WO2021227999A1 - Cloud computing service system and method - Google Patents

Cloud computing service system and method Download PDF

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Publication number
WO2021227999A1
WO2021227999A1 PCT/CN2021/092480 CN2021092480W WO2021227999A1 WO 2021227999 A1 WO2021227999 A1 WO 2021227999A1 CN 2021092480 W CN2021092480 W CN 2021092480W WO 2021227999 A1 WO2021227999 A1 WO 2021227999A1
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Prior art keywords
subtask
cloud
service node
service
platform
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PCT/CN2021/092480
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French (fr)
Chinese (zh)
Inventor
崔丕锁
杨祥
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中兴通讯股份有限公司
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Publication of WO2021227999A1 publication Critical patent/WO2021227999A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources

Definitions

  • the present invention relates to the field of communications, in particular to a cloud computing service system and method.
  • Cloud computing service is an emerging distributed service computing model. Users can purchase services of different specifications according to their own needs, which greatly saves costs, and improves reliability and convenience.
  • the embodiment of the present invention provides a cloud computing service system, a cloud computing service method, an electronic device, and an electronic device storage medium, which can implement mixed orchestration of cloud service resources of different types of cloud platforms and improve resource utilization.
  • an embodiment of the present invention provides a cloud computing service system, including: a first cloud platform, including a plurality of dedicated service nodes; a second cloud platform, including a plurality of shared service nodes; a cloud management and control platform for receiving users
  • the target service node corresponding to the subtask is determined, so as to provide service resources for the subtask through the target service node; wherein, the target service node is the first A dedicated service node in a cloud platform or a shared service node in the second cloud platform.
  • an embodiment of the present invention provides a cloud computing service method applied to a cloud management and control platform of a cloud computing service system.
  • the cloud computing service system further includes a first cloud platform and a second cloud platform, wherein the first cloud platform A cloud platform includes a plurality of dedicated service nodes, and the second cloud platform includes a plurality of shared service nodes; the method includes: receiving a cloud service request including a plurality of subtasks submitted by a user; determining a target corresponding to the subtask A service node to provide service resources for the subtask through the target service node; wherein the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform .
  • an embodiment of the present invention provides an electronic device, including: a memory, configured to store a program; a processor, configured to execute the program stored in the memory, and when the processor executes the program stored in the memory , The processor is used to execute the cloud computing service method as described above.
  • an embodiment of the present invention provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the aforementioned cloud computing service method.
  • FIG. 1 is an architecture diagram of a cloud computing service system provided by an embodiment of the present invention
  • Figure 2 is a flowchart of a cloud computing service method provided by an embodiment of the present invention.
  • FIG. 3 is a flowchart of another cloud computing service method provided by an embodiment of the present invention.
  • FIG. 4 is a flowchart of another cloud computing service method provided by an embodiment of the present invention.
  • FIG. 5 is a flowchart of a method for deploying the subtask on the corresponding target service node according to an embodiment of the present invention
  • FIG. 6 is a flowchart of another cloud computing service method provided by an embodiment of the present invention.
  • Fig. 7 is a structural diagram of an electronic device provided by an embodiment of the present invention.
  • multiple means two or more, greater than, less than, exceeding, etc. are understood to not include the number, and above, below, and within are understood to include the number. If there are descriptions of "first”, “second”, etc., which are only used to distinguish technical features, they cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the indicated The precedence of technical characteristics.
  • the embodiments of the present invention provide a cloud computing service system, a cloud computing service method, an electronic device, and an electronic device storage medium, which can implement mixed orchestration of cloud service resources of different types of cloud platforms and improve resource utilization.
  • Fig. 1 shows an architecture diagram of a cloud computing service system provided by an embodiment of the present invention.
  • the cloud computing service system of 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.
  • the first cloud platform 10 includes multiple dedicated service nodes 11.
  • the dedicated service node 11 is configured as computing resources only for providing cloud services.
  • the dedicated service node 11 is set in the computer room of the cloud service provider.
  • the dedicated service node 11 may specifically be a physical device such as a server, a storage device, and a network device.
  • multiple first cloud platforms 10 may be provided, which may specifically include infrastructure as a service (Infrastructure as a Service, referred to as IaaS) cloud platform, and platform-as-a-service (Platform-as-a-Service, referred to as PaaS) cloud platform. Cloud platforms, etc., different types of first cloud platforms 10 are used to provide different types of cloud services.
  • the second cloud platform 20 includes multiple shared service nodes 21.
  • the shared service node 21 is configured to use idle resources (for example, computing resources, storage resources, etc.) to provide cloud services.
  • the shared computing node may specifically be a physical device such as a smart phone, a tablet computer, a set-top box, a personal computer, and a household appliance.
  • 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 the network, and registered to the cloud management and control platform 30, so as to communicate with the first cloud platform 10 and the first cloud platform through the cloud management and control platform 30.
  • the underlying physical resources of the second cloud platform 20 are scheduled and managed.
  • the cloud management and control platform 30 is used to receive a cloud service request that includes multiple subtasks submitted by a user, and determine a target service node corresponding to the subtask, so as to provide services for the subtask through the target service node Resources; wherein, the target service node is a dedicated service node 11 in the first cloud platform 10 or a shared service node 21 in the second cloud platform 20.
