CN113645262A - Cloud computing service system and method - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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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]
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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]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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Abstract
The invention discloses a cloud computing service system and a method, wherein the cloud computing service system comprises: a first cloud platform comprising a plurality of dedicated service nodes; a second cloud platform comprising a plurality of shared service nodes; the cloud management and control platform is used for receiving a cloud service request which is submitted by a user and contains a plurality of subtasks; determining a target service node corresponding to the subtask so as to provide service resources for the subtask through the target service node; the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform. Based on the embodiment of the invention, the cloud management and control platform can allocate different types of service node resources of the first cloud platform or the second cloud platform to a plurality of subtasks contained in the cloud service request of the user, so that the mixed arrangement of the cloud service resources is realized, idle resources in the shared service nodes are effectively utilized, the resource waste is avoided, and an economic resource arrangement strategy is provided for the user.
Description
Technical Field
The invention relates to the field of communication, in particular to a cloud computing service system and a cloud computing service method.
Background
The cloud computing service is an emerging distributed service computing mode, and users can purchase services of different specifications according to own requirements, so that the cost is greatly saved, and the reliability and the convenience are improved.
Nowadays, electronic devices such as smart phones, set top boxes, personal computers, and the like have higher and higher configuration specifications and higher computing capabilities. However, in daily use, only a small portion of the resources (e.g., computing resources, storage resources, etc.) of such electronic devices are often utilized, and a large portion of the resources are idle. Therefore, idle resources of the electronic equipment can be shared to provide cloud computing services, so that waste of the resources is avoided.
However, such devices sharing idle resources generally cannot process some tasks with high requirements on computing, so that a cloud platform built based on the devices sharing idle resources can process limited cloud service operations, and the utilization rate of the idle resources is still low.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The embodiment of the invention provides a cloud computing service system, a cloud computing service method, electronic equipment and an electronic equipment storage medium, which can realize mixed arrangement of cloud service resources of different types of cloud platforms and improve the resource utilization rate.
In one aspect, an embodiment of the present invention provides a cloud computing service system, including:
a first cloud platform comprising a plurality of dedicated service nodes;
a second cloud platform comprising a plurality of shared service nodes;
the cloud management and control platform is used for receiving a cloud service request which is submitted by a user and contains a plurality of subtasks, determining a target service node corresponding to the subtasks, and providing service resources for the subtasks through the target service node;
the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform.
On the other hand, the embodiment of the invention provides a cloud computing service method, which is applied to a cloud management and control platform of a cloud computing service system, wherein the cloud computing service system further comprises a first cloud platform and a second cloud platform, the first cloud platform comprises a plurality of exclusive service nodes, and the second cloud platform comprises a plurality of shared service nodes; the method comprises the following steps:
receiving a cloud service request which is submitted by a user and contains a plurality of subtasks;
determining a target service node corresponding to the subtask so as to provide service resources for the subtask through the target service node;
the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform.
In another aspect, an embodiment of the present invention provides an electronic device, including:
a memory for storing a program;
a processor for executing the memory-stored program, the processor for executing the cloud computing service method as described above when the processor executes the memory-stored program.
In still another aspect, an embodiment of the present invention provides a storage medium storing computer-executable instructions, where the computer-executable instructions are configured to execute the cloud computing service method described above.
