirements without automatic planning again, so that the adaptability is strong.
I.e., manual addition or modification may be supported for the generated target planning data. On the basis of the method, standardized import and export data can be supported.
To sum up, in the embodiment of the present disclosure, infrastructure information of a data center is obtained through a computer device, where the infrastructure information is used to indicate a 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 are used for indicating a planning architecture and resource allocation of the proprietary cloud platform, and the target planning data are used for building the proprietary cloud platform; the condition that the proprietary cloud platform is built mainly by means of manual work in the related technology is avoided, so that the computer equipment can automatically conduct 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 subsequent proprietary cloud platform is guaranteed.
Referring to fig. 3, a flowchart of a method for automatic planning of a proprietary cloud platform 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 example. The method comprises the following steps.
The computer equipment acquires network topology 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 network topology information is used for indicating all active devices in the data center, communication connection relations among the devices, link connectivity of the whole data center and the whole architecture of the data center.
Optionally, the network topology information includes a network topology structure diagram, and the network topology structure diagram is used for indicating a network connection relationship among a plurality of devices in the data center. The computer equipment acquires network topology information of the data center, and the method comprises the following steps: 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 relationship among the plurality of devices.
Optionally, the obtaining, by the computer device, device configuration information of the data center includes:
acquiring device basis information of the plurality of devices in the data center network;
and determining the equipment configuration information of the data center according to the respective equipment basic information and network protocol of the plurality of equipment. In particular, the network protocol comprises the SNMP protocol and/or the WMI protocol.
Optionally, the obtaining device basis information corresponding to each of the multiple devices includes: the computer equipment establishes communication with a gateway router in the data center; acquiring a subnet list from a Management Information Base (MIB) of a gateway router; and acquiring the device basic information corresponding to the 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 (SNMP) in combination with at least one of Internet Control Message Protocol (ICMP), Address Resolution Protocol (ARP), and route tracking (english). After the computer equipment establishes communication with a gateway router in a data center, a subnet list is acquired in an MIB of the router through an SNMP protocol. And for the nodes in the subnet, acquiring all active devices in the subnet through a ping command or an ARP table of an ICMP protocol. The computer equipment acquires the equipment basic information corresponding to the plurality of equipment through an SNMP protocol.
After the network discovers the devices, the computer device reads device basic information corresponding to each of the plurality of devices by using a communication protocol. Optionally, the device infrastructure information corresponding to the device is used to indicate an attribute of the device, and the device infrastructure information includes at least one of a device type, a Media Access Control Address (MAC Address), an ARP table, a switch port, a router interface, a routing table, a switch forwarding table, and an IP Address of the device. Wherein the device type is used to indicate whether the device is a host.
Optionally, the device type comprises at least one of a router, a switch, a firewall, and a host.
Optionally, the computer device obtains a Cisco Discovery Protocol (CDP) neighbor table of the switch, an interface index (english: ifIndex) and port correspondence table of the port, a self-learning table, a MAC address forwarding table, and an ARP table of the router, and searches for other switches, hosts, and other devices connected to the switch through an algorithm.
Optionally, the computer device supports a multi-layer network, discovers connection relationships between devices in the multi-layer network, and locates the connection relationships to device ports. Full network discovery and subnet discovery are supported, and manual addition of links and devices without positioning can be supported. 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 equipment configuration information of the data center comprises configuration information of the host and configuration information corresponding to other equipment 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 computer comprises at least one of a CPU, a memory, a hard disk and a port, and the configuration information of the host computer also comprises at least one of resource usage amount, residual resources, operating system types, virtual machine information and container information of the host computer. The embodiments of the present disclosure do not limit this.
And the computer equipment acquires the application support 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 according to the network topology information and the device configuration information based on at least one data of the enabling service, the running process, the file directory and the environment variable of the host. The application support environment configuration information is used for indicating the application deployment condition on the host and the running basic information corresponding to the plurality of applications.
