CN111679886A - Heterogeneous computing resource scheduling method, system, electronic device and storage medium - Google Patents
Heterogeneous computing resource scheduling method, system, electronic device and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
Abstract
The invention discloses a heterogeneous computing resource scheduling method, a heterogeneous computing resource scheduling system, electronic equipment and a storage medium. When the method is applied to the server, the method comprises the following steps: receiving a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by a platform identifier and a cluster identifier; receiving result data fed back by the target cluster; and carrying out format conversion on the result data according to a preset format, and outputting the converted data to a WEB front end.
Description
Technical Field
The embodiment of the invention relates to a cloud computing technology, in particular to a heterogeneous computing resource scheduling method, a heterogeneous computing resource scheduling system, electronic equipment and a storage medium.
Background
With the development of cloud computing technology, more and more cloud platforms, such as private platforms, public platforms, hybrid platforms, and the like, appear. Each cloud platform has a respective computing resource scheduling method and provides respective Restful APIs, Web interfaces and abstract ways of virtual resources. However, in the actual use process, there is a case that computing resources of cloud platforms with different architectures are used at the same time, and at this time, a scheduling method capable of providing computing resources of heterogeneous platforms is lacked, and the resource utilization rate is low.
Disclosure of Invention
The invention provides a heterogeneous computing resource scheduling method, a heterogeneous computing resource scheduling system, electronic equipment and a storage medium, and aims to improve the resource utilization rate in a heterogeneous cloud platform resource access scene.
In a first aspect, an embodiment of the present invention provides a method for scheduling heterogeneous computing resources, which is applied to a server, and includes:
receiving a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters;
carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification;
sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by a platform identifier and a cluster identifier;
receiving result data fed back by the target cluster;
and carrying out format conversion on the result data according to a preset format, and outputting the converted data to a WEB front end.
In a second aspect, an embodiment of the present invention further provides a method for scheduling heterogeneous computing resources, which is applied to a WEB front end, and includes:
displaying a scheduling interface of computing resources of the heterogeneous platform;
generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
sending the resource scheduling request to a server so that the server can send the resource scheduling request to a target cluster represented by the platform identifier and the cluster identifier, and sending result data fed back by the target cluster to a WEB front end;
and receiving the converted result data sent by the server and outputting the converted result data.
In a third aspect, an embodiment of the present invention further provides a heterogeneous computing resource scheduling system, including a server and a WEB front end;
the WEB front end displays a scheduling interface of computing resources of the heterogeneous platform; generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier; sending the resource scheduling request to a server;
a server receives a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by a platform identifier and a cluster identifier; receiving result data fed back by the target cluster; carrying out format conversion on the result data according to a preset format, and outputting the converted result data to a WEB front end;
and the WEB front end receives the converted result data sent by the server and outputs the converted result data.
In a fourth aspect, an embodiment of the present invention further provides a heterogeneous computing resource scheduling apparatus, applied to a server, including:
the resource scheduling request receiving module is used for receiving a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
the analysis module is used for analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and a scheduling parameter;
the scheduling parameter conversion module is used for carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters matched with the platform identification;
the dispatching parameter sending module is used for sending the target dispatching parameter to a target cluster, and the target cluster is represented by the platform identifier and the cluster identifier;
the first result data receiving module is used for receiving result data fed back by the target cluster;
and the result data sending module is used for carrying out format conversion on the result data according to a preset format and outputting the converted data to the WEB front end.
In a fifth aspect, an embodiment of the present invention further provides a heterogeneous computing resource scheduling apparatus, which is applied to a WEB front end, and includes:
the interface display module is used for displaying a scheduling interface of the computing resources of the heterogeneous platform;
the resource scheduling request generating module is used for generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
the resource scheduling request sending module is used for sending the resource scheduling request to the server so that the server can send the resource scheduling request to the target cluster represented by the platform identifier and the cluster identifier, and the server sends result data fed back by the target cluster to the WEB front end;
the second result data receiving module is used for receiving the converted result data sent by the server;
the interface display module is also used for outputting the converted result data.
In a sixth aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the heterogeneous computing resource scheduling method according to the embodiment of the present application.
In a seventh aspect, an embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute the heterogeneous computing resource scheduling method according to the embodiment of the present application when executed by a computer processor.