  • the cloud management and control platform 30 may provide users with access to the cloud computing service system, provide multiple types of cloud platform resources for mixed orchestration, and may allow users to orchestrate desired tasks. Users can submit their own cloud service requests through the cloud management and control platform 30.
  • the cloud service requested by the user can be divided into multiple subtasks, and each subtask is allocated to different service nodes for execution, so as to use the resources of the corresponding service node to implement distributed computing.
  • the target service node corresponding to each subtask may be a service node in different types of cloud platforms.
  • the target service node may be the dedicated service node 11 in the first cloud platform 10 or the shared service node 21 in the second cloud platform 20, thereby realizing access to the resources of the first cloud platform 10 and the second cloud platform 20 Mixed arrangement.
  • a cloud service request submitted by a user includes subtask A, subtask B, and subtask C.
  • the target service nodes corresponding to subtask A, subtask B, and subtask C are the first dedicated service node and the first shared service. Node and second dedicated service node.
  • the cloud management and control platform 30 is also used to collect the 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 realize the comparison between the first cloud platform 10 and the shared service node 21
  • the resources of the second cloud platform 20 are managed, and appropriate service nodes are matched for subtasks based on the basic information of each service node.
  • the basic information of the service node may include information such as operating system, CPU, memory specifications, and supported data types.
  • the cloud management and control platform 30 determines the target service node corresponding to the subtask, which may specifically include: obtaining the basic information of the subtask.
  • the basic information of the subtask includes the operation requirements of the subtask;
  • the basic information is matched to obtain the target service node corresponding to the subtask.
  • the running requirements of the subtasks may include operating system requirements, CPU and memory specifications, and so on.
  • the appropriate service node can be matched for each subtask, so as to determine the target service node corresponding to each subtask.
  • the service resources of the first cloud platform 10 or the second cloud platform 20 are arranged in a mixed manner. In this way, a reasonable allocation of resources can be achieved, and a more economical resource scheduling strategy can be provided for users.
  • the cloud management and control platform 30 is also used to deploy subtasks on corresponding target service nodes. After determining the target service node corresponding to each subtask, deploy the corresponding subtask on the target service node to complete the creation of the cloud service.
  • the cloud management and control platform 30 deploys the subtask on the corresponding target service node, which may specifically include: obtaining deployment topology description information of the subtask.
  • the deployment topology description information includes: the source of the subtask and the deployment running script; according to the subtask
  • the subtask source of the subtask is to obtain the installation file corresponding to the subtask; the installation file is installed on the target service node corresponding to the subtask by running the script through the deployment of the subtask. In this way, it is possible to deploy each subtask on each matched target service node.
  • the cloud management and control platform 30 is also used to: obtain the dependency relationship between multiple subtasks; determine the deployment order of each subtask according to the dependency relationship between the multiple subtasks; The tasks are deployed on their respective target service nodes.
  • the dependency of subtask A, subtask B, and subtask C is: subtask A needs to be deployed after subtask B ends, and subtask C has no direct dependency. In this way, it can be determined that the sequence of the above-mentioned subtasks is subtask C, subtask B, and subtask A.
  • subtasks When deploying subtasks according to the deployment sequence, first determine the subtasks currently to be deployed according to the deployment sequence and the currently completed subtasks, and then deploy the subtasks currently to be deployed. For example, if subtask C and subtask B are currently fully deployed, the subtask to be deployed currently is determined as subtask A, and then subtask A is deployed on its corresponding target service node.
  • the cloud management and control platform 30 is also used to detect whether all subtasks have been deployed, so as to determine that there are no subtasks to be deployed currently.
  • the cloud management and control platform 30 is also used to: after all subtasks have been deployed, summarize the service results output by the target service node corresponding to each subtask, and return the service results to the user so that the user can check the results. Check to ensure the reliability of sub-task deployment.
  • the cloud management and control platform 30 may obtain the corresponding service results from the target service node of the pre-subtask, so that the target service node of the current subtask can process the current subtask based on the result of the pre-subtask. Subtasks.
  • the cloud computing service system includes a first cloud platform 10 based on a cluster of dedicated service nodes 11 and a second cloud platform 20 based on a cluster of shared service nodes 21.
  • the second cloud platform 20 performs centralized scheduling and management by itself, and can flexibly allocate the service node resources of the first cloud platform 10 or the second cloud platform 20 to multiple subtasks included in a cloud service request, thereby realizing the mixing of cloud service resources
  • the arrangement effectively utilizes the idle resources in the shared service node 21, avoids resource waste, and provides users with a more economical resource arrangement strategy.
  • Fig. 2 shows a flowchart of a cloud computing service method provided by 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.
  • the cloud computing service system further includes a first cloud platform 10 and a second cloud platform 20, where 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 .
  • the cloud computing service method includes the following steps S100 to S200.
  • S100 Receive a cloud service request including multiple subtasks submitted by a user.
  • the cloud management and control platform provides users with access to the cloud computing service system, and provides a blueprint for the hybrid orchestration of multiple types of cloud platform resources, which can allow users to orchestrate desired tasks. Users can submit their own cloud service requests through the cloud management and control platform.
