CN114217973A

CN114217973A - Private cloud computing resource pool construction method and system

Info

Publication number: CN114217973A
Application number: CN202111554294.9A
Authority: CN
Inventors: 高原; 陈新星; 曾鹏; 王凯
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2021-12-17
Filing date: 2021-12-17
Publication date: 2022-03-22

Abstract

The embodiment of the application provides a private cloud computing resource pool construction method and system. The method comprises the following steps: responding to a request of a user for constructing a computing resource pool, and selecting a corresponding computing resource pool construction template; according to the time sequence rule determined according to the construction template of the computing resource pool, computing resource selection of the computing resource pool is carried out step by step until all computing resource selection is completed; and performing computing resource pool simulation construction based on the selected computing resources, and outputting a corresponding computing resource pool construction manual according to the computing resource pool simulation construction process. According to the scheme, the private cloud computing resource pool is constructed and implemented in a mode of abstracting into the template, and different templates can be designed according to different types of computing resource pools. When a user applies for building the computing resource pool, the user selects the template to build the computing resource pool, so that a lot of manual operations and waiting time are saved, and the building efficiency of the computing resource pool is greatly improved.

Description

Private cloud computing resource pool construction method and system

Technical Field

The application relates to the technical field of cloud platforms, in particular to a private cloud computing resource pool construction method and a private cloud computing resource pool construction system.

Background

Cloud computing is also called grid computing, and by the technology, tens of thousands of data can be processed in a short time (several seconds), so that powerful network services can be achieved. Based on the characteristics, cloud computing is more and more widely applied and is influenced by application scenes, and the existing cloud computing deployment modes mainly comprise three types, namely a private cloud, a public cloud and a mixed cloud. Among them, Private Clouds (Private Clouds) are built for individual use by one customer, thus providing the most effective control of data, security and quality of service. The method has the advantages of data safety, good service quality, customizability and the like, so that the market scale is larger and larger, and the related range is wider and wider.

Software for carrying out a private cloud computing environment mainly comprises VMware, Hyper-V, IBM PowerVM, open source OpenStack and the like. Unlike public clouds which are built by cloud service providers in a unified manner and provide cloud services, private cloud enterprises have to carry out a series of work such as configuration, deployment, monitoring and equipment protection in private clouds in the private cloud enterprises. Therefore, when the private cloud is constructed, the complicated steps and the huge calculation amount are always difficult problems in the industry.

Large and medium-sized enterprises generally have their own data centers, and various infrastructures required for building private cloud computing resource pools are arranged in the data centers. The cloud management platform realizes a management platform solution for constructing and supplying the private cloud computing resource pool, and completes resource allocation according to user requirements by abstracting various required infrastructures, thereby completing automatic management of computing resources, storage resources and network resources. Moreover, even if the computing resource pool is built, the cloud management platform often needs to be continuously upgraded and modified to complete the building and provision of services for different types of computing resource pools due to the continuous update of hardware devices and software. Therefore, no matter the previous private cloud computing resource pool is constructed, or the subsequent computing resource pool is updated and maintained, the tedious steps and the huge computing amount are all cutting in front of related personnel, and a new private cloud computing resource pool construction method needs to be created for solving the problem.

Disclosure of Invention

An object of the embodiments of the present application is to provide a method and a system for constructing a private cloud computing resource pool, so as to at least solve the above technical problem.

In order to achieve the above object, a first aspect of the present application provides a method for building a private cloud computing resource pool, including: responding to a request of a user for constructing a computing resource pool, and selecting a corresponding computing resource pool construction template; according to the time sequence rule determined according to the construction template of the computing resource pool, computing resource selection of the computing resource pool is carried out step by step until all computing resource selection is completed; and performing computing resource pool simulation construction based on the selected computing resources, and outputting a corresponding computing resource pool construction manual according to the computing resource pool simulation construction process.

In this embodiment of the present application, the selecting a corresponding computing resource pool to construct a template in response to a request from a user to construct a computing resource pool includes: acquiring a trigger signal of a request for building a computing resource pool initiated by a user; judging the orientation relation of the computing resource pool construction template directed by the trigger signal; and calling a corresponding computing resource pool construction template from the computing resource pool construction template library based on the pointing relation.