According to the heterogeneous computing resource scheduling scheme provided by the embodiment of the application, a server can receive a resource scheduling request initiated by a WEB front end; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameters to a target cluster, and receiving result data fed back by the target cluster; and carrying out format conversion on the result data according to a preset format, and outputting the converted data to a WEB front end. The computing resources in the heterogeneous platform can be represented through the platform identification and the cluster identification, and the server can provide access to the virtual resources in the heterogeneous platform for the WEB front end, so that the resource utilization rate is improved.
Drawings
FIG. 1 is a flowchart illustrating a method for scheduling heterogeneous computing resources according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method for scheduling heterogeneous computing resources according to a second embodiment of the present invention;
FIG. 3 is a diagram illustrating a heterogeneous computing resource scheduling system according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a heterogeneous computing resource scheduling apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a heterogeneous computing resource scheduling apparatus according to a fifth embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device in a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a heterogeneous computing resource scheduling method according to an embodiment of the present invention, where this embodiment is applicable to a situation where a server manages and responds to computing resource scheduling in a heterogeneous platform, and the method may be executed by the server, and specifically includes the following steps:
and 110, receiving a resource scheduling request initiated by the WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier.
The embodiment of the application provides a network architecture based on a WEB front end and a server, a user initiates a resource scheduling request of heterogeneous computing resources through the WEB front end, and the server receives the resource scheduling request. The resource scheduling request is generated by a WEB front end, and generally comprises the address of the requested heterogeneous computing resource and a scheduling parameter. The WEB front end can send a resource scheduling request to the server through an HTTP protocol. Operations such as GET, PUT, POST, DELETE, etc. may be initiated based on the HTTP protocol.
Step 120, the resource scheduling request is analyzed to obtain a platform identifier, a cluster identifier and a scheduling parameter.
Based on the HTTP protocol structure, information such as a protocol header, an HTTP request body, a source address, a destination address, and the like can be identified. The scheduling parameters may be carried in the HTTP request body, or may be carried in the destination address. For example, when obtaining detailed information of a certain virtual machine, a SCENE field, a CLUSTER field, and a { id } field may be attached to a destination address, where the SCENE field indicates a heterogeneous platform where the virtual machine is located, such as OpenStack, VMWare, arrhizus, or AWS. The CLUSTER field indicates the CLUSTER in which the virtual machine resides. The { id } field is used to indicate the virtual machine identification of the request. The destination address URL may be GET davoid _ API/< SCENE >/< CLUSTER >/instance/{ id }, at this time. Wherein, the davoid _ API represents a server to which the scheme is applied.
Illustratively, the resource scheduling request is an HTTP request. At this time, step 120 may be performed by: analyzing a destination address in the HTTP request, and determining a platform identifier and a cluster identifier according to the destination address; and analyzing the information of the target position in the HTTP request to obtain the scheduling parameters, wherein the information of the target position comprises the Body of the request or the Param parameters in the URL of the destination address.
The different types of HTTP requests need different scheduling parameters, which may be carried in the request Body or Param parameters in the destination address URL according to usage requirements. During analysis, the target position can be found according to the definition of the HTTP to the message field, and then the information of the target position is analyzed to obtain the scheduling parameters. In the above example, the { id } field may be used as an example of a Param parameter in the destination address URL. By analyzing the information of different target positions, the scheduling parameters required by different types of operations can be acquired.
The destination address is used to point to the address to which the HTTP request is sent, and the address locates the cluster through the platform identifier and the cluster identifier. Thus by resolving the destination address URL, the platform identity and the cluster identity can be determined.
And step 130, carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification.
From the platform identification (OpenStack, VMWare, aliscloud, or AWS) determined in step 120, the data format of the platform usage data may be determined. And carrying out format conversion on the scheduling parameters according to the data format, so that the format of the target scheduling parameters obtained by conversion accords with the data format which can be identified by the target cluster.
And step 140, sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by the platform identifier and the cluster identifier.
The server can determine the target cluster according to the platform identification and the cluster identification. And sending the target scheduling parameters obtained in the step 130 to the target cluster.
And 150, receiving result data fed back by the target cluster.
And the target cluster executes corresponding operation based on the target scheduling parameters and feeds back result data to the server. The result data is related to the target scheduling parameters and the target cluster's own functions. For example, the target scheduling parameter is used to request to obtain detailed information of a certain virtual machine, and if the target cluster is a virtual machine management cluster, the result data is the detailed information of the virtual machine.