  • the cloud service requested by the user can be divided into multiple subtasks, and each subtask is allocated to different service nodes for execution, so as to use the resources of the corresponding service node to implement distributed computing.
  • S200 Determine a target service node corresponding to the subtask to provide service resources for the subtask through the target service node; wherein the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform.
  • the target service node corresponding to each subtask may be a service node in different types of cloud platforms.
  • the target service node may be a dedicated service node in the first cloud platform or a shared service node in the second cloud platform, thereby realizing hybrid orchestration of resources of the first cloud platform and the second cloud platform.
  • a cloud service request submitted by a user includes subtask A, subtask B, and subtask C.
  • the target service nodes corresponding to subtask A, subtask B, and subtask C are the first dedicated service node and the first shared service. Node and second dedicated service node.
  • the cloud computing service method of the embodiment of the present invention may further include step S300, collecting basic information about the dedicated service node in the first cloud platform and the shared service node in the second cloud platform. information. In this way, it is possible to manage the resources of the first cloud platform and the second cloud platform, and to match appropriate service nodes for subtasks based on the basic information of each service node.
  • the basic information of the service node may include information such as operating system, CPU, memory specifications, and supported data types.
  • step S300 the determination of the target service node corresponding to the subtask in the above step S200 can be implemented through the following steps S210 to S220.
  • S210 Acquire basic information of the subtask, where the basic information of the subtask includes the operation requirements of the subtask;
  • S220 Match the operation requirements of the subtask with the basic information of each service node to obtain a target service node corresponding to the subtask.
  • the operating requirements of the subtasks may include operating system requirements, CPU and memory specifications, etc.; based on the operating requirements of the subtasks, and the basic information of each service node in the first cloud platform and the second cloud platform, it can be each subtask Match the appropriate service node to determine the target service node corresponding to each subtask, and realize the hybrid orchestration of the service resources of the first cloud platform or the second cloud platform according to the operation requirements of each subtask. In this way, a reasonable allocation of resources can be achieved, and a more economical resource scheduling strategy can be provided for users.
  • the cloud computing service method of the embodiment of the present invention further includes step S400 of deploying subtasks on corresponding target service nodes. In this way, it is possible to deploy each subtask on each matched target service node.
  • step S400 deploying the subtasks on the corresponding target service node in step S400 can be implemented through the following steps S410 to S430.
  • S410 Acquire deployment topology description information of the subtask, where the deployment topology description information includes: the source of the subtask and the deployment running script;
  • the cloud computing service method of the embodiment of the present invention further includes the following steps S510 to S530.
  • S520 Determine the deployment sequence of each subtask according to the dependency relationship between the multiple subtasks
  • the dependency of subtask A, subtask B, and subtask C is: subtask A needs to be deployed after subtask B ends, and subtask C has no direct dependency.
  • the sequence of the above-mentioned subtasks is subtask C, subtask B, and subtask A.
  • subtasks When deploying subtasks according to the deployment sequence, first determine the subtasks currently to be deployed according to the deployment sequence and the currently completed subtasks, and then deploy the subtasks currently to be deployed. For example, if subtask C and subtask B are currently fully deployed, the subtask to be deployed currently is determined to be subtask A, and then subtask A is deployed on its corresponding target service node.
  • the cloud computing service method of the embodiment of the present invention further includes step S600 of detecting whether all subtasks have been deployed, so as to determine that there are no subtasks to be deployed currently.
  • the cloud computing service method of the embodiment of the present invention further includes S700.
  • S700 When all subtasks have been deployed, the service results output by the target service node corresponding to each subtask are summarized, and the service results are returned to the user. So that users can check the results to ensure the reliability of sub-task deployment.
  • the cloud computing service method provided by the embodiment of the present invention can flexibly allocate the service node resources of the first cloud platform or the second cloud platform to multiple subtasks included in a cloud service request, realize the hybrid orchestration of cloud service resources, and effectively use In order to share the idle resources in the service node, avoid resource waste, and provide users with a more economical resource scheduling strategy.
  • 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:
  • the memory 42 is used to store programs
  • the processor 41 is configured to execute the program stored in the memory 42.
  • the processor 41 executes the program stored in the memory 42, the processor 41 is configured to execute the aforementioned terminal selection method.
  • the processor 41 and the memory 42 may be connected by a bus or in other ways.
  • the memory 42 can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the terminal selection method described in the embodiment of the present invention.
  • the processor 41 executes the non-transitory software programs and instructions stored in the memory 42 to implement the above-mentioned terminal selection method.
  • the memory 42 may include a storage program area and a storage data area.
  • the storage program area may store an operating system and an application program required by at least one function; the storage data area may store and execute the aforementioned terminal selection method.
  • the memory 42 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
  • the memory 42 may include a memory remotely provided with respect to the processor 41, and these remote memories may be connected to the processor 41 through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the non-transitory software programs and instructions required to implement the above-mentioned terminal selection method are stored in the memory 42, and when executed by one or more processors 41, the above-mentioned terminal selection method is executed, for example, as described in FIG. 2
  • the embodiment of the present invention also provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the aforementioned cloud computing service method.