In an embodiment of the present application, the method further includes: constructing a computing resource pool construction template, comprising: obtaining a plurality of existing private cloud computing resource pools and classifying the plurality of existing private cloud computing resource pools; selecting at least one existing private cloud computing resource pool from each type of existing private cloud computing resource pool to form an existing private cloud computing resource pool set; acquiring a computing resource selection rule of each existing private cloud computing resource pool in the existing private cloud computing resource pool set to form a computing resource selection rule set; extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and constructing a construction template corresponding to each type of existing private cloud computing resource pool based on the corresponding simulation data to serve as a computing resource pool construction template.

In the embodiment of the application, the format of the computing resource pool construction template is an excel table and/or an xml file.

In an embodiment of the present application, the method further includes: constructing a computing resource pool construction template, comprising: guiding a user to carry out template editing for building a computing resource pool on a preset user-defined page according to a preset guiding rule, and sequentially recovering editing instructions of the user; gradually constructing a computing resource pool construction template according to the sequentially recovered editing instructions of the user, and outputting the constructed computing resource pool construction template until the preset guide rule is executed; the preset custom page is a guiding configuration page or a graphical dragging page.

In an embodiment of the present application, the computing resources include: physical computing devices and logical computing resources; wherein the physical computing device comprises at least: hardware package, machine room space distribution rules and network wiring rules; the logical computing resources include at least: network address assignment rules, associated cloud services, and virtualization cluster configurations.

In the embodiment of the present application, in selecting the computing resources of the computing resource pool step by step according to the timing rule determined by the template constructed from the computing resource pool, the computing resource selection sequence corresponding to the timing rule sequentially is: selecting a hardware package, selecting a machine room space distribution rule, selecting a network wiring rule, selecting a network address, selecting an associated cloud service, and selecting a virtualization cluster configuration.

In this embodiment of the present application, the step-by-step performing computing resource selection of a computing resource pool until all computing resource selections are completed includes: in the process of selecting the computing resources, acquiring the execution condition of the computing resources in real time, and judging whether the process of selecting the computing resources is abnormal or not by comparing the execution condition with the time sequence rule; and if the computing resource selection process is determined to be abnormal, immediately stopping the computing resource selection process, and generating a construction failure signal and an alarm signal.

In an embodiment of the present application, the method further includes: and opening a flow modification function in response to the construction failure signal or an active intervention signal initiated by a user.

A second aspect of the present application provides a private cloud computing resource pool building system, including: the triggering unit is used for responding to a request of a user for constructing the computing resource pool and selecting a corresponding computing resource pool construction template; the processing unit is used for selecting the computing resources of the computing resource pool step by step according to the time sequence rule determined by the template constructed by the computing resource pool until all the computing resources are selected; the simulation unit is used for carrying out simulation construction on a computing resource pool based on the selected computing resources; and the output unit is used for outputting the corresponding computing resource pool building manual according to the computing resource pool simulation building process.

In this embodiment of the present application, the selecting a corresponding computing resource pool to construct a template in response to a request from a user to construct a computing resource pool includes: acquiring a trigger signal of a request for building a computing resource pool initiated by a user; judging the orientation relation of the computing resource pool construction template directed by the trigger signal; calling a corresponding computing resource pool construction template from a computing resource pool construction template library based on the orientation relation; the system further comprises: and the storage unit is used for storing the computing resource pool to construct a template library.

In an embodiment of the present application, the processing unit is further configured to: building a computing resource pool building template; the building of the computing resource pool building template comprises the following steps: classifying the obtained plurality of existing private cloud computing resource pools; selecting at least one existing private cloud computing resource pool from each type of existing private cloud computing resource pool to form an existing private cloud computing resource pool set; acquiring a computing resource selection rule of each existing private cloud computing resource pool in the existing private cloud computing resource pool set to form a computing resource selection rule set; extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and constructing a construction template corresponding to each type of existing private cloud computing resource pool as a computing resource pool construction template based on the corresponding simulation data; the system further comprises: and the acquisition unit is used for acquiring a plurality of existing private cloud computing resource pools.