Illustratively, when a virtual machine initiates a create request, the required fields are shown in table 1.
TABLE 1
The format of the virtual machine information returned by the cluster may be:
and 160, converting the format of the result data according to a preset format, and outputting the converted data to the WEB front end.
The format conversion of the result data according to the preset format can be implemented by the following modes: determining a preset format according to a data output style of a WEB front end; and carrying out format conversion on the result data according to a preset format.
After receiving the result data, the result data needs to be fed back to the WEB front end. But the data output style in the output interface of the WEB front end may not be capable of directly outputting the result data. For example, the data sorting in the output interface is not the data sorting in the result data, and if the result data is directly sent to the WEB front end, the problems of data output dislocation and the like occur. Therefore, the preset format can be determined according to the data output style of the WEB front end, and then the format of the result data is converted by using the preset format. The format conversion includes replacement of the position of the sub data in the result data, sub data meaning conversion, and the like. The sub-data meaning conversion is to convert the serial number and other marks into a manually recognizable self-recognition language, or to perform translation among multiple languages.
Further, at present, the abstractions of resources of different cloud platforms may have some differences, for example, abstractions of virtual machines, some are "vm", some are "instance", and the like. Furthermore, the manner of calls to the abstract resources varies slightly (e.g., the parameters or addresses for the RESTful API requests vary). Thereby creating a barrier to the scheduling of computing resources for heterogeneous platforms. To solve this problem, step 110 is preceded by: abstracting computing resources in the heterogeneous platform to obtain virtual resources, wherein the virtual resources comprise: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources; and establishing an incidence relation between the virtual resources and the computing clusters in the heterogeneous platform.
Various computing resources in the heterogeneous platform can be abstracted and classified in the server to obtain virtual resources. The virtual resources can uniformly abstract the same type of resources in the heterogeneous platform to obtain the same virtual resources. For example: the abstract of the virtual machine is 'vm' in some cases and 'instance' in some cases, and the abstract of the application is 'vm' in a unified way. And further, the computing resources in the heterogeneous platform are integrated into uniform and abstract virtual resources, and the resource utilization rate is improved.
According to the heterogeneous computing resource scheduling method provided by the embodiment of the application, a server can receive a resource scheduling request initiated by a WEB front end; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameters to a target cluster, and receiving result data fed back by the target cluster; and carrying out format conversion on the result data according to a preset format, and outputting the converted data to a WEB front end. The computing resources in the heterogeneous platform can be represented through the platform identification and the cluster identification, and the server can provide access to the virtual resources in the heterogeneous platform for the WEB front end, so that the resource utilization rate is improved. In addition, after the user sends the resource scheduling request to the server through the WEB front end, the WEB front end displays result data output by the server, so that the user can send the resource scheduling request to different types of target clusters through the WEB front end and know a processing result fed back by the target clusters, and further visual and convenient virtual resource management is provided for the user.
Example two
Fig. 2 is a flowchart of a heterogeneous computing resource scheduling method according to a second embodiment of the present invention, where this embodiment is applicable to a case where a user schedules computing resources in a heterogeneous platform through a WEB front end, and the method may be executed by the WEB front end, and after the user inputs a website of the WEB front end in a browser, the user may log in to the WEB front end, where the method specifically includes the following steps:
and step 210, displaying a scheduling interface of the computing resources of the heterogeneous platform.
The user can access the WEB front end through the browser. Or the user installs the application program locally and displays the WEB front end in the page in the application program.
Further, before step 220, the method further includes: abstracting computing resources in the heterogeneous platform to obtain virtual resources, wherein the virtual resources comprise: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources; and establishing an incidence relation between the virtual resources and the computing clusters in the heterogeneous platform.
Besides uniform abstraction of computing resources in the server, users can abstract the computing resources in a heterogeneous platform through a WEB front end, and flexibility is improved.
Step 220, generating a resource scheduling request according to the virtual resource and target operation selected by the user in the scheduling interface, wherein the resource scheduling request carries the platform identifier and the cluster identifier.
The scheduling interface is used for providing a selection function and a calling function of virtual resources in the heterogeneous platform for a user, so that the user can complete the operation of computing resources by simply selecting or inputting keywords without inputting codes, and the usability is improved.