The embodiment of the invention comprises the following steps: receiving a cloud service request which is submitted by a user and contains a plurality of subtasks; determining a target service node corresponding to the subtask so as to provide service resources for the subtask through the target service node; the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform. Based on the embodiment of the invention, the cloud management and control platform can flexibly allocate different types of service node resources of the first cloud platform or the second cloud platform for a plurality of subtasks contained in the cloud service request of the user, realize the hybrid arrangement of the cloud service resources, effectively utilize idle resources in the shared service nodes, avoid the resource waste and provide an economic resource arrangement strategy for the user.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is an architecture diagram of a cloud computing service system provided in an embodiment of the present invention;
fig. 2 is a flowchart of a cloud computing service method according to an embodiment of the present invention;
FIG. 3 is a flow chart of another cloud computing service method provided by the embodiment of the invention;
FIG. 4 is a flow chart of another cloud computing service method provided by the embodiment of the invention;
fig. 5 is a flowchart of a method for deploying the subtasks on the corresponding target service node according to the embodiment of the present invention;
FIG. 6 is a flow chart of another cloud computing service method provided by the embodiments of the present invention;
fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be understood that in the description of the embodiments of the present invention, a plurality (or a plurality) means two or more, more than, less than, more than, etc. are understood as excluding the number, and more than, less than, etc. are understood as including the number. If the description of "first", "second", etc. is used for the purpose of distinguishing technical features, it is not intended to indicate or imply relative importance or to implicitly indicate the number of indicated technical features or to implicitly indicate the precedence of the indicated technical features.
Nowadays, electronic devices such as smart phones, set top boxes, personal computers, and the like have higher and higher configuration specifications and higher computing capabilities. However, in daily use, only a small portion of the resources (e.g., computing resources, storage resources, etc.) of such electronic devices are often utilized, and a large portion of the resources are idle. Therefore, idle resources of the electronic equipment can be shared to provide cloud service, so that waste of the resources is avoided, and the utilization rate of the resources is improved.
However, such devices sharing idle resources generally cannot process tasks with high computational requirements, so that the cloud platform built based on the devices sharing idle resources has limited processing operations, and the utilization rate of the idle resources is still low.
In addition, the current cloud platform built based on the equipment sharing idle resources is mutually independent from the traditional cloud platform, and the cloud service resources of the two cloud platforms cannot be mixed and arranged.
Based on this, the embodiment of the invention provides a cloud computing service system, a cloud computing service method, an electronic device and an electronic device storage medium, which can realize mixed arrangement of cloud service resources of different types of cloud platforms and improve the resource utilization rate.
Fig. 1 shows an architecture diagram of a cloud computing service system according to an embodiment of the present invention. As shown in fig. 1, the cloud computing service system according to the embodiment of the present invention includes a first cloud platform 10, a second cloud platform 20, and a cloud management and control platform 30.
In this embodiment, the first cloud platform 10 includes a plurality of dedicated service nodes 11. Here, the dedicated service node 11 is configured such that the computing resources are used only for providing the cloud service. Normally, the dedicated service node 11 is disposed in a machine room of a cloud service provider. The dedicated service node 11 may be a physical device such as a server, a storage device, a network device, and the like. It should be understood that the first cloud Platform 10 may be provided in a plurality of types, and may specifically include an Infrastructure as a Service (IaaS) -based cloud Platform, a Platform as a Service (PaaS) -based cloud Platform, and the like, where different types of the first cloud Platform 10 are used to provide different types of cloud services.
In this embodiment, the second cloud platform 20 includes a plurality of shared service nodes 21. The shared service node 21 is configured to provide cloud services using idle resources (e.g., computing resources, storage resources, etc.). The shared computing node may be a physical device such as a smart phone, a tablet computer, a set-top box, a personal computer, and a home appliance.
For example, the service nodes of the first cloud platform 10 and the second cloud platform 20 may be respectively interconnected with the cloud management and control platform 30 through a network, and register with the cloud management and control platform 30, so as to schedule and manage the underlying physical resources of the first cloud platform 10 and the second cloud platform 20 through the cloud management and control platform 30.
In this embodiment, the cloud management and control platform 30 is configured to receive a cloud service request including multiple subtasks submitted by a user, determine a target service node corresponding to the subtask, and provide a service resource for the subtask through the target service node; wherein the target service node is an exclusive service node 11 in the first cloud platform 10 or a shared service node 21 in the second cloud platform 20.