  • the storage medium stores computer-executable instructions that are executed by one or more control processors 41, for example, executed by a processor 41 in the above-mentioned electronic device 40, so that the above-mentioned One or more processors 41 execute the aforementioned cloud computing service method, for example, the method steps S100 to S200 described in FIG. 2, the method steps S300 and S220 described in FIG. 3, and the method steps S100 and S400 described in FIG. 4, The method steps S410 to S430 are described in FIG. 5 and the method steps S100 to S530 are described in FIG. 6.
  • the cloud management and control platform can allocate different types of service node resources of the first cloud platform or the second cloud platform for the multiple subtasks included in the user's cloud service request, thereby realizing the hybrid orchestration of cloud service resources, which is effective Utilize the idle resources in the shared service node, avoid resource waste, and provide users with a more economical resource scheduling strategy.
  • the embodiment of the present invention includes: receiving a cloud service request including multiple subtasks submitted by a user; 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 a dedicated service node in the first cloud platform or a shared service node in the second cloud platform.
  • 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 the multiple subtasks included in the user's cloud service request, so as to realize the hybrid orchestration of cloud service resources. It effectively utilizes the idle resources in the shared service node, avoids resource waste, and provides users with a more economical resource scheduling strategy.
  • computer storage medium includes volatile and non-volatile data implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data).
  • Information such as computer-readable instructions, data structures, program modules, or other data.
  • Computer storage media include but are not limited to RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or Any other medium used to store desired information and that can be accessed by a computer.
  • communication media usually include computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as carrier waves or other transmission mechanisms, and may include any information delivery media. .

Abstract

A cloud computing service system and method. The cloud computing service system comprises: a first cloud platform (10), which comprises a plurality of dedicated service nodes (11); a second cloud platform (20), which comprises a plurality of shared service nodes (21); and a cloud management and control platform (30) for receiving a cloud service request, which is submitted by a user and contains a plurality of subtasks, and determining a target service node corresponding to the subtasks, so as to provide a service resource for the subtasks by means of the target service node, wherein the target service node is the dedicated service node (11) in the first cloud platform (10) or the shared service node (21) in the second cloud platform (20).

Description

云计算服务系统和方法Cloud computing service system and method
相关申请的交叉引用Cross-references to related applications
本申请基于申请号为202010391944.1、申请日为2020年05月11日的中国专利申请提出,并要求该中国专利申请的优先权,该中国专利申请的全部内容在此引入本申请作为参考。This application is based on a Chinese patent application with an application number of 202010391944.1 and an application date of May 11, 2020, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated into this application by reference.
技术领域Technical field
本发明涉及通信领域,特别是涉及一种云计算服务系统和方法。The present invention relates to the field of communications, in particular to a cloud computing service system and method.
背景技术Background technique
云计算服务是一种新兴的分布式服务计算模式,用户可以根据自己的需求购买不同规格的服务,大大节省了成本,并且提高了可靠性和便利性。Cloud computing service is an emerging distributed service computing model. Users can purchase services of different specifications according to their own needs, which greatly saves costs, and improves reliability and convenience.
如今,智能手机、机顶盒、个人电脑等电子设备的配置规格越来越高,计算能力越来越强。但是,在日常使用中,这类电子设备的资源(例如计算资源、存储资源等)往往只有小部分被利用,大部分的资源是被闲置的。因此可以把这类电子设备闲置的资源共享出来提供云计算服务,以避免资源的浪费。Nowadays, the configuration specifications of smart phones, set-top boxes, personal computers and other electronic devices are getting higher and higher, and the computing power is getting stronger and stronger. However, in daily use, only a small part of the resources (such as computing resources, storage resources, etc.) of such electronic devices are often used, and most of the resources are idle. Therefore, idle resources of such electronic devices can be shared to provide cloud computing services to avoid waste of resources.
然而,这类共享闲置资源的设备通常无法处理一些对计算要求较高的任务,使得基于共享闲置资源的设备搭建的云平台能处理的云服务作业有限,导致闲置资源的利用率仍然不高。However, such devices that share idle resources are generally unable to handle some tasks with high computing requirements, so that cloud platforms based on devices that share idle resources can handle cloud service operations are limited, resulting in a low utilization rate of idle resources.
发明内容Summary of the invention
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。The following is an overview of the topics detailed in this article. This summary is not intended to limit the scope of protection of the claims.
本发明实施例提供了一种云计算服务系统、云计算服务方法、电子设备和电子设备存储介质,能够实现对不同类型云平台的云服务资源进行混合编排,提高资源利用率。The embodiment of the present invention provides a cloud computing service system, a cloud computing service method, an electronic device, and an electronic device storage medium, which can implement mixed orchestration of cloud service resources of different types of cloud platforms and improve resource utilization.
一方面,本发明实施例提供了一种云计算服务系统,包括:第一云平台,包括多个专属服务节点;第二云平台,包括多个共享服务节点;云管控平台,用于接收用户提交的包含多个子任务的云服务请求,确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;其中,所述目标服务节点为所述第一云平台中的专属服务节点或者所述第二云平台中的共享服务节点。On the one hand, an embodiment of the present invention provides a cloud computing service system, including: a first cloud platform, including a plurality of dedicated service nodes; a second cloud platform, including a plurality of shared service nodes; a cloud management and control platform for receiving users For the submitted cloud service request containing multiple subtasks, the target service node corresponding to the subtask is determined, so as to provide service resources for the subtask through the target service node; wherein, the target service node is the first A dedicated service node in a cloud platform or a shared service node in the second cloud platform.