In an embodiment of the present application, the processing unit is further configured to: building a computing resource pool building template; the building of the computing resource pool building template comprises the following steps: guiding a user to carry out template editing for building a computing resource pool on a preset user-defined page according to a preset guiding rule, and sequentially recovering editing instructions of the user; gradually constructing a computing resource pool construction template according to the sequentially recovered editing instructions of the user, and outputting the constructed computing resource pool construction template until the preset guide rule is executed; the system also includes a human-computer interaction unit, which includes: the display module is used for guiding a user to carry out template editing of the construction of the computing resource pool on a preset self-defined page according to a preset guiding rule; the preset user-defined page is a guiding configuration page or a graphical dragging page; and the input module is used for recovering the editing instruction of the user.

In this embodiment of the present application, the step-by-step performing computing resource selection of a computing resource pool until all computing resource selections are completed includes: in the process of selecting the computing resources, acquiring the execution condition of the computing resources in real time, and judging whether the process of selecting the computing resources is abnormal or not by comparing the execution condition with the time sequence rule; if the computing resource selection process is determined to be abnormal, immediately stopping the computing resource selection process, and generating a construction failure signal and an alarm signal; the system further comprises: and the alarm unit is used for outputting the alarm signal.

A third aspect of the present application provides a machine-readable storage medium having stored thereon instructions that, when executed by a processor, cause the processor to be configured to perform the above-described private cloud computing resource pool construction method.

A fourth aspect of the present application provides a computer program product, which includes a computer program, and the computer program is executed by a processor to perform the above private cloud computing resource pool building method.

By the technical scheme, the private cloud computing resource pool is constructed and abstracted into the template mode, and different templates can be designed according to different types of computing resource pools. When a user applies for building the computing resource pool, the user selects the template to build the computing resource pool, so that a lot of manual operations and waiting time are saved, and the building efficiency of the computing resource pool is greatly improved.

Additional features and advantages of embodiments of the present application will be described in detail in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the embodiments of the disclosure, but are not intended to limit the embodiments of the disclosure. In the drawings:

fig. 1 schematically shows a flowchart of steps of a private cloud computing resource pool building method according to an embodiment of the present application;

fig. 2 schematically shows a system structure diagram of a private cloud computing resource pool building system according to an embodiment of the present application;

fig. 3 schematically shows an internal structure diagram of a computer device according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific embodiments described herein are only used for illustrating and explaining the embodiments of the present application and are not used for limiting the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are referred to in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are changed accordingly.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.

Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. In the early stage of cloud computing, simple distributed computing is adopted, task distribution is solved, and computing results are merged. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved. The existing cloud computing deployment modes mainly comprise three types, namely a private cloud, a public cloud and a mixed cloud. Among them, Private Clouds (Private Clouds) are built for individual use by one customer, thus providing the most effective control of data, security and quality of service. The company owns the infrastructure and can control the manner in which applications are deployed on this infrastructure. The private cloud can be deployed in a firewall of an enterprise data center, or can be deployed in a safe host hosting place, and the core attribute of the private cloud is a proprietary resource.

The public cloud generally refers to a cloud which can be used and is provided by a third-party provider for a user, the public cloud can be generally used through the Internet and can be free or low in cost, and the core attribute of the public cloud is a shared resource service. There are many instances of such a cloud that can provide services throughout the open public network today.

The hybrid cloud, as the name implies, is a combination of public cloud and private cloud, and is the main mode and development direction of cloud computing in recent years. It is known that private clouds are mainly oriented to enterprise users, and enterprises prefer to store data in the private clouds for security, but also desire to obtain computing resources of public clouds.

The private cloud mainly has the following characteristics:

1) and (4) data security. Private clouds are typically built behind the protection of corporate firewalls with a low probability of attack. For large enterprises, the security of data can be guaranteed.

2) The service quality is good. The project of the private cloud does not depend on the external network environment, the user cannot be influenced by unstable network when accessing, and the speed of accessing, maintaining and responding is improved.

3) Customizable, private clouds allow companies to precisely select the hardware to perform their own program applications and data storage.