For example, the cloud management and control platform 30 may provide a user with an entrance for accessing the cloud computing service system, provide a mixed arrangement of multiple types of cloud platform resources, and allow the user to arrange desired tasks. The user may submit his/her own cloud service request through the cloud management and control platform 30. The cloud service requested by the user can be divided into a plurality of subtasks, and each subtask is distributed to different service nodes to be executed so as to realize distributed computing by utilizing the resources of the corresponding service node. In this embodiment, the target service node corresponding to each subtask may be a service node in a different type of cloud platform. Specifically, the target service node may be an exclusive service node 11 in the first cloud platform 10 or a shared service node 21 in the second cloud platform 20, thereby implementing a hybrid orchestration of resources of the first cloud platform 10 and the second cloud platform 20.
For example, a cloud service request submitted by a user includes a subtask a, a subtask B, and a subtask C, and target service nodes corresponding to the subtask a, the subtask B, and the subtask C are a first dedicated service node, a first shared service node, and a second dedicated service node, respectively.
In some embodiments, the cloud management and control platform 30 is further configured to collect basic information of the dedicated service node 11 in the first cloud platform 10 and the shared service node 21 in the second cloud platform 20, so as to manage resources of the first cloud platform 10 and the second cloud platform 20, and match appropriate service nodes for the subtasks based on the basic information of each service node.
By way of example, the basic information of the service node may include information of an operating system, a CPU, memory specifications, supported data types, and the like.
For example, the cloud management and control platform 30 determines a target service node corresponding to a subtask, which may specifically include: acquiring basic information of the subtasks, wherein the basic information of the subtasks comprises the running requirements of the subtasks; matching the subtask operation requirement with the basic information of each service node to obtain a target service node corresponding to the subtask.
By way of example, the operating requirements of the subtasks may include operating system requirements, CPU and memory specifications, and the like. Based on the operation requirements of the subtasks and the basic information of each service node in the first cloud platform 10 and the second cloud platform 20, a suitable service node can be matched for each subtask, so that a target service node corresponding to each subtask is determined, and service resources of the first cloud platform 10 or the second cloud platform 20 are arranged in a mixed manner according to the operation requirements of each subtask. Therefore, reasonable configuration of resources can be achieved, and a more economic resource arranging strategy is provided for users.
In some embodiments, the cloud management platform 30 is further configured to deploy the subtasks on the corresponding target service nodes. And after the target service node corresponding to each subtask is determined, deploying the corresponding subtask on the target service node to complete the creation of the cloud service.
For example, the cloud management and control platform 30 deploys the subtasks on the corresponding target service nodes, which may specifically include: acquiring deployment topology description information of the subtasks, wherein the deployment topology description information comprises: subtask source and deployment run script; acquiring an installation file corresponding to the subtask according to the subtask source of the subtask; and installing the installation file on the target service node corresponding to the subtask through the deployment operation script of the subtask. In this way, each subtask can be deployed on the respectively matched target service node.
In some embodiments, the cloud management platform 30 is further configured to: acquiring a dependency relationship among a plurality of subtasks; determining the deployment sequence of each subtask according to the dependency relationship among the plurality of subtasks; and according to the deployment sequence, sequentially deploying each subtask on the corresponding target service node. For example, the dependencies of subtask A, subtask B, and subtask C are: the subtask A needs to be deployed after the subtask B is finished, and the subtask C has no direct dependency relationship. Thus, the sequence of deployment of the subtasks can be determined to be subtask C, subtask B and subtask A.
When the subtasks are deployed according to the deployment sequence, the subtasks to be deployed at present are determined according to the deployment sequence and the subtasks which are already deployed at present, and then the subtasks to be deployed at present are deployed. For example, if the subtask C and the subtask B are completely deployed currently, it may be determined that the subtask to be deployed currently is the subtask a, and then the subtask a is deployed on the target service node corresponding to the subtask a.
In some embodiments, the cloud management and control platform 30 is further configured to detect whether all the subtasks are completely deployed, so as to determine that there are no subtasks to be deployed currently.
Optionally, the cloud management and control platform 30 is further configured to: and after all the subtasks are deployed, summarizing the service results output by the target service nodes corresponding to the subtasks, and returning the service results to the user, so that the user can detect the results and ensure the reliability of the deployment of the subtasks.