另一方面,本发明实施例提供了一种云计算服务方法,应用于云计算服务系统的云管控平台,所述云计算服务系统还包括第一云平台和第二云平台,其中所述第一云平台包括多个专属服务节点,所述第二云平台包括多个共享服务节点;所述方法包括:接收用户提交的包含多个子任务的云服务请求;确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;其中,所述目标服务节点为所述第一云平台中的专属服务节点或者所 述第二云平台中的共享服务节点。On the other hand, an embodiment of the present invention provides a cloud computing service method applied to a cloud management and control platform of a cloud computing service system. The cloud computing service system further includes a first cloud platform and a second cloud platform, wherein the first cloud platform A cloud platform includes a plurality of dedicated service nodes, and the second cloud platform includes a plurality of shared service nodes; the method includes: receiving a cloud service request including a plurality of subtasks submitted by a user; determining a target corresponding to the subtask A service node to provide service resources for the subtask through the target service node; wherein the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform .
另一方面,本发明实施例提供了一种电子设备,包括:存储器,用于存储程序;处理器,用于执行所述存储器存储的程序,当所述处理器执行所述存储器存储的程序时,所述处理器用于执行如上所述的云计算服务方法。On the other hand, an embodiment of the present invention provides an electronic device, including: a memory, configured to store a program; a processor, configured to execute the program stored in the memory, and when the processor executes the program stored in the memory , The processor is used to execute the cloud computing service method as described above.
再一方面,本发明实施例提供了一种存储介质,存储有计算机可执行指令,所述计算机可执行指令用于执行上述的云计算服务方法。In another aspect, an embodiment of the present invention provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the aforementioned cloud computing service method.
本发明的其它特征和优点将在随后的说明书中阐述,并且,部分地从说明书中变得显而易见,或者通过实施本发明而了解。本发明的目的和其他优点可通过在说明书、权利要求书以及附图中所特别指出的结构来实现和获得。Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or understood by implementing the present invention. The purpose and other advantages of the present invention can be realized and obtained through the structures specifically pointed out in the specification, claims and drawings.
附图说明Description of the drawings
附图用来提供对本发明技术方案的进一步理解,并且构成说明书的一部分,与本发明的实施例一起用于解释本发明的技术方案,并不构成对本发明技术方案的限制。The accompanying drawings are used to provide a further understanding of the technical solution of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the technical solution of the present invention, and do not constitute a limitation to the technical solution of the present invention.
图1是本发明实施例提供的一种云计算服务系统的架构图;FIG. 1 is an architecture diagram of a cloud computing service system provided by an embodiment of the present invention;
图2是本发明实施例提供的一种云计算服务方法的流程图;Figure 2 is a flowchart of a cloud computing service method provided by an embodiment of the present invention;
图3是本发明实施例提供的另一种云计算服务方法的流程图;FIG. 3 is a flowchart of another cloud computing service method provided by an embodiment of the present invention;
图4是本发明实施例提供的另一种云计算服务方法的流程图;4 is a flowchart of another cloud computing service method provided by an embodiment of the present invention;
图5是本发明实施例提供的所述子任务部署在对应的所述目标服务节点上的方法流程图;FIG. 5 is a flowchart of a method for deploying the subtask on the corresponding target service node according to an embodiment of the present invention;
图6是本发明实施例提供的另一种云计算服务方法的流程图;FIG. 6 is a flowchart of another cloud computing service method provided by an embodiment of the present invention;
图7是本发明实施例提供的一种电子设备的结构图。Fig. 7 is a structural diagram of an electronic device provided by an embodiment of the present invention.
具体实施方式Detailed ways
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅用以解释本发明,并不用于限定本发明。In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not used to limit the present invention.
应了解,在本发明实施例的描述中,多个(或多项)的含义是两个以上,大于、小于、超过等理解为不包括本数,以上、以下、以内等理解为包括本数。如果有描述到“第一”、“第二”等只是用于区分技术特征为目的,而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量或者隐含指明所指示的技术特征的先后关系。It should be understood that in the description of the embodiments of the present invention, multiple (or multiple) means two or more, greater than, less than, exceeding, etc. are understood to not include the number, and above, below, and within are understood to include the number. If there are descriptions of "first", "second", etc., which are only used to distinguish technical features, they cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the indicated The precedence of technical characteristics.
如今,智能手机、机顶盒、个人电脑等电子设备的配置规格越来越高,计算能力越来越强。但是,在日常使用中,这类电子设备的资源(例如计算资源、存储资源等)往往只有小部分被利用,大部分的资源是被闲置的。因此可以把这类电子设备闲置的资源共享出来提供云服务,以避免资源的浪费,提高资源的利用率。Nowadays, the configuration specifications of smart phones, set-top boxes, personal computers and other electronic devices are getting higher and higher, and the computing power is getting stronger and stronger. However, in daily use, only a small part of the resources (such as computing resources, storage resources, etc.) of such electronic devices are often used, and most of the resources are idle. Therefore, idle resources of such electronic devices can be shared to provide cloud services to avoid waste of resources and improve resource utilization.