Illustratively, receiving a virtual resource selected by a user and a target operation of the virtual resource in a scheduling interface; determining a platform identifier and a cluster identifier according to the incidence relation between the virtual resource and a computing cluster in the heterogeneous platform; determining a scheduling parameter corresponding to the target operation according to the target operation; and generating a resource scheduling request according to the platform identifier, the cluster identifier and the scheduling parameter.
Illustratively, the following is the restful api address that requests details of a particular virtual machine under a certain scenario and cluster: GET davoid _ API/< SCENE >/< CLUSTER >/instance/{ id }.
Further, before generating the resource scheduling request according to the platform identifier, the cluster identifier, and the scheduling parameter, the method further includes:
acquiring RESTful API addresses of all computing resources; and configuring the obtained RESTful API address of the computing resource into a configuration file of the WEB front end so as to generate a resource scheduling request according to the RESTful API address of the computing resource.
The WEB front end needs to determine a destination address when generating a resource scheduling request. The destination address may be obtained from a configuration file. The configuration file is configured by a programmer in the early stage, and the incidence relation between the computing resource and the platform identifier and the cluster identifier is recorded. The platform identification and the cluster identification can be rapidly determined through the configuration file, and the processing efficiency is improved.
And step 230, sending the resource scheduling request to the server so that the server can send the resource scheduling request to the target cluster represented by the platform identifier and the cluster identifier, and sending result data fed back by the target cluster to the WEB front end.
The resource scheduling request may be sent to the server via the HTTP protocol.
And step 240, receiving the converted result data sent by the server, and outputting the converted result data.
And reading the data in the result data, and writing the read data into the corresponding position of the scheduling interface.
According to the heterogeneous computing resource scheduling method provided by the embodiment of the application, the WEB front end can send the resource scheduling request to the server, the resource scheduling request result is displayed according to the result data fed back by the server, the management of virtual resources in the heterogeneous platform can be provided for a user, and the resource utilization rate under the resource access scene of the heterogeneous cloud platform is improved.
EXAMPLE III
Fig. 3 is a schematic diagram of a heterogeneous computing resource scheduling system provided in an embodiment of the present application, where the system includes a server 301 and a WEB front end 302, where the server 301 may adopt the scheme in the first embodiment, and the WEB front end 302 may adopt the scheme in the second embodiment, specifically:
the WEB front end 302 displays a scheduling interface of computing resources of the heterogeneous platform; generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier; sending a resource scheduling request to server 301;
the server 301 receives a resource scheduling request initiated by the WEB front end 302, wherein the resource scheduling request carries a platform identifier and a cluster identifier; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameter to a target cluster 303, wherein the target cluster 303 is a cluster represented by a platform identifier and a cluster identifier; receiving result data fed back by the target cluster 303; performing format conversion on the result data according to a preset format, and outputting the converted result data to the WEB front end 302;
the WEB front end 302 receives the converted result data sent by the server 301 and outputs the converted result data.
Further, before generating a resource scheduling request according to the virtual resource and the target operation selected by the user in the scheduling interface, the WEB front-end 302 is further configured to:
abstracting computing resources in the heterogeneous platform to obtain virtual resources, wherein the virtual resources comprise: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources;
and establishing an incidence relation between the virtual resources and the computing clusters in the heterogeneous platform.
Further, the WEB front end 302 generates a resource scheduling request according to the virtual resource and target operation selected by the user in the scheduling interface, including:
receiving a virtual resource selected by a user and a target operation of the virtual resource in a scheduling interface;
determining a platform identifier and a cluster identifier according to the incidence relation between the virtual resource and a computing cluster in the heterogeneous platform;
determining a scheduling parameter corresponding to the target operation according to the target operation;
and generating a resource scheduling request according to the platform identifier, the cluster identifier and the scheduling parameter.
Further, before generating the resource scheduling request according to the platform identifier, the cluster identifier, and the scheduling parameter, the WEB front-end 302 is further configured to:
acquiring RESTful API addresses of all computing resources;
and configuring the obtained RESTful API address of the computing resource into a configuration file of the WEB front end 302 so as to generate a resource scheduling request according to the RESTful API address of the computing resource.
Further, the resource scheduling request is an HTTP request, and the server 301 parses the resource scheduling request to obtain the platform identifier, the cluster identifier, and the scheduling parameter, including:
analyzing a destination address in the HTTP request, and determining a platform identifier and a cluster identifier according to the destination address;
and analyzing the information of the target position in the HTTP request to obtain the scheduling parameters, wherein the information of the target position comprises the Body of the request or the Param parameters in the URL of the destination address.