As an example, for a subtask with a dependency relationship, the cloud management and control platform 30 may obtain a corresponding service result from a target service node of the previous subtask, so that the target service node of the current subtask processes the current subtask based on the result of the previous subtask.
The cloud computing service system provided by the embodiment of the invention comprises a first cloud platform 10 based on an exclusive service node 11 cluster and a second cloud platform 20 based on a shared service node 21 cluster, wherein the first cloud platform 10 and the second cloud platform 20 are subjected to centralized scheduling and management through a cloud management and control platform 30, so that service node resources of the first cloud platform 10 or the second cloud platform 20 can be flexibly distributed to a plurality of subtasks contained in a cloud service request, the mixed arrangement of cloud service resources is realized, idle resources in the shared service node 21 are effectively utilized, the resource waste is avoided, and a more economic resource arrangement strategy is provided for a user.
Fig. 2 shows a flowchart of a cloud computing service method according to an embodiment of the present invention. The cloud computing service method is applied to the cloud management and control platform 30 in the cloud computing service system shown in fig. 1. As shown in fig. 1, the cloud computing service system further includes a first cloud platform 10 and a second cloud platform 20, wherein the first cloud platform 10 includes a plurality of dedicated service nodes 11, and the second cloud platform 20 includes a plurality of shared service nodes 21. As shown in fig. 2, the cloud computing service method includes the following steps S100 to S200.
S100, receiving a cloud service request containing a plurality of subtasks submitted by a user.
For example, the cloud management and control platform provides an entrance for accessing the cloud computing service system for a user, provides a mixed arrangement blueprint of multiple types of cloud platform resources, and can allow the user to arrange a desired task. The user can submit the cloud service request of the user through the cloud management and control platform. The cloud service requested by the user can be divided into a plurality of subtasks, and each subtask is distributed to different service nodes to be executed so as to realize distributed computing by utilizing the resources of the corresponding service node.
S200, determining a target service node corresponding to the subtask to provide service resources for the subtask through the target service node; the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform.
For example, the target service node corresponding to each subtask may be a service node in different types of cloud platforms. Specifically, the target service node may be an exclusive service node in the first cloud platform or a shared service node in the second cloud platform, thereby implementing hybrid orchestration of resources of the first cloud platform and the second cloud platform.
For example, a cloud service request submitted by a user includes a subtask a, a subtask B, and a subtask C, and target service nodes corresponding to the subtask a, the subtask B, and the subtask C are a first dedicated service node, a first shared service node, and a second dedicated service node, respectively.
As shown in fig. 3, in some embodiments, the cloud computing service method according to the embodiments of the present invention may further include step S300 of collecting basic information of the dedicated service node in the first cloud platform and the shared service node in the second cloud platform. Therefore, the resources of the first cloud platform and the second cloud platform can be managed, and the appropriate service nodes are matched for the subtasks based on the basic information of each service node.
By way of example, the basic information of the service node may include information of an operating system, a CPU, memory specifications, supported data types, and the like.
As shown in fig. 3, in detail, in conjunction with step S300, the determining of the target service node corresponding to the subtask in step S200 can be implemented by steps S210 to S220 as follows.
S210, acquiring basic information of the subtasks, wherein the basic information of the subtasks comprises subtask operation requirements;
and S220, matching the subtask operation requirements with the basic information of each service node to obtain a target service node corresponding to the subtask.
As an example, the running requirements of the subtasks may include operating system requirements, CPU and memory specifications, etc.; based on the operation requirements of the subtasks and the basic information of each service node in the first cloud platform and the second cloud platform, appropriate service nodes can be matched for each subtask, so that target service nodes corresponding to each subtask are determined, and mixed arrangement of service resources of the first cloud platform or the second cloud platform according to the operation requirements of each subtask is achieved. Therefore, reasonable configuration of resources can be achieved, and a more economic resource arranging strategy is provided for users.
As shown in fig. 4, in some embodiments, the cloud computing service method according to the embodiment of the present invention further includes step S400, deploying the subtask on the corresponding target service node. In this way, each subtask can be deployed on the respectively matched target service node.