然而,这类共享闲置资源的设备通常无法处理一些对计算要求较高的任务,使得基于共享闲置资源的设备搭建的云平台能处理的作业有限,导致闲置资源的利用率依然不高。However, such devices that share idle resources are generally unable to handle some tasks that require high computing requirements, so that cloud platforms built based on devices that share idle resources can handle limited jobs, resulting in a low utilization rate of idle resources.
此外,目前基于这类共享闲置资源的设备搭建的云平台,与传统云平台是相互独立的,无法实现对这两类云平台的云服务资源进行混合编排。In addition, the current cloud platform built on this type of equipment that shares idle resources is independent of the traditional cloud platform, and it is impossible to achieve mixed orchestration of the cloud service resources of these two types of cloud platforms.
基于此,本发明实施例提供了一种云计算服务系统、云计算服务方法、电子设备和电子设备存储介质,能够实现对不同类型云平台的云服务资源进行混合编排,提高资源利用率。Based on this, the embodiments of the present invention provide a cloud computing service system, a cloud computing service method, an electronic device, and an electronic device storage medium, which can implement mixed orchestration of cloud service resources of different types of cloud platforms and improve resource utilization.
图1示出了本发明实施例提供的一种云计算服务系统的架构图。如图1所示,本发明实施例的云计算服务系统包括第一云平台10、第二云平台20和云管控平台30。Fig. 1 shows an architecture diagram of a cloud computing service system provided by an embodiment of the present invention. As shown in FIG. 1, the cloud computing service system of 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.
本实施例中,第一云平台10包括多个专属服务节点11。这里,专属服务节点11被配置为计算资源仅用于提供云服务。通常情况下,专属服务节点11设置在云服务提供商的机房。专属服务节点11具体可以为服务器、存储设备、网络设备等物理设备。应当理解,第一云平台10可以设置有多个,具体可以包括基于基础设施即服务(Infrastructure as a Service,简称IaaS)云平台、基于平台即服务(Platform-as-a-Service,简称PaaS)云平台等,不同类型的第一云平台10用于提供不同类型的云服务。In this embodiment, the first cloud platform 10 includes multiple dedicated service nodes 11. Here, the dedicated service node 11 is configured as computing resources only for providing cloud services. Generally, the dedicated service node 11 is set in the computer room of the cloud service provider. The dedicated service node 11 may specifically be a physical device such as a server, a storage device, and a network device. It should be understood that multiple first cloud platforms 10 may be provided, which may specifically include infrastructure as a service (Infrastructure as a Service, referred to as IaaS) cloud platform, and platform-as-a-service (Platform-as-a-Service, referred to as PaaS) cloud platform. Cloud platforms, etc., different types of first cloud platforms 10 are used to provide different types of cloud services.
本实施例中,第二云平台20包括多个共享服务节点21。共享服务节点21被配置为利用闲置的资源(例如计算资源、存储资源等)提供云服务。共享计算节点具体可以为智能手机、平板电脑、机顶盒、个人电脑、家电设备等物理设备。In this embodiment, the second cloud platform 20 includes multiple shared service nodes 21. The shared service node 21 is configured to use idle resources (for example, computing resources, storage resources, etc.) to provide cloud services. The shared computing node may specifically be a physical device such as a smart phone, a tablet computer, a set-top box, a personal computer, and a household appliance.
示例性的,第一云平台10和第二云平台20的服务节点可以分别通过网络与云管控平台30互联,并注册至云管控平台30,以通过云管控平台30对第一云平台10和第二云平台20的底层物理资源进行调度和管理。Exemplarily, 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 the network, and registered to the cloud management and control platform 30, so as to communicate with the first cloud platform 10 and the first cloud platform through the cloud management and control platform 30. The underlying physical resources of the second cloud platform 20 are scheduled and managed.
本实施例中,云管控平台30用于接收用户提交的包含多个子任务的云服务请求,确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;其中,所述目标服务节点为所述第一云平台10中的专属服务节点11或者所述第二云平台20中的共享服务节点21。In this embodiment, the cloud management and control platform 30 is used to receive a cloud service request that includes multiple subtasks submitted by a user, and determine a target service node corresponding to the subtask, so as to provide services for the subtask through the target service node Resources; wherein, the target service node is a dedicated service node 11 in the first cloud platform 10 or a shared service node 21 in the second cloud platform 20.
示例性的,云管控平台30可以为用户提供访问云计算服务系统的入口,提供多种类型云平台资源混合编排,可以允许用户对期望的任务进行编排。用户可通过云管控平台30提交自身的云服务请求。用户请求的云服务可以被划分成多个子任务,各个子任务被分配至不同的服务节点执行,以利用对应的服务节点的资源实现分布式计算。本实施例中,各个子任务对应的目标服务节点可以是不同类型云平台中的服务节点。具体的,目标服务节点可以是第一云平台10中的专属服务节点11或者第二云平台20中的共享服务节点21,由此实现对第一云平台10和第二云平台20的资源的混合编排。Exemplarily, the cloud management and control platform 30 may provide users with access to the cloud computing service system, provide multiple types of cloud platform resources for mixed orchestration, and may allow users to orchestrate desired tasks. Users can submit their own cloud service requests through the cloud management and control platform 30. The cloud service requested by the user can be divided into multiple subtasks, and each subtask is allocated to different service nodes for execution, so as to use the resources of the corresponding service node to implement distributed computing. In this embodiment, 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 the dedicated service node 11 in the first cloud platform 10 or the shared service node 21 in the second cloud platform 20, thereby realizing access to the resources of the first cloud platform 10 and the second cloud platform 20 Mixed arrangement.
