WO2019057055A1

WO2019057055A1 - Task processing method and apparatus, electronic device, and storage medium

Info

Publication number: WO2019057055A1
Application number: PCT/CN2018/106413
Authority: WO
Inventors: 张伟
Original assignee: 北京金山云网络技术有限公司; 北京金山云科技有限公司
Priority date: 2017-09-22
Filing date: 2018-09-19
Publication date: 2019-03-28
Also published as: CN109547514A

Abstract

Embodiments of the present application provide a task processing method and apparatus, an electronic device, and a storage medium, applied to an agent layer component of a hybrid cloud system. The method comprises: receiving a first computing task message, wherein the first computing task message comprises: a task to be processed, a first task parameter corresponding to the task, and identifier information of a first cloud computing platform corresponding to the task; determining the type of the task according to the first computing task message, and when the type of the task is a preset type, converting the first task parameter into a second task parameter in a corresponding format recognizable by the first cloud computing platform; and sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter. The present method can improve the management and use efficiency of a hybrid cloud system.

Description

Task processing method, device, electronic device and storage medium

The present application claims priority to the Chinese Patent Application entitled "A Task Processing Method, Apparatus, Electronic Device, and Storage Medium" by the Chinese Patent Office, filed on Sep. 22, 2017, the entire disclosure of which is hereby incorporated by reference. Combined in this application.

Technical field

The present application relates to the field of cloud computing technologies, and in particular, to a task processing method, apparatus, electronic device, and storage medium.

Background technique

Hybrid cloud mainly refers to platform integration of private cloud and public cloud. By combining private cloud and public cloud by using dedicated technology, the entire hybrid cloud system has data and application portability, providing customers with on-demand, Multi-level resource expansion.

The private cloud clusters of enterprise customers are mostly located in self-built machine rooms or managed computer rooms, which are the main business of users. At the same time, enterprise customers retain enterprise accounts in public cloud vendors, and preserve various basic resources of public clouds as private cloud cluster resources. Supplement. The scenarios that currently include hybrid cloud requirements are: First, the separation of development and test environments: testing in public clouds can reduce costs, deploying production environments in private clouds, with security and controllability; Disaster recovery considerations and improved availability: When using a load balancer to balance services, use both private and public clouds, or when one party fails, migrate the service to the peer; third, users want to use multiple vendors. I don't want to bind to a single vendor. Fourth, build a hybrid cloud to support the original system. If you have already used a public cloud, you need a new online private cloud environment.

Currently, all public cloud vendors provide OpenAPI (Open Application Programming Interface) for users to call. OpenAPI shields the implementation of the back-end architecture and exposes the same call interface.

The hybrid cloud technology in the related art enables the client to display in different display interfaces by calling OpenAPI of various cloud platforms by creating a common platform. However, when multiple cloud platforms exist at the same time, since the OpenAPI of each cloud platform is different, the client needs to configure multiple interfaces to access various cloud platforms, and the configuration requirements for the client are high, and the related technologies are mixed. The management of the cloud system is highly complex and there is a problem of low application efficiency.

Summary of the invention

The purpose of the embodiments of the present application is to provide a task processing method, device, electronic device, and storage medium, so as to improve management and usage efficiency of the hybrid cloud system. The specific technical solutions are as follows:

In a first aspect, the embodiment of the present application provides a task processing method, which is applied to a proxy layer component of a hybrid cloud system, where the method includes: receiving a first computing task message, where the first computing task message includes: The processed task, the first task parameter corresponding to the task, and the identification information of the first cloud computing platform corresponding to the task; determining the type of the task according to the first computing task message, when the type of the task is Converting the first task parameter to a second task parameter of a corresponding format recognizable by the first cloud computing platform, and transmitting the task and the second task parameter to the first The cloud computing platform is configured to cause the first cloud computing platform to process the task according to the second task parameter.

In the embodiment of the present application, the converting the first task parameter into the second task parameter of the corresponding format that is identifiable by the first cloud computing platform includes: parsing the first task parameter; The first task parameter is converted into a second task parameter of a corresponding format identifiable by the first cloud computing platform.

In the embodiment of the present application, after the determining the type of the task according to the first computing task message, a task processing method in the embodiment of the present application further includes: when the type of the task is not a preset type, according to A preset database that processes the tasks.

In the embodiment of the present application, a task processing method of the embodiment of the present application further includes: periodically updating the preset database by using a virtual private network.

In the embodiment of the present application, after the receiving the first computing task message, the task processing method of the embodiment of the present application further includes: determining whether the first computing task message is a task message in a preset specification format; When the first computing task message is not a task message of a preset specification format, the first computing task message is converted into a task message of the preset specification format.

In a second aspect, the embodiment of the present application provides a task processing apparatus, where the apparatus includes: a receiving module, configured to receive a first computing task message, where the first computing task message includes: a task to be processed, the The first task parameter corresponding to the task and the identification information of the first cloud computing platform corresponding to the task; the conversion module is configured to determine the type of the task according to the first computing task message, when the type of the task is pre When the type is set, the first task parameter is converted into a second task parameter of a corresponding format recognizable by the first cloud computing platform; and the sending module is configured to send the task and the second task parameter to The first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter.