Because the private cloud has the characteristics, the private cloud is larger and larger in market scale and wider in related range along with the technical development. The existing software for carrying out the private cloud computing environment mainly comprises VMware, Hyper-V, IBM Power VM, open source OpenStack and the like. Unlike public clouds which are built by cloud service providers in a unified manner and provide cloud services, private cloud enterprises have to carry out a series of work such as configuration, deployment, monitoring and equipment protection in private clouds in the private cloud enterprises. Therefore, when the private cloud is constructed, complicated steps and huge calculation amount are always difficult problems in the industry, and large and medium-sized enterprises generally use their own data centers, and various infrastructures required by construction of private cloud computing resource pools are arranged in the data centers. The cloud management platform realizes a management platform solution for constructing and supplying the private cloud computing resource pool, completes resource allocation according to user requirements by abstracting various required infrastructures, and completes automatic management of computing resources, storage resources and network resources. Moreover, even if the computing resource pool is built, the cloud management platform often needs to be continuously upgraded and modified to complete the building and provision of services for different types of computing resource pools due to the continuous update of hardware devices and software. Therefore, no matter the previous private cloud computing resource pool is constructed or the subsequent computing resource pool is updated and maintained, the complicated steps and huge computing amount are the trench cut blocked in front of related personnel, and aiming at the problem, the application scheme provides the private cloud computing resource pool construction method.

Fig. 1 schematically shows a flowchart of a private cloud computing resource pool building method according to an embodiment of the present application. As shown in fig. 1, in an embodiment of the present application, a method for building a private cloud computing resource pool is provided, including the following steps:

step S10: and responding to a request of a user for constructing the computing resource pool, and selecting a corresponding computing resource pool construction template.

Specifically, the basic idea of the scheme of the application is that a plurality of computing resource pool templates are preset, when a user has a computing resource pool building requirement, a corresponding computing resource pool building request signal is initiated based on the requirement degree of the user on the configuration of the computing resource pool, a corresponding template is selected, and then the computing resource pool is automatically built based on the template. Therefore, first, a request for building a computing resource pool is obtained from a user. The user triggers a request signal for building a computing resource pool at a preset port, for example, a corresponding building request button at a preset pc terminal or a mobile device terminal. The triggering unit responds to the request signal for building the computing resource pool and starts to automatically execute the computing resource pool building task.

In one embodiment, the user knows the own requirements, only needs to automatically execute the subsequent resource allocation process through the method, selects the corresponding adaptive template according to the own requirements, then clicks the trigger button of the template, and the trigger unit responds to the trigger signal of the user to judge that the user selects the corresponding template as the standard template constructed by the subsequent computing resource pool. Because each preset template trigger port only corresponds to one preset computing resource pool construction template, after the trigger unit receives the trigger signal, the template extraction is carried out in the preset computing resource pool construction template library according to the orientation relation of the rear-end preset computing resource pool construction template mapped by the trigger port, and the extracted template is used as a standard template for subsequent use.

In one embodiment, a user only knows the application scenario of the user, and cannot accurately know the computing capacity of the private cloud computing resource pool, that is, cannot quantify the computing resource pool requirement of the user, so that the user cannot select the computing resource pool template based on the value. In this case, application scenario parameters of the user, such as the number of people using the template or the number of devices using the template, may be collected in advance, or the application scope of the corresponding template may be directly presented at the template selection port, such as "applicable to 20-30 people", so as to facilitate the user to select the application scenario parameters as desired.

Because the above is the template selection performed directly, in order to implement the automatic construction of the computing resource pool based on the template, the computing resource pool template construction needs to be performed first, and then a computing resource pool template library is formed.

In one embodiment, automatic template creation is performed, when template creation is performed, template creation rules need to be accurately known, the creation rules are hidden in private clouds which are already put into use, the private clouds which are already put into use are researched, matching rules of various computing resources can be obtained, then essential rules in the matching rules are trained, and template matching is performed based on the essential rules. Or, various computing resources of the private cloud which is already put into use are directly abstracted, namely digitized, and the digitized content is directly used as template content.

Therefore, a plurality of existing private cloud computing resource pools are required to be collected, the private cloud computing resource pools comprise a plurality of types, and the private cloud computing resource pools are different in configuration equipment and computing capacity, then the private cloud computing resource pools are classified, the classification rules are classified by using parameters such as computing power or storage power, a value range is defined for each class, and then the private clouds in the corresponding value ranges are classified into one class. At least one, and preferably at least 3, of the existing private clouds of each type are then screened to form a pool of private cloud computing resources. Because if only one of each class is selected, the difference may cause template imbalance. The comparison among the private clouds can be realized by selecting at least three templates of the same category, and the influence on the result caused by the excessively-seriously-differentiated private clouds is avoided. Then, obtaining a computing resource selection rule set of each existing private cloud computing resource pool in the existing private cloud computing resource pool set; extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and then constructing a construction template corresponding to each type of existing private cloud computing resource pool based on the corresponding simulation data. And if the template generation is required according to the model training, selecting the existing computing resource pool with larger quantity as a training sample, and training based on the training sample to obtain the template.