As shown in fig. 5, specifically, the step S400 of deploying the subtask on the corresponding target service node may be implemented by the following steps S410 to S430.
S410, acquiring deployment topology description information of the subtasks, wherein the deployment topology description information comprises: subtask source and deployment run script;
s420, acquiring an installation file corresponding to the subtask according to the subtask source of the subtask;
and S430, installing the installation file on the target service node corresponding to the subtask through the deployment operation script of the subtask.
As shown in fig. 6, in some embodiments, the cloud computing service method of the embodiment of the present invention further includes the following steps S510 to S530.
S510, acquiring a dependency relationship among a plurality of subtasks;
s520, determining the deployment sequence of each subtask according to the dependency relationship among the plurality of subtasks;
and S530, sequentially deploying each subtask on the corresponding target service node according to the deployment sequence.
For example, for a plurality of subtasks having a dependency relationship, the deployment sequence of each subtask needs to be determined according to the dependency relationship between the subtasks, and each subtask needs to be deployed according to the deployment sequence. For example, the dependencies of subtask A, subtask B, and subtask C are: the subtask A needs to be deployed after the subtask B is finished, and the subtask C has no direct dependency relationship. Thus, the sequence of deployment of the subtasks can be determined to be subtask C, subtask B and subtask A.
When the subtasks are deployed according to the deployment sequence, the subtasks to be deployed at present are determined according to the deployment sequence and the subtasks which are already deployed at present, and then the subtasks to be deployed at present are deployed. For example, if the subtask C and the subtask B are completely deployed currently, it may be determined that the subtask to be deployed currently is the subtask a, and then the subtask a is deployed on the target service node corresponding to the subtask a.
In some embodiments, the cloud computing service method according to the embodiments of the present invention further includes step S600, detecting whether all the subtasks are completely deployed, so as to determine that there are no subtasks to be deployed currently.
In some embodiments, the cloud computing service method according to the embodiments of the present invention further includes S700, when all the subtasks have been deployed, summarizing the service result output by the target service node corresponding to each subtask, and returning the service result to the user, so that the user can detect the result, and the reliability of the subtask deployment is ensured.
The cloud computing service method provided by the embodiment of the invention can flexibly allocate the service node resources of the first cloud platform or the second cloud platform to a plurality of subtasks contained in one cloud service request, realize the hybrid arrangement of the cloud service resources, effectively utilize the idle resources in the shared service node, avoid the resource waste and provide an economic resource arrangement strategy for users.
Fig. 7 shows an electronic device 40 provided by an embodiment of the present invention. As shown in fig. 7, the electronic device 40 includes, but is not limited to:
a memory 42 for storing programs;
and a processor 41 for executing the program stored in the memory 42, wherein when the processor 41 executes the program stored in the memory 42, the processor 41 is configured to execute the terminal selecting method.
The processor 41 and the memory 42 may be connected by a bus or other means.
The memory 42, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs and non-transitory computer executable programs, such as the terminal selection method described in the embodiments of the present invention. The processor 41 implements the above-described terminal selection method by running a non-transitory software program and instructions stored in the memory 42.
The memory 42 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data for performing the terminal selection method described above. Further, the memory 42 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 42 may optionally include memory located remotely from the processor 41, and these remote memories may be connected to the processor 41 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Non-transitory software programs and instructions necessary to implement the above-described terminal selection method are stored in the memory 42 and, when executed by the one or more processors 41, perform the above-described terminal selection method, e.g., perform the method steps S100 to S200 depicted in fig. 2, the method steps S300 and S220 depicted in fig. 3, the method steps S100 and S400 depicted in fig. 4, the method steps S410 to S430 depicted in fig. 5, and the method steps S100 to S530 depicted in fig. 6.
The embodiment of the invention also provides a storage medium, which stores computer-executable instructions, and the computer-executable instructions are used for executing the cloud computing service method.