In the embodiment of the present application, the conversion module includes: a parsing sub-module, configured to parse the first task parameter; and the first conversion sub-module is configured to parse the first task parameter after parsing the parsing sub-module Converting to a second task parameter of a corresponding format recognizable by the first cloud computing platform.

In the embodiment of the present application, the task processing apparatus of the embodiment of the present application further includes: a processing module, configured to: when the conversion module determines that the type of the task is not a preset type, according to a preset database, The task is processed.

In the embodiment of the present application, the task processing apparatus of the embodiment of the present application further includes: an update module, configured to periodically update the preset database by using a virtual private network.

In the embodiment of the present application, the task processing apparatus of the embodiment of the present application further includes: a determining module, configured to determine whether the first computing task message is a task message in a preset specification format; and a conversion module, configured to be When the determining module determines that the first computing task message is not a task message of a preset specification format, the determining the first computing task message into a task message of the preset specification format.

In a third aspect, the embodiment of the present application provides a task processing system, where the system includes: a proxy layer component, a first cloud computing platform, and the proxy layer component is configured to receive a first computing task message, where the The first computing task message includes: a task to be processed, a first task parameter corresponding to the task, and identifier information of the first cloud computing platform corresponding to the task, and determining a type of the task according to the first computing task message Converting the first task parameter to a second task parameter of a corresponding format recognizable by the first cloud computing platform, when the type of the task is a preset type, and the task and the second task are And sending, to the first cloud computing platform, the first cloud computing platform, configured to receive the task and the second task parameter sent by the proxy layer component, and according to the second task parameter, The task is processed.

In the embodiment of the present application, the proxy layer component is configured to parse the first task parameter, and convert the parsed first task parameter into a second task corresponding to the first cloud computing platform. parameter.

In the embodiment of the present application, the proxy layer component is further configured to process the task according to a preset database when the type of the task is not a preset type.

In the embodiment of the present application, the proxy layer component is further configured to periodically update the preset database by using a virtual private network.

In the embodiment of the present application, the proxy layer component is further configured to determine whether the first computing task message is a task message in a preset specification format; when the first computing task message is not a task message in a preset specification format And converting the first computing task message into a task message of the preset specification format.

In the embodiment of the present application, the first cloud computing platform is configured to process the task according to the second task parameter and a preset database.

An embodiment of the present application provides an electronic device including a processor and a machine readable storage medium storing machine executable instructions executable by the processor, the processor executing the The steps of the task processing method provided above are implemented when the machine executes the instructions.

The embodiment of the present application provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and when the computer program is executed by the processor, implements the task processing method steps provided above.

The embodiment of the present application also provides a computer program product comprising instructions that, when run on a computer, cause the computer to perform the task processing method provided above.

The embodiment of the present application also provides a computer program that, when run on a computer, causes the computer to execute the task processing method provided above.

The task processing method, device, electronic device and storage medium provided by the embodiments of the present application are applied to a proxy layer component of a hybrid cloud system, and the proxy layer receives a first computing task message, where the first computing task message includes: to be processed The first task parameter corresponding to the task and the task, and the identification information of the first cloud computing platform corresponding to the task; the agent layer determines the type of the task according to the first computing task message, and when the type of the task is the preset type, the first computing task Converting the first task parameter in the message to a second task parameter of a corresponding format recognizable by the first cloud computing platform, so that the first cloud computing platform can identify; sending the task and the second task parameter to the first cloud computing platform, So that the first cloud computing platform processes the task according to the second task parameter. By introducing a proxy layer component, the task parameters of the computing task are converted into task parameters that can be calculated on the corresponding cloud computing platform, so that the cloud computing platform passes the post-conversion processing task of the proxy layer, and the method provided by the embodiment of the present application, Introducing the agent layer design, configuring an interface on the client to connect with multiple cloud computing platforms, and implementing tasks on different cloud computing platforms in the hybrid cloud system can improve the management and usage efficiency of the hybrid cloud system. Of course, implementing any of the products or methods of the present application necessarily does not necessarily require all of the advantages described above to be achieved at the same time.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

FIG. 1 is a schematic structural diagram of a hybrid cloud system according to an embodiment of the present application;

2 is a flowchart of a task processing method according to an embodiment of the present application;

FIG. 3 is a flowchart of a task processing method according to another embodiment of the present application;

4 is a flowchart of a task processing method according to another embodiment of the present application;

FIG. 5 is a flowchart of a task processing method according to still another embodiment of the present application;

FIG. 6 is a schematic structural diagram of a task processing apparatus according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a task processing apparatus according to another embodiment of the present application;

FIG. 8 is a schematic structural diagram of a task processing apparatus according to another embodiment of the present application;

FIG. 9 is a schematic structural diagram of a task processing apparatus according to still another embodiment of the present application;

FIG. 10 is a schematic structural diagram of a task processing system according to an embodiment of the present application;

FIG. 11 is a system architecture diagram of a task processing method according to an embodiment of the present application;

FIG. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the drawings in the embodiments of the present application. It is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

In the hybrid cloud technology of the related technology, when multiple cloud platforms exist at the same time, the client needs to configure multiple interfaces to access various cloud platforms, and the configuration requirements of the client are high, and the management complexity of the hybrid cloud system is high. The present invention provides a task processing method, device, electronic device, and storage medium.