例如,某用户提交的云服务请求中包含了子任务A、子任务B和子任务C,子任务A、子任务B和子任务C分别对应的目标服务节点为第一专属服务节点、第一共享服务节点和第二专属服务节点。For example, a cloud service request submitted by a user includes subtask A, subtask B, and subtask C. The target service nodes corresponding to subtask A, subtask B, and subtask C are the first dedicated service node and the first shared service. Node and second dedicated service node.
在一些实施例中,云管控平台30还用于收集第一云平台10中的专属服务节点11和第二云平台20中的共享服务节点21的基本信息,以实现对第一云平台10和第二云平台20的资源进行管理,以及基于各服务节点的基本信息为子任务匹配合适的服务节点。In some embodiments, the cloud management and control platform 30 is also used to collect the 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 realize the comparison between the first cloud platform 10 and the shared service node 21 The resources of the second cloud platform 20 are managed, and appropriate service nodes are matched for subtasks based on the basic information of each service node.
作为示例,服务节点的基本信息可以包括操作系统、CPU、内存规格、支持的数据类型等信息。As an example, the basic information of the service node may include information such as operating system, CPU, memory specifications, and supported data types.
示例性的,云管控平台30确定与子任务对应的目标服务节点,具体可以包括:获取子任务的基本信息,子任务的基本信息包括子任务运行需求;将子任务运行需求与各个服务节点的基本信息进行匹配,得到与子任务对应的目标服务节点。Exemplarily, the cloud management and control platform 30 determines the target service node corresponding to the subtask, which may specifically include: obtaining the basic information of the subtask. The basic information of the subtask includes the operation requirements of the subtask; The basic information is matched to obtain the target service node corresponding to the subtask.
作为示例,子任务的运行需求可以包括操作系统要求、CPU和内存规格等。基于子任务的运行需求、以及第一云平台10和第二云平台20中各个服务节点的基本信息,可以为各个子任务匹配合适的服务节点,从而确定各个子任务对应的目标服务节点,实现按照各子任务的运行需求,混合编排第一云平台10或者第二云平台20的服务资源。如此,可以做到资源的合理配置,以及为用户提供较经济的资源编排策略。As an example, the running requirements of the subtasks may include operating system requirements, CPU and memory specifications, and so on. 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, the appropriate service node can be matched for each subtask, so as to determine the target service node corresponding to each subtask. According to the operation requirements of each subtask, the service resources of the first cloud platform 10 or the second cloud platform 20 are arranged in a mixed manner. In this way, a reasonable allocation of resources can be achieved, and a more economical resource scheduling strategy can be provided for users.
在一些实施例中,云管控平台30还用于将子任务部署在对应的目标服务节点上。当确定各个子任务对应的目标服务节点后,在目标服务节点上部署对应的子任务,以完成云服务的创建。In some embodiments, the cloud management and control platform 30 is also used to deploy subtasks on corresponding target service nodes. After determining the target service node corresponding to each subtask, deploy the corresponding subtask on the target service node to complete the creation of the cloud service.
示例性的,云管控平台30将子任务部署在对应的目标服务节点上,具体可以包括:获取子任务的部署拓扑描述信息,部署拓扑描述信息包括:子任务来源和部署运行脚本;根据子任务的子任务来源,获取与子任务对应的安装文件;通过子任务的部署运行脚本,将安装文件安装在与子任务对应的目标服务节点上。如此,能够实现将各个子任务部署在各自匹配的目标服务节点上。Exemplarily, the cloud management and control platform 30 deploys the subtask on the corresponding target service node, which may specifically include: obtaining deployment topology description information of the subtask. The deployment topology description information includes: the source of the subtask and the deployment running script; according to the subtask The subtask source of the subtask is to obtain the installation file corresponding to the subtask; the installation file is installed on the target service node corresponding to the subtask by running the script through the deployment of the subtask. In this way, it is possible to deploy each subtask on each matched target service node.
在一些实施例中,云管控平台30还用于:获取多个子任务之间的依赖关系;根据多个子任务之间的依赖关系,确定各个子任务的部署顺序;根据部署顺序,依次将各个子任务部署在各自对应的目标服务节点上。例如,子任务A、子任务B和子任务C的依赖关系为:子任务A需要在子任务B结束之后部署,子任务C无直接依赖关系。这样,可以确定上述子任务的先后部署顺序为子任务C、子任务B、子任务A。In some embodiments, the cloud management and control platform 30 is also used to: obtain the dependency relationship between multiple subtasks; determine the deployment order of each subtask according to the dependency relationship between the multiple subtasks; The tasks are deployed on their respective target service nodes. For example, the dependency of subtask A, subtask B, and subtask C is: subtask A needs to be deployed after subtask B ends, and subtask C has no direct dependency. In this way, it can be determined that the sequence of the above-mentioned subtasks is subtask C, subtask B, and subtask A.