Further, the server 301 performs format conversion on the result data according to a preset format, including:
determining a preset format according to the data output style of the WEB front end 302;
and carrying out format conversion on the result data according to a preset format.
In one usage scenario, the above scheme may be implemented by:
1. the heterogeneous computing resource scheduling scheme provided by the embodiment of the present application is deployed and operated in the server 301.
2. The RESTful API address that has been run is obtained (e.g., http:// 10.0.0.10/davoid _ API/< SCENE >/< CLUSTER >/instance).
3. And configuring information such as RESTful API addresses and the like into a configuration file of the WEB front end 302, and operating the WEB front end 302.
4. Clicking on a scheduling interface of the WEB front end 302 to create a virtual machine (for example: creating in a cluster1 of an openstack scene). The POST request address of the WEB program is as follows: http:// 10.0.0.10/davoid _ API/openstack/cluster 1/instance;
5. after receiving the resource scheduling request, the server 301 parses the parameter;
6. and carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification.
7. The target scheduling parameter is sent to the target cluster 303. For example, the request is forwarded to cluster1 of the openstack cloud platform.
8. And acquiring result data responded from the openstack cloud platform, and performing data format conversion on the result data according to the preset data format.
9. And outputting the converted data to the WEB front end 302.
10, the WEB front end 302 displays the converted data, that is, a virtual machine is already created on the cluster1 of the openstack cloud platform.
In the method for scheduling heterogeneous computing resources provided by the embodiment of the application, the WEB front end 302 displays a scheduling interface of computing resources of a heterogeneous platform; generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier; the resource scheduling request is sent to the server 301. The server 301 can receive a resource scheduling request initiated by the WEB front end 302; analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameter to the target cluster 303, and receiving result data fed back by the target cluster 303; and converting the format of the result data according to a preset format, and outputting the converted data to the WEB front end 302. The WEB front end 302 receives the converted result data sent by the server 301 and outputs the converted result data. The computing resources in the heterogeneous platform can be represented through the platform identifier and the cluster identifier, and the server 301 can provide access to the virtual resources in the heterogeneous platform for the WEB front end 302, so that the resource utilization rate is improved. In addition, after the WEB front end 302 sends the resource scheduling request to the server 301, the resource scheduling request result is displayed according to the result data fed back by the server 301, so that management of virtual resources in the heterogeneous platform can be provided for a user, and the resource utilization rate in the resource access scene of the heterogeneous cloud platform is improved.
Example four
Fig. 4 is a schematic structural diagram of an apparatus for scheduling heterogeneous computing resources according to an embodiment of the present application, where the apparatus is applied to a server, and the apparatus includes: a resource scheduling request receiving module 401, an analyzing module 402, a scheduling parameter converting module 403, a scheduling parameter sending module 404, a first result data receiving module 405, and a result data sending module 406, where:
a resource scheduling request receiving module 401, configured to receive a resource scheduling request initiated by a WEB front end, where the resource scheduling request carries a platform identifier and a cluster identifier;
an analyzing module 402, configured to analyze the resource scheduling request to obtain a platform identifier, a cluster identifier, and a scheduling parameter;
a scheduling parameter converting module 403, configured to perform format conversion on the scheduling parameter according to the platform identifier to obtain a target scheduling parameter adapted to the platform identifier;
a scheduling parameter sending module 404, configured to send the target scheduling parameter to a target cluster, where the target cluster is a cluster represented by the platform identifier and the cluster identifier;
a first result data receiving module 405, configured to receive result data fed back by the target cluster;
and the result data sending module 406 is configured to perform format conversion on the result data according to a preset format, and output the converted data to the WEB front end.
Further, the resource scheduling request is an HTTP request, and the parsing module 402 is configured to:
analyzing a destination address in the HTTP request, and determining a platform identifier and a cluster identifier according to the destination address;
and analyzing the information of the target position in the HTTP request to obtain the scheduling parameters, wherein the information of the target position comprises the Body of the request or the Param parameters in the URL of the destination address.
Further, the result data sending module 406 is configured to:
determining a preset format according to a data output style of a WEB front end;
and carrying out format conversion on the result data according to a preset format.