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

The embodiment of the present application provides a task processing method, which can be applied to a proxy layer component of a hybrid cloud system, where the hybrid cloud system can include a private cloud computing platform, a public cloud computing platform, and a management private cloud computing platform and a public cloud. The server of the computing platform, the agent layer component is located in the server. The agent layer component is a functional module of the server that provides a unified standard interface for all cloud computing platforms in the hybrid cloud system. FIG. 1 is a schematic structural diagram of a hybrid cloud system according to an embodiment of the present application, including a proxy layer component 110, a unit test module 120, a private cloud platform 130, a public cloud platform 140, and other cloud platforms 150.

The proxy layer component 110 is a module in the server. The interfaces of the private cloud platform 130, the public cloud platform 140, and other cloud platforms 150 are all connected to the proxy layer component 110. The unit test module 120 is configured to determine the underlying cloud platforms. Whether it is possible to access the proxy layer component 110, and the package condition can be accessed.

FIG. 2 is a flowchart of a task processing method according to an embodiment of the present application, including the following steps:

Step 101: Receive a first computing task message.

The proxy layer receives the first computing task message sent by the client, where the first computing task message includes: a task to be processed, a first task parameter corresponding to the task, and identifier information of the first cloud computing platform corresponding to the task. The task to be processed is an operation task that can be performed on the cloud computing platform, and the task to be processed can be a query, a creation, an update, a deletion, and the like; the first task parameter corresponding to the task to be processed is a specific task content, for example, when When the task to be processed is the query, the first task parameter corresponding to the task to be processed is the specific content of the query, which may be a query for the user account, querying the service data, etc., but is not limited thereto; when the task to be processed is updated The first task parameter corresponding to the task to be processed may be the specific service content, the update address, and the like, but is not limited thereto; when the task to be processed is deleted, the first task parameter corresponding to the task to be processed may be The specific content to be deleted, the deleted address, etc., but not limited to this. The proxy layer can determine the specific operations that can be performed on the first cloud computing platform by using the first task parameter corresponding to the task to be processed and the task. The first cloud computing platform corresponding to the task to be processed is selected by the user, that is, the agent layer receives. The only cloud computing platform that handles tasks, that is, the cloud computing platform that handles tasks.

Step 102: Determine a type of the task according to the first computing task message. When the type of the task is a preset type, convert the first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform.

After receiving the first computing task message, the agent layer may determine the type of the task according to the task to be processed, or determine the type of the task according to the task to be processed and the first task parameter corresponding to the task to be processed. When the type is a preset type, the first task parameter included in the first computing task message is converted into a second task parameter that is identifiable by the first cloud computing platform and corresponding to the format. For example, the preset type may be: creating a cloud host, updating a cloud host, deleting a cloud host, or migrating a cloud host, but is not limited thereto.

The second task parameter includes a specific task content of the corresponding format that can be recognized by the first cloud computing platform. For example, when the task to be processed is a query, the first task parameter corresponding to the task to be processed may be the specific content of the query, and the query User accounts, query business data, etc., but are not limited to this. The proxy layer may send the corresponding computing task message to different cloud computing platforms according to the first task parameter and the preset routing rule. The preset routing rule may be a routing path from the agent layer to the cloud computing platform corresponding to the second task parameter.

For example, the preset routing rule may be expressed in the following form: {"AA-B, C1": "http://C1.AA-B.com"}, in the first task parameter in the first computing task message Including: {"B": "AA-B", "C": "C1"} parameters, the above proxy layer can replace the first computing task message with the second task parameter, according to the preset route Rules, sent to the cloud computing platform of "http://C1.AA-B.com", where "B" can represent the cloud computing platform, "AA-B" can represent the name of the cloud computing platform, and "C" can represent For the area, "C1" can represent the area name.

The purpose of converting the first task parameter into the second task parameter is to convert the task parameters of the differently processed tasks to be processed by the agent layer into identifiable ones that can perform calculations on the selected cloud computing platform. The corresponding task parameter of the unified format.

For example, suppose the first task parameter in the first computing task message is: {"server":{"name":"vm1","size":"3","network":["afa81e0d-0618-470e- 99f4-53072a597cf4"], "ima ge": "d45a360c-723d-4217-a0ad-98605c162b36"}}, means: create a host named "vm1", the specification is "3", and the network is "afa81e0d-0618-470e" -99f4-53072a597cf4", the cloud host with the host image name "d45a360c-723d-4217-a0ad-98605c162b36".

Assume that the preset type is to create a cloud host "boot server". It can be seen that the task type in the first computing task message is the same as the preset type, and the first task parameter can be converted into a second task parameter, where the content and format of the second task parameter is: {"server" :{"name":"vm1","flavorRef":"3","networks":[{"uuid":"afa81e0d-0618-470e-99f4-53072a597cf4"}],"imageRef":"d45a360c-723d -4217-a0ad-98605c162b36"}}. Among them, "flavorRef" indicates the common specification name on the cloud host platform, "uuid" indicates the unique network identification code common on the cloud host platform, and "imageRef" indicates the common host image name on the cloud host platform.