Illustratively, the network topology information and the device configuration information are used to indicate an operating environment of the tomcat server, and the application support environment configuration information is used to indicate that a tomcat process exists 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, a database, and the like on the host computer.
And the computer equipment acquires the deployment information of the application system of the data center according to the network topology information, the equipment configuration information and the application support environment configuration information.
The application system deployment information is used for indicating deployment environments and resource configurations of deployed application systems in the data center. The application system deployment information comprises at least one of host name, hardware configuration, middleware, a database, storage capacity, network bandwidth, IP address and application cluster.
Optionally, the computer device obtains resource information corresponding to each of the plurality of application systems in the data center according to the network topology information, the device configuration information, and the application support environment configuration information; and generating an application system topological graph according to the resource information corresponding to the application systems, wherein the application system topological graph is used for indicating the connection relation between the application systems and various resources (including middleware, a database and hardware resources).
Optionally, the application system topology map is also used for indicating a connection relationship between a plurality of application systems.
And 305, 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 computer equipment acquires the input resource demand information, wherein the resource demand information is set by self-definition, namely the input resource demand information represents the user demand.
The resource demand information is used for indicating the resource use demand of a 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 data center cloud construction, a user is supported to add a new application system according to business development requirements, namely, resource demand information should meet the new application system on the basis of an original application system, so that computing, storage and network resources are distributed according to the deployment requirements of the new application system in the following process.
It should be noted that, steps 301 to 304 are a plurality of steps for acquiring infrastructure information, and step 305 is a step for acquiring custom-set resource requirement information, that is, step 305 may be executed concurrently with steps 301 to 304, or may be executed 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 a proprietary cloud platform according to the infrastructure information and the resource demand information, and the method 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 support 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 support environment configuration information, and the application system deployment information of the data center with the resource requirement information set by the user, respectively, to obtain a matching comparison result.
Wherein the target planning data is indicative of a planning architecture and resource configuration of the proprietary cloud platform. Optionally, the resource configuration includes a computing resource configuration, a storage resource configuration, and a network resource configuration.
Optionally, the infrastructure information is used to indicate that the current amount of the target resource of the data center is a first value, the resource demand information is used to indicate that the amount of the target resource set by the user is a second value, the computer device matches the infrastructure information with the resource demand information, and if the matching comparison result is used to indicate that the first value is smaller than the second value, it is determined that the target planning data includes first configuration information, the first configuration information is used to indicate that the amount of the target resource is increased and the increased amount is a third value; and if the matching comparison result is used for indicating that the first value is larger than the second value, determining that the target planning data comprises second configuration information, wherein the first configuration information is used for indicating that the quantity of the target resources is reduced and the reduction quantity is a third value. Wherein 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 a matching comparison result of the infrastructure information and the resource requirement information, and 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 are used for indicating the current resource condition of the data center, and the second data are used for indicating resource demand information. The embodiments of the present disclosure do not limit this.
And the computer equipment builds a proprietary cloud platform according to the generated target planning data. It should be noted that, the relevant details can refer to the relevant description in the above embodiments, and are not repeated herein.
To sum up, the embodiment of the present disclosure further generates, by the computer device, target planning data of the proprietary cloud platform according to the infrastructure information and the resource demand information; the target planning data of the proprietary cloud platform is determined based on the infrastructure information and the resource demand information set by user definition, so that the generated target planning data meets the user-defined demand of a user, the follow-up business demand is considered while the traditional data center is ensured to be on the cloud, and the practicability and the applicability of the proprietary cloud planning method are improved.
The following are embodiments of the apparatus of the embodiments of the present disclosure, and for portions of the embodiments of the apparatus not described in detail, reference may be made to technical details disclosed in the above-mentioned method embodiments.