In the heterogeneous computing resource scheduling apparatus provided in the embodiment of the present application, the resource scheduling request receiving module 401 receives a resource scheduling request initiated by a WEB front end; the parsing module 402 parses the resource scheduling request to obtain a platform identifier, a cluster identifier and a scheduling parameter; the scheduling parameter conversion module 403 performs format conversion on the scheduling parameter according to the platform identifier to obtain a target scheduling parameter adapted to the platform identifier; a scheduling parameter sending module 404 sends a target scheduling parameter to a target cluster, and a first result data receiving module 405 receives result data fed back by the target cluster; the result data sending module 406 performs format conversion on the result data according to a preset format, and outputs the converted data to the WEB front end. The computing resources in the heterogeneous platform can be represented through the platform identification and the cluster identification, and the server can provide access to the virtual resources in the heterogeneous platform for the WEB front end, so that the resource utilization rate is improved.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a heterogeneous computing resource scheduling apparatus according to an embodiment of the present application, where the apparatus is applied to a WEB front end, and includes: an interface display module 501, a resource scheduling request generation module 502, a resource scheduling request sending module 503, and a second result data receiving module 504, wherein:
the interface display module 501 is configured to display a scheduling interface of computing resources of a heterogeneous platform;
a resource scheduling request generating module 502, configured to generate a resource scheduling request according to virtual resource and target operations selected by a user in a scheduling interface, where the resource scheduling request carries a platform identifier and a cluster identifier;
a resource scheduling request sending module 503, configured to send a resource scheduling request to a server, so that the server sends the resource scheduling request to a target cluster represented by the platform identifier and the cluster identifier, and the server sends result data fed back by the target cluster to a WEB front end;
a second result data receiving module 504, configured to receive the converted result data sent by the server;
the interface display module 501 is further configured to output the converted result data.
Further, the system further comprises an abstraction module, configured to abstract the computing resources in the heterogeneous platform to obtain virtual resources, where the virtual resources include: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources;
and establishing an incidence relation between the virtual resources and the computing clusters in the heterogeneous platform.
Further, the resource scheduling request generating module 502 is configured to:
receiving a virtual resource selected by a user and a target operation of the virtual resource in a scheduling interface;
determining a platform identifier and a cluster identifier according to the incidence relation between the virtual resource and a computing cluster in the heterogeneous platform;
determining a scheduling parameter corresponding to the target operation according to the target operation;
and generating a resource scheduling request according to the platform identifier, the cluster identifier and the scheduling parameter.
Further, the resource scheduling request generating module 502 is configured to:
acquiring RESTful API addresses of all computing resources;
and configuring the obtained RESTful API address of the computing resource into a configuration file of the WEB front end so as to generate a resource scheduling request according to the RESTful API address of the computing resource.
In the scheduling apparatus for heterogeneous computing resources provided in the embodiment of the present application, the interface display module 501 displays a scheduling interface of computing resources of a heterogeneous platform; the resource scheduling request generating module 502 generates a resource scheduling request according to the virtual resource and target operation selected by the user in the scheduling interface; a resource scheduling request sending module 503, configured to send a resource scheduling request to the server, and a second result data receiving module 504 receives the converted result data sent by the server; the interface display module 501 is further configured to output the converted result data, so as to provide management of virtual resources in the heterogeneous platform for a user, and improve resource utilization rate in a resource access scene of the heterogeneous cloud platform
The heterogeneous computing resource scheduling device provided by the embodiment of the invention can execute the heterogeneous computing resource scheduling method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 6 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention, as shown in fig. 6, the electronic device includes a processor 60, a memory 61, an input device 62, and an output device 63; the number of the processors 60 in the electronic device may be one or more, and one processor 60 is taken as an example in fig. 6; the processor 60, the memory 61, the input device 62 and the output device 63 in the electronic apparatus may be connected by a bus or other means, and the bus connection is exemplified in fig. 6.
The memory 61 serves as a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the heterogeneous computing resource scheduling method in the embodiment of the present invention (for example, a resource scheduling request receiving module 401, a parsing module 402, a scheduling parameter converting module 403, a scheduling parameter transmitting module 404, a first result data receiving module 405, and a result data transmitting module 406, which are included when the electronic device serves as a server, and an interface display module 501, a resource scheduling request generating module 502, a resource scheduling request transmitting module 503, and a second result data receiving module 504, which are included when the electronic device serves as a WEB front end). The processor 60 executes various functional applications and data processing of the electronic device by executing software programs, instructions and modules stored in the memory 61, that is, implements the heterogeneous computing resource scheduling method described above.