It can be seen that, by converting the first task parameter into the second task parameter, the first task parameter in the first computing task message sent by the client can be converted into a identifiable one that can perform calculation on the cloud computing platform. The corresponding task parameter of the unified format.

Step 103: Send the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter.

After the proxy layer converts the first task parameter into the second task parameter of the corresponding format recognizable by the first cloud computing platform, the task to be processed and the second task parameter may be sent to the first cloud computing platform, so that the first cloud computing The platform may process the task to be processed according to the specific task content or the operation content included in the second task parameter, such as the specific content of the query, the update of the specific business content, and the like.

The task processing method provided in the embodiment of the present application is applied to the proxy layer component of the hybrid cloud system, and the proxy layer receives the first computing task message, and converts the first task parameter included in the first computing task message into the first cloud computing. a second task parameter of the corresponding format that can be identified by the platform, so that the first cloud computing platform can identify; send the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform is configured according to the second task parameter. The task is processed, and the task parameters of the computing task are converted into task parameters that can be calculated on the corresponding cloud computing platform by introducing the agent layer component, so that the cloud computing platform passes the post-conversion processing task of the agent layer, and the application is implemented. The method provided by the example introduces the agent layer design, configures an interface on the client to connect with multiple cloud computing platforms, and implements tasks on different cloud computing platforms in the hybrid cloud system, which can improve the management and use of the hybrid cloud system. effectiveness.

As another specific implementation manner of the present application, in combination with the foregoing embodiment, the first task parameter in step 102 is converted into a second task parameter of a corresponding format recognizable by the cloud computing platform, as shown in FIG. 3, including the following step:

In step 1021, the first task parameter is parsed.

After receiving the first computing task message, the proxy layer may first parse the first task parameter included in the first computing task message. In an actual application, the first task parameter may include a parameter agreed with the user, such as a cloud computing platform name and a region name, etc., in converting the first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform. Before, the first task parameter needs to be parsed, and the cloud computing platform name included in the first task parameter is parsed, for example, a big data platform, a physical machine platform, a network platform, etc., and the area name may be included, and the area name may be based on Parameters submitted by the user's actual needs.

Step 1022: Convert the parsed first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform.

After the first task parameter is parsed, the proxy layer may convert the first task parameter into the first task according to the first task parameter obtained after the parsing, which may include a cloud computing platform name, an area name, a specific operation task, and the like. The second task parameter of the corresponding format recognizable by the cloud computing platform. The content included in the second task parameter may be the same as the first task parameter, but the format of the second task parameter is a corresponding format recognizable by the first cloud computing platform, so as to be mapped according to the second task parameter and the preset routing rule. On the corresponding cloud computing platform, the first cloud computing platform can perform the task.

In this embodiment, after receiving the first computing task message, the proxy layer first parses the first task parameter included therein, so as to ensure that the parameters agreed with the user included in the first task parameter, such as a cloud computing platform, are ensured. And the area name and the like are converted into the second task parameter of the corresponding format recognizable by the first cloud computing platform, so that the first cloud computing platform can process the task.

As another specific embodiment of the present application, in combination with the foregoing embodiment, FIG. 4 is a flowchart after determining the type of the task according to the first computing task message in step 102, including:

Step 1023: Determine the type of the task according to the first computing task message.

Step 10231: When the type of the task is a preset type, convert the first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform.

Step 10232: When the type of the task is not a preset type, the task is processed according to a preset database.

After the type of the task is determined, it is determined whether the type of the task is a preset type. When the type of the task is not a preset type, the task is processed according to a preset database. The preset database is located on the bottom layer of the private cloud and the public cloud platform in the hybrid cloud system. The preset database contains resource information and data of each cloud platform. When the type of the task is not a preset type, for example, when the task is read. The data is directly read in the preset database, and the task is processed without converting the first task parameter into the second task parameter of the corresponding format recognizable by the first cloud computing platform.

In this embodiment, when the task type of the first computing task message is not the preset type of task type, for example, the task type of the first computing task message is a read data operation, and the first task parameter does not need to be converted into the first task parameter. The cloud computing platform can recognize the second task parameter of the corresponding format, but directly reads the data in the preset database, thereby improving the working efficiency of the hybrid cloud system.

As a specific embodiment of the embodiment of the present application, in combination with the foregoing embodiment, the foregoing method further includes: periodically updating a preset database by using a virtual private network. The preset database contains the resource information and data of each cloud platform. Since the resource information and data of each cloud platform are updated over time, the synchronization layer design is introduced, and the preset database is synchronously updated through the synchronization layer. The synchronization layer is the underlying component of each cloud platform. The synchronization layer can integrate the resource information of each cloud platform into a preset database, and the synchronization layer can also integrate the resource information and data of each cloud platform into a unified format data.