Referring to fig. 4, a schematic structural diagram of an apparatus for automatic planning of a proprietary cloud platform according to an exemplary embodiment of the present disclosure is shown. The device for the automatic planning of the proprietary cloud platform can be realized by software, hardware and a combination of the software and the hardware to form all or part of computer equipment. The device includes: an acquisition module 410 and a generation module 420.
An obtaining module 410, configured to obtain infrastructure information of the data center, where the infrastructure information is used to indicate a current resource condition 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 a possible implementation manner, the obtaining module 410 is further configured to:
the method comprises the steps of obtaining 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 a plurality of pieces of equipment;
acquiring application support environment configuration information of the data center according to the network topology information and the equipment configuration information, wherein the application support environment configuration information is used for indicating application deployment conditions on the host and operation 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 support environment configuration information, wherein the application system deployment information is used for indicating the deployment environment and resource configuration of the deployed application system in the data center.
In another possible implementation manner, the obtaining module 410 is further configured to:
acquiring a network connection relation among a plurality of devices in a data center;
and generating a network topology structure diagram according to the network connection relationship among the plurality of devices, wherein the network topology structure diagram is used for indicating the plurality of devices in the data center and the network connection relationship among the plurality of devices.
In another possible implementation manner, the obtaining module 410 is further configured to:
acquiring device basis information of the plurality of devices in the data center network;
and determining the equipment configuration information of the data center according to the respective equipment basic information and network protocol of the plurality of equipment.
In another possible implementation manner, the obtaining module 410 is further configured to:
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 the devices in the data center according to the subnet list.
In another possible implementation manner, the obtaining module 410 is further configured to:
acquiring resource information corresponding to a plurality of application systems in a data center according to the network topology information, the equipment configuration information and the application support environment configuration information;
and generating an application system topological graph according to the resource information corresponding to the application systems, wherein the application system topological graph is used for indicating the connection relationship between the application systems 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 the data center;
the network topology information is used for indicating a network connection relationship among a plurality of devices in the data center, the device configuration information includes configuration information corresponding to each of the plurality of devices, the application support environment configuration information is used for indicating an application deployment situation and application running information corresponding to each of the plurality of devices, and the application system deployment information is used for indicating a deployment environment and resource configuration of an application system deployed in the data center.
In another possible implementation form of the method,
the obtaining module 410 is further configured to obtain resource demand information set by a user, where the resource demand information is used to indicate a resource usage demand for 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 demand information.
In another possible implementation manner, 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 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 demand information.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the above functional modules is illustrated, and in practical applications, the above functions may be distributed 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 complete all or part of the functions described above.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An embodiment of the present disclosure further provides a computer device, where the computer device includes: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: the steps executed by the computer device in the method embodiments are realized.
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 in the various method embodiments described above.
Fig. 5 is a block diagram illustrating a terminal 500 according to an example embodiment. Terminal 500 may include one or more of the following components: processing component 502, memory 504, power component 506, multimedia component 508, audio component 510, input/output (I/O) interface 512, sensor component 514, and 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 components 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction 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 terminal 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile 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 disks.
The power components 506 provide 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 providing an output interface between the terminal 500 and the user. 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 an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect 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 a focal length and optical zoom capability.
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 operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes 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: a home button, a volume button, a start button, and a lock button.
The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the terminal 500. For example, sensor assembly 514 can detect an open/closed state of terminal 500, relative positioning of components, such as a display and keypad of terminal 500, position changes of terminal 500 or a component of terminal 500, presence or absence of user contact with terminal 500, orientation or acceleration/deceleration of terminal 500, and temperature changes of terminal 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object 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 gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 516 is configured to facilitate communications between the terminal 500 and other devices in a wired or wireless manner. The terminal 500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal 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, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 504, is also provided that includes computer program instructions executable by the processor 520 of the terminal 500 to perform the above-described methods.
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 memory 632, for storing instructions, such as application programs, that are executable by the processing component 622. The application programs stored in memory 632 may include one or more modules that each correspond to a set of instructions. Further, the processing component 622 is configured to execute instructions to perform the above-described methods.