The memory 61 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 61 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 61 may further include memory located remotely from the processor 60, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 62 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic apparatus. The output device 63 may include a display device such as a display screen.
EXAMPLE seven
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for scheduling heterogeneous computing resources, where the method is applied to a server, and the method includes:
receiving a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
analyzing the resource scheduling request to obtain a platform identifier, a cluster identifier and scheduling parameters;
carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification;
sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by a platform identifier and a cluster identifier;
receiving result data fed back by the target cluster;
and carrying out format conversion on the result data according to a preset format, and outputting the converted data to a WEB front end.
Further, the resource scheduling request is an HTTP request, and the analyzing of the resource scheduling request to obtain the platform identifier, the cluster identifier, and the scheduling parameter includes:
analyzing a destination address in the HTTP request, and determining a platform identifier and a cluster identifier according to the destination address;
and analyzing the information of the target position in the HTTP request to obtain the scheduling parameters, wherein the information of the target position comprises the Body of the request or the Param parameters in the URL of the destination address.
Further, performing format conversion on the result data according to a preset format, including:
determining a preset format according to a data output style of a WEB front end;
and carrying out format conversion on the result data according to a preset format.
When the method is applied to the WEB front end, the method comprises the following steps:
displaying a scheduling interface of computing resources of the heterogeneous platform;
generating a resource scheduling request according to virtual resource and target operation selected by a user in a scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
sending the resource scheduling request to a server so that the server can send the resource scheduling request to a target cluster represented by the platform identifier and the cluster identifier, and sending result data fed back by the target cluster to a WEB front end;
and receiving the converted result data sent by the server and outputting the converted result data.
Further, before generating a resource scheduling request according to the virtual resource and the target operation selected by the user in the scheduling interface, the method further includes:
abstracting computing resources in the heterogeneous platform to obtain virtual resources, wherein the virtual resources comprise: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources;
and establishing an incidence relation between the virtual resources and the computing clusters in the heterogeneous platform.
Further, generating a resource scheduling request according to the virtual resource and target operation selected by the user in the scheduling interface, including:
receiving a virtual resource selected by a user and a target operation of the virtual resource in a scheduling interface;
determining a platform identifier and a cluster identifier according to the incidence relation between the virtual resource and a computing cluster in the heterogeneous platform;
determining a scheduling parameter corresponding to the target operation according to the target operation;
and generating a resource scheduling request according to the platform identifier, the cluster identifier and the scheduling parameter.
Further, before generating the resource scheduling request according to the platform identifier, the cluster identifier, and the scheduling parameter, the method includes:
acquiring RESTful API addresses of all computing resources;
and configuring the obtained RESTful API address of the computing resource into a configuration file of the WEB front end so as to generate a resource scheduling request according to the RESTful API address of the computing resource.
Of course, the storage medium containing the computer-executable instructions provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the heterogeneous computing resource scheduling method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (12)
1. A heterogeneous computing resource scheduling method is applied to a server and comprises the following steps:
receiving a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
analyzing the resource scheduling request to obtain the platform identification, the cluster identification and the scheduling parameter;
carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification;
sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by the platform identifier and the cluster identifier;
receiving result data fed back by the target cluster;
and carrying out format conversion on the result data according to a preset format, and outputting the converted data to the WEB front end.
2. The method of claim 1, wherein the resource scheduling request is an HTTP request, and the parsing the resource scheduling request to obtain the platform identifier, the cluster identifier, and the scheduling parameter comprises:
analyzing a destination address in the HTTP request, and determining the platform identifier and the cluster identifier according to the destination address;
and analyzing the information of the target position in the HTTP request to obtain scheduling parameters, wherein the information of the target position comprises a request Body or Param parameters in a destination address URL.
3. The method of claim 1, wherein converting the format of the result data according to a predetermined format comprises:
determining the preset format according to the data output style of the WEB front end;
and carrying out format conversion on the result data according to the preset format.