In one embodiment, in order to further improve the flexibility of the method, the user may create a template or modify an existing template according to the user's own needs and the actual application environment, according to the differentiation needs. The user carries out template self-defining on a preset self-defining page, and in order to avoid the problem that a finally configured computing resource pool bug is too much due to the fact that the user does not carry out random self-defining according to the adaptive requirement, preferably, each computing resource has a certain association rule, user guiding is carried out based on the association rule, and namely, a semi-open self-defining page is provided. Configuration failure caused by negligence of a user can be avoided, and the efficiency of self-defining the template can be improved. After a computing resource is selected, other connectable computing resources can be displayed according to a preset association rule, and the search time of a user is reduced. When the user-defined page is designed, the user-defined page can be designed as a guide configuration page or a graphical dragging page. The method includes the steps that the configuration page is guided, namely, the computing resources needing to be added are displayed step by step according to a preset configuration sequence, and after one computing resource is selected, the next page is switched to be selected. The graphical dragging page is used for visually presenting all computing resources, and a user can drag visual pictures to a designated position according to requirements. This approach is more open. Preferably, the user can select the page type according to the self requirement and preference, and the use satisfaction of the user is improved.

In one embodiment, the computing resources include: physical computing devices and logical computing resources; wherein the physical computing device comprises at least: hardware package, machine room space allocation rules and network wiring rules. The logical computing resources include at least: network address assignment rules, virtualization cluster configurations, and associated cloud services. Wherein:

the hardware package includes device type, number, type, configuration. The device type can be selected from a server, a switch, a manager, a storage machine and the like, the device type can be selected from a PC server, a small-sized machine, a gigabit switch, NAS storage, a KVM manager and the like, and the device configuration can be selected from a CPU, a memory, a disk, a U height, a power supply mode, an installation mode and the like.

The machine room space allocation rules include the number of cabinets, whether the cabinets are continuous, the available U bits in the cabinets, and the like.

The network wiring rule includes a line connection rule of each device, and preferably, the network wiring rule is generated in a template file, and the template file is in an excel form.

The network address allocation rule includes a device type, an IP number, an allocation unit, an allocation rule, and the like. The device type is consistent with the device type, the IP type can select the types of management, production, ILO and the like, the distribution unit can select the distribution modes of clusters, single device and the like, and the continuity of an IP network segment or IP can be limited.

The method mainly defines the virtualized configuration, and completes the diversified configuration under different conditions and scenes, such as DRS (distributed resource scheduler) configuration, CPU (Central processing Unit) and memory utilization rate of a virtual machine, power supply and the like, according to the template definition, and the clustered configuration can select a certain number of servers as a cluster.

The associated cloud service is defined in the cloud management platform, and the version, the high-availability type and the automatic installation process of the system are defined in the cloud service.

Step S20: and selecting the computing resources of the computing resource pool step by step according to the time sequence rule determined by the template constructed according to the computing resource pool until all the computing resources are selected.

In particular, since logical computing resources are often built on a physical device basis, the physical computing device allocation is preferably performed first when computing resource selection is performed. The specific distribution sequence is to distribute the hardware package, the machine room space distribution rule, the network wiring rule, the network address distribution, the associated cloud service distribution and the virtualization cluster configuration distribution. And selecting applicable computing resources according to the equipment specified by the template, if a certain computing equipment has multiple candidate targets, correspondingly outputting multiple distribution schemes, scoring each scheme, and sequencing the candidate distribution schemes according to the scoring size for a user to select. When the resource pool is constructed according to the template, the system automatically screens the equipment meeting the equipment configuration conditions according to the type, the quantity and the configuration of the equipment by the hardware package, and does not need manual screening by operation and maintenance implementing personnel. The automatic screening can acquire data such as types, quantity, states, configurations and the like of hardware equipment based on the cloud management platform or the interface. The system automatically allocates available cabinets and U bits according to the room space allocation rule. The automatic allocation can acquire the cabinet and the U-bit data thereof based on the cloud management platform or the interface.