In an embodiment, the storage medium stores computer-executable instructions, which are executed by one or more control processors 41, for example, by one processor 41 in the electronic device 40, and may cause the one or more processors 41 to execute the cloud computing service method described above, for example, method steps S100 to S200 described in fig. 2, method steps S300 and S220 described in fig. 3, method steps S100 and S400 described in fig. 4, method steps S410 to S430 described in fig. 5, and method steps S100 to S530 described in fig. 6.
The above described embodiments are merely illustrative, wherein elements illustrated as separate components may or may not be physically separate, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
While the preferred embodiments of the present invention have been described in detail, it will be understood by those skilled in the art that the foregoing and various other changes, omissions and deviations in the form and detail thereof may be made without departing from the scope of this invention.
Claims (16)
1. A cloud computing service system, comprising:
a first cloud platform comprising a plurality of dedicated service nodes;
a second cloud platform comprising a plurality of shared service nodes;
the cloud management and control platform is used for receiving a cloud service request which is submitted by a user and contains a plurality of subtasks, determining a target service node corresponding to the subtasks, and providing service resources for the subtasks through the target service node;
the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform.
2. The cloud computing service system of claim 1, wherein the cloud management and control platform is further configured to:
and collecting basic information of an exclusive service node in the first cloud platform and a shared service node in the second cloud platform.
3. The cloud computing service system of claim 2, wherein the cloud management and control platform determines a target service node corresponding to the subtask, and comprises:
acquiring basic information of the subtasks, wherein the basic information of the subtasks comprises subtask operation requirements;
and matching the subtask operation requirement with the basic information of each service node to obtain a target service node corresponding to the subtask.
4. The cloud computing service system of claim 1, wherein the cloud management and control platform is further configured to:
and deploying the subtasks on the corresponding target service nodes.
5. The cloud computing service system of claim 4, wherein the cloud management and control platform deploys the subtasks on the corresponding target service nodes, and comprises:
acquiring deployment topology description information of the subtasks, wherein the deployment topology description information comprises: subtask source and deployment run script;
acquiring an installation file corresponding to the subtask according to the subtask source of the subtask;
and installing the installation file on the target service node corresponding to the subtask through the deployment operation script of the subtask.
6. The cloud computing service system of claim 1,
the cloud management and control platform is further used for:
acquiring the dependency relationship among the multiple subtasks;
determining the deployment sequence of each subtask according to the dependency relationship among the plurality of subtasks;
and according to the deployment sequence, sequentially deploying each subtask on the corresponding target service node.
7. The cloud computing service system of claim 6, wherein the cloud management and control platform is further configured to:
detecting whether all subtasks are deployed or not;
and when all the subtasks are deployed, summarizing the service results output by the target service nodes corresponding to the subtasks, and returning the service results to the user.
8. A cloud computing service method is applied to a cloud management and control platform of a cloud computing service system, and the cloud computing service system further comprises a first cloud platform and a second cloud platform, wherein the first cloud platform comprises a plurality of exclusive service nodes, and the second cloud platform comprises a plurality of shared service nodes; the method comprises the following steps:
receiving a cloud service request which is submitted by a user and contains a plurality of subtasks;
determining a target service node corresponding to the subtask so as to provide service resources for the subtask through the target service node;
the target service node is an exclusive service node in the first cloud platform or a shared service node in the second cloud platform.
9. The cloud computing service method according to claim 8, further comprising:
and collecting basic information of an exclusive service node in the first cloud platform and a shared service node in the second cloud platform.
10. The cloud computing service method of claim 9, wherein the determining a target service node corresponding to the subtask comprises:
acquiring basic information of the subtasks, wherein the basic information of the subtasks comprises subtask operation requirements;
and matching the subtask operation requirement with the basic information of each service node to obtain a target service node corresponding to the subtask.
11. The cloud computing service method according to claim 8, further comprising:
and deploying the subtasks on the corresponding target service nodes.
12. The cloud computing service method of claim 11, wherein the deploying the subtasks on the corresponding target service node comprises:
acquiring deployment topology description information of the subtasks, wherein the deployment topology description information comprises: subtask source and deployment run script;
acquiring an installation file corresponding to the subtask according to the subtask source of the subtask;
and installing the installation file on the target service node corresponding to the subtask through the deployment operation script of the subtask.