4. A heterogeneous computing resource scheduling method is applied to a WEB front end and comprises the following steps:
displaying a scheduling interface of computing resources of the heterogeneous platform;
generating a resource scheduling request according to virtual resource and target operation selected by a user in the scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier;
sending the resource scheduling request to a server so that the server can send the resource scheduling request to a target cluster represented by the platform identifier and the cluster identifier, and sending result data fed back by the target cluster to the WEB front end by the server;
and receiving the converted result data sent by the server and outputting the converted result data.
5. The method of claim 4, further comprising, prior to generating a resource scheduling request based on the virtual resource and target operations selected by the user in the scheduling interface:
abstracting computing resources in a heterogeneous platform to obtain virtual resources, wherein the virtual resources comprise: virtual machine resources, cloud hard disk resources, cloud mirror resources, cloud network resources, cloud snapshot resources, template resources, orchestration resources, user resources, or monitoring resources;
and establishing an incidence relation between the virtual resource and a computing cluster in the heterogeneous platform.
6. The method of claim 5, wherein generating a resource scheduling request according to the virtual resource and target operation selected by the user in the scheduling interface comprises:
receiving a virtual resource selected by a user and a target operation of the virtual resource in the scheduling interface;
determining a platform identifier and a cluster identifier according to the incidence relation between the virtual resource and a computing cluster in the heterogeneous platform;
determining a scheduling parameter corresponding to the target operation according to the target operation;
and generating a resource scheduling request according to the platform identifier, the cluster identifier and the scheduling parameter.
7. The method of claim 6, prior to generating a resource scheduling request based on the platform identifier, the cluster identifier, and the scheduling parameter, comprising:
acquiring RESTful API addresses of all computing resources;
and configuring the acquired RESTful API address of the computing resource into a configuration file of a WEB front end so as to generate the resource scheduling request according to the RESTful API address of the computing resource.
8. A heterogeneous computing resource scheduling system is characterized by comprising a server and a WEB front end;
the WEB front end displays a scheduling interface of computing resources of the heterogeneous platform; generating a resource scheduling request according to virtual resource and target operation selected by a user in the scheduling interface, wherein the resource scheduling request carries a platform identifier and a cluster identifier; sending the resource scheduling request to a server;
the server receives a resource scheduling request initiated by a WEB front end, wherein the resource scheduling request carries a platform identifier and a cluster identifier; analyzing the resource scheduling request to obtain the platform identification, the cluster identification and the scheduling parameter; carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification; sending the target scheduling parameter to a target cluster, wherein the target cluster is represented by the platform identifier and the cluster identifier; receiving result data fed back by the target cluster; carrying out format conversion on the result data according to a preset format, and outputting the converted result data to the WEB front end;
and the WEB front end receives the converted result data sent by the server and outputs the converted result data.
9. A heterogeneous computing resource scheduling apparatus, applied to a server, includes:
a resource scheduling request receiving module, configured to receive a resource scheduling request initiated by a WEB front end, where the resource scheduling request carries a platform identifier and a cluster identifier;
the analysis module is used for analyzing the resource scheduling request to obtain the platform identifier, the cluster identifier and the scheduling parameter;
the scheduling parameter conversion module is used for carrying out format conversion on the scheduling parameters according to the platform identification to obtain target scheduling parameters adaptive to the platform identification;
a scheduling parameter sending module, configured to send the target scheduling parameter to a target cluster, where the target cluster is a cluster represented by the platform identifier and the cluster identifier;
a first result data receiving module, configured to receive result data fed back by the target cluster;
and the result data sending module is used for carrying out format conversion on the result data according to a preset format and outputting the converted data to the WEB front end.
10. A heterogeneous computing resource scheduling device applied to a WEB front end comprises:
the interface display module is used for displaying a scheduling interface of the computing resources of the heterogeneous platform;
a resource scheduling request generating module, configured to generate a resource scheduling request according to virtual resource and target operations selected by a user in the scheduling interface, where the resource scheduling request carries a platform identifier and a cluster identifier;
a resource scheduling request sending module, configured to send the resource scheduling request to a server, so that the server sends the resource scheduling request to a target cluster represented by the platform identifier and the cluster identifier, and the server sends result data fed back by the target cluster to the WEB front end;
the second result data receiving module is used for receiving the converted result data sent by the server;
the interface display module is also used for outputting the converted result data.
11. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the heterogeneous computing resource scheduling method of any of claims 1-7.
12. A storage medium containing computer-executable instructions for performing the heterogeneous computing resource scheduling method of any one of claims 1-7 when executed by a computer processor.
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