The network wiring is automatically filled into the template file by adopting an algorithm according to the construction and implementation conditions to generate a network wiring table according to the template, and the machine room implementer carries out wiring implementation according to the generated template file. The algorithm can acquire data of permanent link management in the machine room based on a cloud management platform or an interface, and an optimal network wiring table is calculated for positions of two ends of the network equipment, the server and the storage equipment according to the permanent link data so as to keep the orderliness of machine room wiring and avoid extra work brought to operation and maintenance personnel due to excessive jumper wires and serial wires.

The network address allocation adopts a mode of automatic allocation according to rules defined by the template, the allocation is automatically carried out when the pre-allocation condition is met, and a prompt is given if the pre-allocation condition is not met. The automatic allocation can acquire data of network addresses based on a cloud management platform or an interface. And automatically installing and managing the selected virtualization configuration and the associated cloud service according to the virtualization cluster configuration template. And the automatic installation machine is installed according to the selected cloud service through virtualization technologies such as VMware, powerVM or openstack according to the type of the resource pool.

In one embodiment, if the optimal resource allocation is performed only according to the theoretical situation, it usually requires a high configuration cost, that is, the corresponding computing resource needs to be purchased according to the allocation result. In order to avoid the situation that the output result is simply pursued for performance and the cost is too high, the calculation resource selection process is preferably bound with the equipment library. That is, an enterprise often has an equipment library, and if the enterprise can be built according to equipment in the equipment library, the construction cost is inevitably greatly reduced.

For example, the cloud management platform or interface may obtain device data stored by a server, a switch, and a NAS currently in stock, including a device unique identifier and a device configuration. The template-defined data model is matched with the data model of the device. And if the template definition needs 8 servers with the CPUs 56C and the memories 160G, inquiring the number of inventory servers with the CPUs 56C and the memories 160G, if the number is not less than 8, indicating that the matching is successful, returning to a state of successful matching, automatically selecting the previous 8 devices to construct a resource pool, and continuously circulating the process. If the number of the devices is less than 8, the matching is failed, a matching failure state is returned, the user is reminded to supplement the devices or modify the scheme, and after the defects of the current step are overcome, the process of constructing the computing resource pool is executed again.

Step S30: and performing computing resource pool simulation construction based on the selected computing resources, and outputting a corresponding computing resource pool construction manual according to the computing resource pool simulation construction process.

Specifically, after each item of computing resource selection is completed, the system performs system simulation construction according to the distributed computing resources, including device layout simulation and wiring simulation, and generates a construction manual according to simulation rules, wherein the construction manual specifies the specific model and installation sequence of the devices and the logic computing resource selection sequence of the subsequent wiring sequence, so that a user can conveniently perform private cloud creation according to the manual.

In the embodiment of the invention, the private cloud computing resource pool is constructed and abstracted into the template mode, and different templates can be designed according to different types of computing resource pools. When a user applies for building the computing resource pool, the template is selected for building, so that a lot of manual operations and waiting time are saved, and the building efficiency of the computing resource pool is greatly improved. And defining a process for constructing a computing resource pool, splitting the template block into process nodes, and matching the nodes according to an algorithm in the execution process.

In one embodiment, as shown in fig. 2, there is provided a private cloud computing resource pool building system, including: the triggering unit is used for responding to a request of a user for constructing the computing resource pool and selecting a corresponding computing resource pool construction template; the processing unit is used for selecting the computing resources of the computing resource pool step by step according to the time sequence rule determined by the template constructed by the computing resource pool until all the computing resources are selected; the simulation unit is used for carrying out simulation construction on a computing resource pool based on the selected computing resources; and the output unit is used for outputting the corresponding computing resource pool building manual according to the computing resource pool simulation building process.

In one embodiment, the selecting a corresponding computing resource pool building template in response to a user request to build a computing resource pool includes: acquiring a trigger signal of a request for building a computing resource pool initiated by a user; judging the orientation relation of the computing resource pool construction template directed by the trigger signal; calling a corresponding computing resource pool construction template from a computing resource pool construction template library based on the orientation relation; the system further comprises: and the storage unit is used for storing the computing resource pool to construct a template library.