For example, the data formats on basic resources such as virtual machines and disks are basically the same, and do not need to be integrated into a unified format, and can be directly synchronized to a preset database. However, in some basic resources with different attributes, it is necessary to integrate the resource information and data into a unified format data and update it to the database of the corresponding component; due to the large difference in the storage of the network and the object, the structure of the database changes. Large, so the default database structure type needs to be designed to be compatible.

In order to avoid frequent reading of resource information of each cloud platform, the synchronization process may be set to periodically and periodically perform a synchronization process, and the synchronization layer may periodically read corresponding resource information through respective driving layers of each cloud platform. The method for providing the resource information according to the resource type is serialized according to the resource type; after the serialized resource type is marked as a source, it is stored in a preset database, and the method provided by the embodiment of the present application can be Run on distributed nodes at the same time, support different cloud platforms through horizontal expansion. The synchronization layer can periodically update the preset database through the virtual private network, and use the timing and periodic synchronization to complete the synchronization and update process through the virtual private network in a specific time period, and in all time periods, The resource information and data in the database can be read.

As a specific embodiment of the present application, the method after receiving the first computing task message in step 101 is as shown in FIG. 5, and further includes the following steps:

Step 104: Determine whether the first computing task message is a task message in a preset specification format.

After receiving the first computing task message, the agent layer determines whether it is a task message of a preset specification format. The task message of the preset specification format is a task message with a canonical format that can be directly read by the agent layer, and the agent layer can directly The first computing task message is read to obtain the task to be processed, the task parameter corresponding to the task, and the identification information of the first cloud computing platform corresponding to the task.

Step 105: When the first computing task message is not a task message in a preset specification format, the first computing task message is converted into a task message in a preset specification format.

When it is determined that the first computing task message is not a task message in a preset specification format, the first computing task message is converted into a task message in a preset specification format. In order to provide a task message with a more convenient and unified preset specification format to the proxy layer, the embodiment of the present application abstracts the task to be calculated and processed into a task message of a preset specification format, which may include: a unified specification task execution operation Rules; unified specification of abstract data types; unified standardization of distributed abstract data types to another abstract data type conversion method, wherein the data conversion format may include: one-to-one conversion map, filter conversion filter or many-to-one conversion reduce process, etc. .

In this embodiment, the proxy layer converts the first computing task message into a task message in a preset specification format, so that the task to be processed, the task parameter corresponding to the task, and the first cloud computing platform corresponding to the task can be obtained more conveniently and quickly. Identification information.

The embodiment of the present application further provides a task processing device. The schematic structural diagram of the device is as shown in FIG.

The receiving module 601 is configured to receive the first computing task message, where the first computing task message includes: a task to be processed, a task parameter corresponding to the task, and identifier information of the first cloud computing platform corresponding to the task;

The conversion module 602 is configured to determine a type of the task according to the first computing task message, and when the type of the task is a preset type, convert the first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform;

The sending module 603 is configured to send the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter.

The task processing apparatus provided by the embodiment of the present application receives the first computing task message, and converts the first task parameter included in the first computing task message into a second task parameter of a corresponding format recognizable by the first cloud computing platform, so that The first cloud computing platform is capable of identifying; sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter, and by calculating the agent layer component, the computing The task parameters of the task are converted into task parameters that can be calculated on the corresponding cloud computing platform, so that the cloud computing platform passes the post-conversion processing task of the proxy layer, and the method provided by the embodiment of the present application introduces the proxy layer design on the client side. Configuring an interface to interface with multiple cloud computing platforms, and processing tasks on different cloud computing platforms in a hybrid cloud system can improve the management and usage efficiency of the hybrid cloud system. In the embodiment of the present application, a schematic diagram of the structure of the conversion module 602, as shown in FIG. 7, includes:

The parsing submodule 6021 is configured to parse the first task parameter;

The first conversion sub-module 6022 is configured to convert the first task parameter parsed by the parsing sub-module 6021 into a second task parameter of a corresponding format recognizable by the first cloud computing platform.

In the embodiment of the present application, as shown in FIG. 8, the device may further include:

The processing module 604 is configured to process the task according to the preset database when the conversion module 602 determines that the type of the task is not the preset type.

In this embodiment of the present application, the apparatus may further include:

The update module is configured to periodically update the preset database through a virtual private network.

In the embodiment of the present application, as shown in FIG. 9, the device may further include:

The determining module 605 is configured to determine whether the first computing task message is a task message in a preset specification format;

The conversion module 606 is configured to convert the first computing task message into a task message of a preset specification format when the determining module 605 determines that the first computing task message is not a task message of a preset specification format.

It should be noted that the above device may be located in the proxy layer component of the hybrid cloud system, but is not limited thereto.

It should be noted that each module in the foregoing apparatus may be located in the same processor or in different processors, and is not limited.

The embodiment of the present application further provides a task processing system, as shown in FIG. 10, including: a proxy layer component 1001, a first cloud computing platform 1002,

The proxy layer component 1001 is configured to receive the first computing task message, where the first computing task message includes: a task to be processed, a task parameter corresponding to the task, and identifier information of the first cloud computing platform 1002 corresponding to the task, according to the first The computing task message determines the type of the task. When the type of the task is a preset type, the first task parameter is converted into a second task parameter of the corresponding format that the first cloud computing platform 1002 can identify, and the task and the second task parameter are Send to the first cloud computing platform 1002;

The first cloud computing platform 1002 is configured to receive the task and the second task parameter sent by the agent layer component 1001, and process the task according to the second task parameter.