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, such as the memory 632, is also provided that includes computer program instructions executable by the processing component 622 of the server 600 to perform the methods described above.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory 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: 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), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical 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 via 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 transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter 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 carrying out operations of the present disclosure may be assembler 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 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). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
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 storing the instructions comprises 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 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 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.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (11)
1. A method for automatic planning of a proprietary cloud platform, which is used in a computer device, the method comprising:
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 architecture and resource configuration of the proprietary cloud platform, and the target planning data is used for constructing the proprietary cloud platform.
2. The method of claim 1, wherein the obtaining infrastructure information of a data center comprises:
acquiring network topology information of the data center, wherein the network topology information is used for indicating a network connection relationship 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 the plurality of equipment;
acquiring application support environment configuration information of the data center according to the network topology information and the equipment configuration information, wherein the application support environment configuration information is used for indicating application deployment conditions on a host and operation basic information corresponding to a plurality of applications;
acquiring 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, wherein the application system deployment information is used for indicating deployment environment and resource configuration of deployed application systems in the data center.
3. The method of claim 2, wherein the obtaining equipment configuration information of the data center comprises:
acquiring device basis information of the plurality of devices in the data center network;
and determining the equipment configuration information of the data center according to the respective equipment basic information and network protocol of the plurality of equipment.
4. The method according to claim 2, wherein the obtaining 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 a plurality of application systems in the data center according to the network topology information, the equipment configuration information and the application support environment configuration information;
and generating an application system topological graph according to the resource information corresponding to the application systems, wherein the application system topological graph is used for indicating the connection relationship between the application systems and various resources.
5. The method of claim 1,
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 a network connection relationship among a plurality of devices in the data center, the device configuration information includes configuration information corresponding to each of the plurality of devices, the application support environment configuration information is used for indicating an application deployment situation and application running information corresponding to each of the plurality of devices, and the application system deployment information is used for indicating a deployment environment and resource configuration of an application system deployed in the data center.
6. 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:
acquiring self-defined set 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;
generating target planning data of the proprietary cloud platform according to the infrastructure information includes:
and generating the target planning data of the proprietary cloud platform according to the infrastructure information and the resource demand information.
7. The method of claim 6, 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 demand information.
8. The method of claim 1, further comprising the steps of:
and receiving and executing the modification operation of the target planning data to obtain final target planning data.
9. An apparatus for proprietary cloud platform auto-programming, for use in a computer device, the apparatus comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring infrastructure information of a data center, and the infrastructure information is used for indicating the current resource condition of the data center;
the generating module is used for generating target planning data of the proprietary cloud platform according to the infrastructure information, the target planning data is used for indicating a planning architecture and resource allocation of the proprietary cloud platform, and the target planning data is used for building the proprietary cloud platform.
10. A computer device, characterized in that the computer device comprises: a processor; a memory for storing processor-executable instructions;
wherein the processor is configured to:
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 architecture and resource configuration of the proprietary cloud platform, and the target planning data is used for constructing the proprietary cloud platform.
11. A non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the method of any one of claims 1 to 9.
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| CN113839821B (en) * | 2021-10-14 | 2024-05-24 | 京东科技信息技术有限公司 | Method, device, system, equipment and medium for deploying clusters and constructing infrastructure |
| CN115086331A (en) * | 2022-07-20 | 2022-09-20 | 阿里巴巴（中国）有限公司 | Cloud equipment scheduling method, device and system, electronic equipment and storage medium |
| CN115086331B (en) * | 2022-07-20 | 2024-06-07 | 阿里巴巴（中国）有限公司 | Cloud equipment scheduling method, device and system, electronic equipment and storage medium |
| CN117076006A (en) * | 2023-10-17 | 2023-11-17 | 北京智麟科技有限公司 | Method and system for configuring application in localization environment based on cloud platform |
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