In one embodiment, the processing unit is further configured to: building a computing resource pool building template; the building of the computing resource pool building template comprises the following steps: classifying the obtained plurality of existing private cloud computing resource pools; selecting at least one existing private cloud computing resource pool from each type of existing private cloud computing resource pool to form an existing private cloud computing resource pool set; acquiring a computing resource selection rule of each existing private cloud computing resource pool in the existing private cloud computing resource pool set to form a computing resource selection rule set; extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and constructing a construction template corresponding to each type of existing private cloud computing resource pool as a computing resource pool construction template based on the corresponding simulation data; the system further comprises: and the acquisition unit is used for acquiring a plurality of existing private cloud computing resource pools.

In one embodiment, the processing unit is further configured to: building a computing resource pool building template; the building of the computing resource pool building template comprises the following steps: guiding a user to carry out template editing for building a computing resource pool on a preset user-defined page according to a preset guiding rule, and sequentially recovering editing instructions of the user; gradually constructing a computing resource pool construction template according to the sequentially recovered editing instructions of the user, and outputting the constructed computing resource pool construction template until the preset guide rule is executed; the system also includes a human-computer interaction unit, which includes: the display module is used for guiding a user to carry out template editing of the construction of the computing resource pool on a preset self-defined page according to a preset guiding rule; the preset user-defined page is a guiding configuration page or a graphical dragging page; and the input module is used for recovering the editing instruction of the user.

In one embodiment, the progressively performing the computing resource selection of the computing resource pool until all computing resource selections are completed comprises: in the process of selecting the computing resources, acquiring the execution condition of the computing resources in real time, and judging whether the process of selecting the computing resources is abnormal or not by comparing the execution condition with the time sequence rule; if the computing resource selection process is determined to be abnormal, immediately stopping the computing resource selection process, and generating a construction failure signal and an alarm signal; the system further comprises: and the alarm unit is used for outputting the alarm signal.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the private cloud computing resource pool building method is realized by adjusting kernel parameters.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.

The embodiment of the application provides a storage medium, wherein a program is stored on the storage medium, and when the program is executed by a processor, the private cloud computing resource pool building method is realized.

The embodiment of the application provides a processor, wherein the processor is used for running a program, and the private cloud computing resource pool construction method is executed when the program runs.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) connected through a system bus. Wherein processor a01 of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises an internal memory a03 and a non-volatile storage medium a 06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a 06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program when executed by processor a01 implements a private cloud computing resource pool construction method. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, a button, a trackball or a touch pad arranged on a casing of the computer device, or an external keyboard, a touch pad or a mouse.

Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, the private cloud computing resource pool building system provided by the present application may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 3. The memory of the computer device may store various program modules that make up the private cloud computing resource pool building system. The computer program constituted by the program modules causes the processor to execute the steps in the private cloud computing resource pool building method according to the embodiments of the present application described in the present specification.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, which include both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A private cloud computing resource pool construction method is characterized by comprising the following steps:

responding to a request of a user for constructing a computing resource pool, and selecting a corresponding computing resource pool construction template;

according to the time sequence rule determined according to the construction template of the computing resource pool, computing resource selection of the computing resource pool is carried out step by step until all computing resource selection is completed;

and performing computing resource pool simulation construction based on the selected computing resources, and outputting a corresponding computing resource pool construction manual according to the computing resource pool simulation construction process.

2. The method of claim 1, wherein selecting a corresponding computing resource pool build template in response to a user request to build a computing resource pool comprises:

acquiring a trigger signal of a request for building a computing resource pool initiated by a user;

judging the orientation relation of the computing resource pool construction template directed by the trigger signal;

and calling a corresponding computing resource pool construction template from the computing resource pool construction template library based on the pointing relation.

3. The method of claim 1, further comprising:

constructing a computing resource pool construction template, comprising:

obtaining a plurality of existing private cloud computing resource pools and classifying the plurality of existing private cloud computing resource pools;

selecting at least one existing private cloud computing resource pool from each type of existing private cloud computing resource pool to form an existing private cloud computing resource pool set;

acquiring a computing resource selection rule of each existing private cloud computing resource pool in the existing private cloud computing resource pool set to form a computing resource selection rule set;

extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and constructing a construction template corresponding to each type of existing private cloud computing resource pool based on the corresponding simulation data to serve as a computing resource pool construction template.

4. The method according to claim 3, wherein the format of the computing resource pool building template is an excel table and/or an xml file.