The task processing system provided by the embodiment of the present application includes a proxy layer component and a first cloud computing platform, and the proxy layer component 1001 receives the first computing task message, and converts the first task parameter included in the first computing task message into the first The second task parameter of the corresponding format can be identified by the cloud computing platform, so that the first cloud computing platform can identify; the task and the second task parameter are sent to the first cloud computing platform, and the first cloud computing platform is configured according to the second task parameter. The task is processed, and the task parameters of the computing task are converted into task parameters that can be calculated on the corresponding cloud computing platform by introducing the agent layer component, so that the cloud computing platform passes the post-conversion processing task of the agent layer, and the application is implemented. The method provided by the example introduces the agent layer design, configures an interface on the client to connect with multiple cloud computing platforms, and implements tasks on different cloud computing platforms in the hybrid cloud system, which can improve the management and use of the hybrid cloud system. effectiveness.

In the embodiment of the present application, the proxy layer component 1001 is configured to parse the first task parameter, and convert the parsed first task parameter into a second task parameter corresponding to the cloud computing platform.

In the embodiment of the present application, the proxy layer component 1001 is further configured to process the task according to a preset database when the type of the task is not a preset type.

In the embodiment of the present application, the proxy layer component 1001 is further configured to periodically update a preset database through a virtual private network.

In the embodiment of the present application, the proxy layer component 1001 is further configured to determine whether the first computing task message is a task message of a preset specification format; when the first computing task message is not a task message of a preset specification format, the first The task message is converted into a task message in a preset canonical format.

In the embodiment of the present application, the first cloud computing platform 1002 is configured to process the task according to the second task parameter and a preset database.

The embodiment of the present application will be briefly described below by way of a specific example. 11 is an architectural diagram of an embodiment of the present application in an actual hybrid cloud system, including: a proxy layer component 1101, a network platform 1102, a computing platform 1103, a storage platform 1104, a big data platform 1105, a mirroring platform 1106, a physical machine platform 1107, The shared function module 1108, the shared function query module 1109, the independent function module 1110, the public cloud domain name 1111, and the private cloud service node 1112.

The proxy layer component 1101 is configured to receive request data of the tag cloud platform.

The proxy layer component 1101 receives the request data of the client tag cloud platform, where the request data of the tag cloud platform may include: a task to be processed, a task parameter corresponding to the task, and identifier information of the cloud platform corresponding to the task. The task to be processed may be an operation task that can be performed on the cloud computing platform, such as query, creation, update, and deletion; the task parameter corresponding to the task to be processed is a specific task content, for example, when the task to be processed is a query, then The task parameter corresponding to the task to be processed is the specific content of the query, and may be a query for the user account, querying the service data, etc.; when the task to be processed is updated, the task parameter corresponding to the task to be processed may be to update the specific service content. When the task to be processed is deleted, the task parameters corresponding to the task to be processed may be the specific content to be deleted and the deleted address. The proxy layer can determine the specific operations that can be performed on the cloud platform by using the task parameters corresponding to the task to be processed and the task. The identifier information of the cloud platform corresponding to the task to be processed is the processing selected by the user, that is, the processing received by the proxy layer component 1101. The only cloud platform for the task is the cloud platform that handles the task.

After receiving the request data of the tag cloud platform, the agent layer component 1101 converts the task parameters into the task parameters corresponding to the cloud platform according to the task parameters included in the request data. In the embodiment of the present application, six types of cloud platforms are provided, and the actual application is provided. Other types of cloud platforms can also be included. When the tag cloud platform included in the request data is one of the types, for example, the cloud platform 1103 is calculated, the agent layer component 1101 needs to convert the task parameters into task parameters corresponding to the computing cloud platform 1103; for the big data cloud platform 1105 The proxy layer component 1101 needs to convert the task parameters into task parameters corresponding to the big data cloud platform 1105, and other types of cloud computing platforms are similar.

The shared function module 1108 includes a public cloud and a private cloud computing platform, the shared function query module 1109 includes a public cloud and a private cloud computing platform, and the independent function module 1110 includes a public cloud and a private cloud computing platform;

The proxy layer component 1101 sends the request data and the converted task parameters to different modules according to different task types included in the request data, and the shared function module 1108, the shared function query module 1109, and the independent function module 1110 all include a public cloud and The private cloud computing platform, but the function of each module is different, wherein the shared function module 1108 can include a create, update, and delete task; the shared function query module 1109 is a query task; the independent function module 1110 is a public cloud and a private cloud computing platform. Independent function query task. Depending on the type of task, the agent layer component 1101 forwards the request data and the transformed task parameters to different cloud computing platforms in different functional modules.

The public cloud domain name 1111 is a domain name configured for the public cloud in the above three different functional modules, and the synchronization timing can be updated through the synchronization layer.