13. The cloud computing service method according to claim 8, further comprising:
acquiring the dependency relationship among the multiple subtasks;
determining the deployment sequence of each subtask according to the dependency relationship among the plurality of subtasks;
and according to the deployment sequence, sequentially deploying each subtask on the corresponding target service node.
14. The cloud computing service method according to claim 13, further comprising:
detecting whether all subtasks are deployed or not;
and when all the subtasks are deployed, summarizing the service results output by the target service nodes corresponding to the subtasks, and returning the service results to the user.
15. An electronic device, comprising:
a memory for storing a program;
a processor for executing the memory-stored program, the processor being configured to perform, when the processor executes the memory-stored program:
the method of any one of claims 8 to 14.
16. A storage medium having stored thereon computer-executable instructions for performing:
the method of any one of claims 8 to 14.
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| PCT/CN2021/092480 WO2021227999A1 (en) | 2020-05-11 | 2021-05-08 | Cloud computing service system and method |
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| US20220321605A1 (en) * | 2021-04-01 | 2022-10-06 | Cisco Technology, Inc. | Verifying trust postures of heterogeneous confidential computing clusters |
| CN116680061A (en) * | 2023-08-02 | 2023-09-01 | 腾讯科技（深圳）有限公司 | Task execution method, device, equipment and storage medium |
| CN116909756A (en) * | 2023-09-13 | 2023-10-20 | 中移(苏州)软件技术有限公司 | Cross-cloud service method and device, electronic equipment and storage medium |
| WO2024093859A1 (en) * | 2022-11-04 | 2024-05-10 | 中国联合网络通信集团有限公司 | Service function orchestration method and system, electronic device, and storage medium |
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| CN115604101B (en) * | 2022-09-29 | 2024-02-02 | 北京亚控科技发展有限公司 | System management method and related equipment |
| CN116909751B (en) * | 2023-09-11 | 2023-12-01 | 北京蓝耘科技股份有限公司 | Resource allocation method in cloud computing system |
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| CN101719931B (en) * | 2009-11-27 | 2012-08-15 | 南京邮电大学 | Multi-intelligent body-based hierarchical cloud computing model construction method |
| CN101969475A (en) * | 2010-11-15 | 2011-02-09 | 张军 | Business data controllable distribution and fusion application system based on cloud computing |
| CN103067524A (en) * | 2013-01-18 | 2013-04-24 | 浪潮电子信息产业股份有限公司 | Ant colony optimization computing resource distribution method based on cloud computing environment |
| CN103237009A (en) * | 2013-03-26 | 2013-08-07 | 四川长虹电器股份有限公司 | Resource sharing system of intelligent set-top box and method for achieving resource sharing |
| WO2016127315A1 (en) * | 2015-02-10 | 2016-08-18 | 深圳好视网络科技有限公司 | Resource sharing method and apparatus for private cloud system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220321605A1 (en) * | 2021-04-01 | 2022-10-06 | Cisco Technology, Inc. | Verifying trust postures of heterogeneous confidential computing clusters |
| WO2024093859A1 (en) * | 2022-11-04 | 2024-05-10 | 中国联合网络通信集团有限公司 | Service function orchestration method and system, electronic device, and storage medium |
| CN116680061A (en) * | 2023-08-02 | 2023-09-01 | 腾讯科技（深圳）有限公司 | Task execution method, device, equipment and storage medium |
| CN116680061B (en) * | 2023-08-02 | 2024-03-15 | 腾讯科技（深圳）有限公司 | Task execution method, device, equipment and storage medium |
| CN116909756A (en) * | 2023-09-13 | 2023-10-20 | 中移(苏州)软件技术有限公司 | Cross-cloud service method and device, electronic equipment and storage medium |
| CN116909756B (en) * | 2023-09-13 | 2024-01-26 | 中移(苏州)软件技术有限公司 | Cross-cloud service method and device, electronic equipment and storage medium |
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