5. The method of claim 1, further comprising:

constructing a computing resource pool construction template, comprising:

guiding a user to carry out template editing for building a computing resource pool on a preset user-defined page according to a preset guiding rule, and sequentially recovering editing instructions of the user;

gradually constructing a computing resource pool construction template according to the sequentially recovered editing instructions of the user, and outputting the constructed computing resource pool construction template until the preset guide rule is executed; wherein the content of the first and second substances,

the preset custom page is a guiding configuration page or a graphical dragging page.

6. The method of claim 1, wherein the computing resources comprise:

physical computing devices and logical computing resources; wherein the content of the first and second substances,

the physical computing device includes at least: hardware package, machine room space distribution rules and network wiring rules;

the logical computing resources include at least: network address assignment rules, associated cloud services, and virtualization cluster configurations.

7. The method according to claim 6, wherein in the step-by-step selection of the computing resources of the computing resource pool according to the timing rule determined according to the template constructed by the computing resource pool, the computing resource selection sequence corresponding to the timing rule is as follows:

selecting a hardware package, selecting a machine room space distribution rule, selecting a network wiring rule, selecting a network address, selecting an associated cloud service, and selecting a virtualization cluster configuration.

8. The method of claim 1, wherein said progressively selecting computing resources of the computing resource pool until all computing resource selections are complete comprises:

in the process of selecting the computing resources, acquiring the execution condition of the computing resources in real time, and judging whether the process of selecting the computing resources is abnormal or not by comparing the execution condition with the time sequence rule;

and if the computing resource selection process is determined to be abnormal, immediately stopping the computing resource selection process, and generating a construction failure signal and an alarm signal.

9. The method of claim 8, further comprising:

and opening a flow modification function in response to the construction failure signal or an active intervention signal initiated by a user.

10. A private cloud computing resource pool construction system, the system comprising:

the triggering unit is used for responding to a request of a user for constructing the computing resource pool and selecting a corresponding computing resource pool construction template;

the processing unit is used for selecting the computing resources of the computing resource pool step by step according to the time sequence rule determined by the template constructed by the computing resource pool until all the computing resources are selected;

the simulation unit is used for carrying out simulation construction on a computing resource pool based on the selected computing resources;

and the output unit is used for outputting the corresponding computing resource pool building manual according to the computing resource pool simulation building process.

11. The system of claim 10, wherein selecting a corresponding computing resource pool build template in response to a user request to build a computing resource pool comprises:

calling a corresponding computing resource pool construction template from a computing resource pool construction template library based on the orientation relation;

the system further comprises:

and the storage unit is used for storing the computing resource pool to construct a template library.

12. The system of claim 10, wherein the processing unit is further configured to: building a computing resource pool building template;

the building of the computing resource pool building template comprises the following steps:

classifying the obtained plurality of existing private cloud computing resource pools;

extracting each computing resource selection rule in the computing resource selection rule set into corresponding simulation data according to preset extraction rules, and constructing a construction template corresponding to each type of existing private cloud computing resource pool as a computing resource pool construction template based on the corresponding simulation data;

the system further comprises:

and the acquisition unit is used for acquiring a plurality of existing private cloud computing resource pools.

13. The system of claim 10, wherein the processing unit is further configured to: building a computing resource pool building template;

gradually constructing a computing resource pool construction template according to the sequentially recovered editing instructions of the user, and outputting the constructed computing resource pool construction template until the preset guide rule is executed;

the system also includes a human-computer interaction unit, which includes:

the display module is used for guiding a user to carry out template editing of the construction of the computing resource pool on a preset self-defined page according to a preset guiding rule; the preset user-defined page is a guiding configuration page or a graphical dragging page;

and the input module is used for recovering the editing instruction of the user.

14. The system of claim 10, said progressively making computing resource selections of the computing resource pool until all computing resource selections are complete, comprising:

if the computing resource selection process is determined to be abnormal, immediately stopping the computing resource selection process, and generating a construction failure signal and an alarm signal;

the system further comprises:

and the alarm unit is used for outputting the alarm signal.

15. A computer-readable storage medium having instructions stored thereon, which when executed on a computer, cause the computer to perform the private cloud computing resource pool construction method of any one of claims 1-9.

16. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the private cloud computing resource pool construction method of any of claims 1-9.