The private cloud service nodes 1112 are service nodes configured for private clouds in the above three different functional modules, and the synchronization timing can be updated through the synchronization layer.

The public cloud domain name 1111 and the private cloud service node 1112 can be obtained by collecting data in preset data.

The embodiment of the present application further provides an electronic device, as shown in FIG. 12, including a processor 1201 and a machine readable storage medium 1202. The machine readable storage medium 1202 stores machine executable instructions executable by the processor 1201. When the processor 1201 executes the machine executable instructions, the foregoing task processing steps are implemented, such as the following steps:

Receiving a first computing task message, where the first computing task message includes: a task to be processed, a task parameter corresponding to the task, and identifier information of the first cloud computing platform corresponding to the task;

Determining, according to the first computing task message, a type of the task, when the type of the task is a preset type, converting the first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform;

Sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter.

In the electronic device provided by the embodiment of the present application, the agent layer receives the first computing task message, and converts the first task parameter included in the first computing task message into a second task parameter of a corresponding format recognizable by the first cloud computing platform. So that the first cloud computing platform can identify; send the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter, and by introducing the agent layer component, The task parameters of the computing task are converted into task parameters that can be calculated on the corresponding cloud computing platform, so that the cloud computing platform passes the post-conversion processing task of the agent layer, and the method provided by the embodiment of the present application introduces the agent layer design in the client. The interface is configured to interface with multiple cloud computing platforms, and the tasks are processed on different cloud computing platforms in the hybrid cloud system, which can improve the management and usage efficiency of the hybrid cloud system.

The embodiment of the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program. When the computer program is executed by the processor, the task processing steps are implemented. For example, the task processing method steps provided as follows:

The computer readable storage medium provided by the embodiment of the present application is applied to a proxy layer component of a hybrid cloud system, and the proxy layer receives the first computing task message, and converts the first task parameter included in the first computing task message into the first a second task parameter of the corresponding format recognizable by the cloud computing platform, so that the first cloud computing platform can identify; sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform is configured according to the second task The parameter is used to process the task, and by introducing the agent layer component, the task parameter of the computing task is converted into a task parameter that can be calculated on the corresponding cloud computing platform, so that the cloud computing platform passes the post-conversion processing task of the agent layer. Applying the method provided by the embodiment, introducing a proxy layer design, configuring an interface on the client to connect with multiple cloud computing platforms, and implementing tasks on different cloud computing platforms in the hybrid cloud system can improve the management of the hybrid cloud system. And use efficiency.

It should be noted that the above-mentioned machine readable storage medium 1202 may be the same as or different from the above-mentioned computer readable storage medium, but is not limited thereto. The above machine executable instructions may be a computer program as a whole or may be considered as part of a computer program, but are not limited thereto.

The embodiment of the present application further provides a computer program product including instructions, when it is run on a computer, causing the computer to execute the above task processing method, for example, the task processing method provided as follows:

The computer program product including the instruction provided in the embodiment of the present application is applied to a proxy layer component of the hybrid cloud system, and the proxy layer receives the first computing task message, and converts the first task parameter included in the first computing task message into the first task parameter. a second task parameter of a corresponding format recognizable by the cloud computing platform, so that the first cloud computing platform can identify; sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform is configured according to the second The task parameter, the task is processed, and the task parameter of the computing task is converted into a task parameter that can be calculated on the corresponding cloud computing platform by introducing the agent layer component, so that the cloud computing platform processes the task through the proxy layer. The method provided by the embodiment of the present application introduces a proxy layer design, and configures an interface on the client to connect with multiple cloud computing platforms, and implements tasks on different cloud computing platforms in the hybrid cloud system, thereby improving the hybrid cloud system. Management and use efficiency.

The embodiment of the present application further provides a computer program, when it is run on a computer, causing the computer to execute the above task processing method, for example, the task processing method provided as follows:

The computer program provided in the embodiment of the present application is applied to the proxy layer component of the hybrid cloud system, and the proxy layer receives the first computing task message, and converts the first task parameter included in the first computing task message into the first cloud computing platform. Identifying a second task parameter of the corresponding format, so that the first cloud computing platform can identify; sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform is configured according to the second task parameter The task is processed, and the task parameters of the computing task are converted into task parameters that can be calculated on the corresponding cloud computing platform by using the agent layer component, so that the cloud computing platform can perform the post-conversion processing task of the proxy layer. The provided method introduces the agent layer design, configures an interface on the client to connect with multiple cloud computing platforms, and implements tasks on different cloud computing platforms in the hybrid cloud system, which can improve the management and use efficiency of the hybrid cloud system. .

The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; or may be a digital signal processing (DSP), dedicated integration. Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component.

It should be noted that the device, the system, the electronic device, the storage medium, the computer program product, and the computer program provided by the embodiments of the present application are respectively the device, the system, the electronic device, the storage medium, the computer program product, and the computer that apply the above task processing method. The program, then all the embodiments of the above task processing method are applicable to the device, system, electronic device, storage medium, computer program product, computer program, and all achieve the same or similar beneficial effects.

It should be noted that, in this context, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these entities or operations. There is any such actual relationship or order between them. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The various embodiments in the present specification are described in a related manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The above is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc., which are made within the spirit and principles of the present application, should be included in the present application. Within the scope of protection.

Industrial applicability

The task processing method, the device, the electronic device, and the storage medium provided by the embodiment of the present application convert the task parameters of the computing task into task parameters that can be calculated on the corresponding cloud computing platform by introducing a proxy layer component. The method provided by the embodiment of the present application introduces a proxy layer design, and configures an interface to connect with multiple cloud computing platforms on the client, and implements different in the hybrid cloud system. Processing tasks on the cloud computing platform can improve the management and usage efficiency of the hybrid cloud system.

Claims

A task processing method, wherein the method is applied to a proxy layer component of a hybrid cloud system, the method comprising:

Receiving a first computing task message, where the first computing task message includes: a task to be processed, a first task parameter corresponding to the task, and identifier information of the first cloud computing platform corresponding to the task;

Determining, according to the first computing task message, a type of the task, when the type of the task is a preset type, converting the first task parameter into a corresponding format that is identifiable by the first cloud computing platform Two task parameters;

And sending the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter.
The method of claim 1, wherein the converting the first task parameter to the second task parameter of the cloud computing platform corresponding format comprises:

Parsing the first task parameter;

Converting the parsed first task parameter into a second task parameter of a corresponding format recognizable by the first cloud computing platform.
The method of claim 1, wherein after the determining the type of the task according to the first computing task message, the method further comprises:

When the type of the task is not a preset type, the task is processed according to a preset database.
The method of claim 3, wherein the method further comprises:

The preset database is periodically updated through a virtual private network.
The method of claim 1, wherein after the receiving the first computing task message, the method further comprises:

Determining whether the first computing task message is a task message in a preset specification format;

And when the first computing task message is not a task message of a preset specification format, converting the first computing task message into a task message of the preset specification format.
A task processing device, wherein the device comprises:

The receiving module is configured to receive the first computing task message, where the first computing task message includes: a task to be processed, a first task parameter corresponding to the task, and an identifier of the first cloud computing platform corresponding to the task information;

a conversion module, configured to determine a type of the task according to the first computing task message, and when the type of the task is a preset type, converting the first task parameter into the first cloud computing platform The second task parameter of the corresponding format;

a sending module, configured to send the task and the second task parameter to the first cloud computing platform, so that the first cloud computing platform processes the task according to the second task parameter .
The apparatus of claim 6, wherein the conversion module comprises:

Parsing a submodule, configured to parse the first task parameter;

The first conversion submodule is configured to convert the first task parameter parsed by the parsing submodule into a second task parameter of a corresponding format recognizable by the first cloud computing platform.
The apparatus of claim 6 wherein said apparatus further comprises:

The processing module is configured to: when the conversion module determines that the type of the task is not a preset type, process the task according to a preset database.
The apparatus of claim 8 wherein said apparatus further comprises:

The update module is configured to periodically update the preset database through a virtual private network.
The apparatus of claim 6 wherein said apparatus further comprises:

a determining module, configured to determine whether the first computing task message is a task message in a preset specification format;

The conversion module is configured to convert the first computing task message into the task message of the preset specification format when the determining module determines that the first computing task message is not a task message of a preset specification format.
A task processing system, wherein the system comprises: a proxy layer component, a first cloud computing platform,

The proxy layer component is configured to receive a first computing task message, where the first computing task message includes: a task to be processed, a first task parameter corresponding to the task, and a first cloud computing corresponding to the task The identifier information of the platform is determined according to the first computing task message, and when the type of the task is a preset type, the first task parameter is converted into the first cloud computing platform. a second task parameter of the corresponding format, sending the task and the second task parameter to the first cloud computing platform;

The first cloud computing platform is configured to receive the task and the second task parameter sent by the proxy layer component, and process the task according to the second task parameter.
The system of claim 11, wherein the proxy layer component is specifically configured to parse the first task parameter; convert the parsed first task parameter into a identifiable by the first cloud computing platform The second task parameter of the corresponding format.
The system of claim 11, wherein the proxy layer component is further configured to process the task according to a preset database when the type of the task is not a preset type.
The system of claim 13 wherein said proxy layer component is further configured to periodically update said predetermined database via a virtual private network.
The system according to claim 11, wherein the proxy layer component is further configured to determine whether the first computing task message is a task message in a preset specification format;

And when the first computing task message is not a task message of a preset specification format, converting the first computing task message into a task message of the preset specification format.
The system of claim 13, wherein the first cloud computing platform is specifically configured to process the task according to the second task parameter and a preset database.
An electronic device, comprising a processor and a machine readable storage medium, the machine readable storage medium storing machine executable instructions executable by the processor, the processor executing the machine executable instructions The method steps of any of claims 1-5 are achieved.
A computer readable storage medium, wherein the computer readable storage medium stores a computer program, the computer program being executed by a processor to implement the method steps of any of claims 1-5.
A computer program product comprising instructions, wherein the computer program product comprising instructions, when run on a computer, causes the computer to perform the method steps of any of claims 1-5.
A computer program, wherein the computer program, when run on a computer, causes the computer to perform the method steps of any of claims 1-5.