在按照部署顺序对子任务进行部署的时候,首先要按照该部署顺序以及当前已经完成部署的子任务,确定当前待部署的子任务,然后对当前待部署的子任务进行部署。例如,当前已完全部署子任务C和子任务B,则可以确定当前待部署的子任务为子任务A,然后将子任务A部 署在其对应的目标服务节点上。When deploying subtasks according to the deployment sequence, first determine the subtasks currently to be deployed according to the deployment sequence and the currently completed subtasks, and then deploy the subtasks currently to be deployed. For example, if subtask C and subtask B are currently fully deployed, the subtask to be deployed currently is determined as subtask A, and then subtask A is deployed on its corresponding target service node.
在一些实施例中,云管控平台30还用于检测所有子任务是否均完成部署,以确定当前没有待部署的子任务。In some embodiments, the cloud management and control platform 30 is also used to detect whether all subtasks have been deployed, so as to determine that there are no subtasks to be deployed currently.
在一实施方式中,云管控平台30还用于:当所有子任务均已完成部署后,汇总各个子任务对应的目标服务节点输出的服务结果,并返回服务结果至用户,以便用户对结果进行检测,确保子任务部署的可靠性。In one embodiment, the cloud management and control platform 30 is also used to: after all subtasks have been deployed, summarize the service results output by the target service node corresponding to each subtask, and return the service results to the user so that the user can check the results. Check to ensure the reliability of sub-task deployment.
作为示例,对于存在依赖关系的子任务,云管控平台30可以从前置子任务的目标服务节点中获取对应的服务结果,以便于当前子任务的目标服务节点基于前置子任务的结果处理当前子任务。As an example, for subtasks that have dependencies, the cloud management and control platform 30 may obtain the corresponding service results from the target service node of the pre-subtask, so that the target service node of the current subtask can process the current subtask based on the result of the pre-subtask. Subtasks.
本发明实施例提供的云计算服务系统,包括基于专属服务节点11集群的第一云平台10和基于共享服务节点21集群的第二云平台20,通过云管控平台30对第一云平台10和第二云平台20的自己进行集中调度和管理,能够灵活地为一个云服务请求中包含的多个子任务分配第一云平台10或者第二云平台20的服务节点资源,实现云服务资源的混合编排,有效利用了共享服务节点21中闲置的资源,避免资源浪费,以及为用户提供较经济的资源编排策略。The cloud computing service system provided by the embodiment of the present invention includes a first cloud platform 10 based on a cluster of dedicated service nodes 11 and a second cloud platform 20 based on a cluster of shared service nodes 21. The second cloud platform 20 performs centralized scheduling and management by itself, and can flexibly allocate the service node resources of the first cloud platform 10 or the second cloud platform 20 to multiple subtasks included in a cloud service request, thereby realizing the mixing of cloud service resources The arrangement effectively utilizes the idle resources in the shared service node 21, avoids resource waste, and provides users with a more economical resource arrangement strategy.
图2示出了本发明实施例提供的一种云计算服务方法的流程图。该云计算服务方法应用于图1所示的云计算服务系统中的云管控平台30。如图1所示,云计算服务系统还包括第一云平台10和第二云平台20,其中第一云平台10包括多个专属服务节点11,第二云平台20包括多个共享服务节点21。如图2所示,该云计算服务方法包括如下步骤S100至S200。Fig. 2 shows a flowchart of a cloud computing service method provided by 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, where 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 Figure 2, the cloud computing service method includes the following steps S100 to S200.
S100,接收用户提交的包含多个子任务的云服务请求。S100: Receive a cloud service request including multiple subtasks submitted by a user.
示例性的,云管控平台为用户提供访问云计算服务系统的入口,提供多种类型云平台资源混合编排蓝图,可以允许用户对期望的任务进行编排。用户可通过云管控平台提交自身的云服务请求。用户请求的云服务可以被划分成多个子任务,各个子任务被分配至不同的服务节点执行,以利用对应的服务节点的资源实现分布式计算。Exemplarily, the cloud management and control platform provides users with access to the cloud computing service system, and provides a blueprint for the hybrid orchestration of multiple types of cloud platform resources, which can allow users to orchestrate desired tasks. Users can submit their own cloud service requests through the cloud management and control platform. The cloud service requested by the user can be divided into multiple subtasks, and each subtask is allocated to different service nodes for execution, so as to use the resources of the corresponding service node to implement distributed computing.
S200,确定与子任务对应的目标服务节点,以通过目标服务节点为子任务提供服务资源;其中,目标服务节点为第一云平台中的专属服务节点或者第二云平台中的共享服务节点。S200: Determine a target service node corresponding to the subtask to provide service resources for the subtask through the target service node; wherein the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform.
示例性的,各个子任务对应的目标服务节点可以是不同类型云平台中的服务节点。具体的,目标服务节点可以是第一云平台中的专属服务节点或者第二云平台中的共享服务节点,由此实现对第一云平台和第二云平台的资源的混合编排。Exemplarily, 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 a dedicated service node in the first cloud platform or a shared service node in the second cloud platform, thereby realizing hybrid orchestration of resources of the first cloud platform and the second cloud platform.
例如,某用户提交的云服务请求中包含了子任务A、子任务B和子任务C,子任务A、子任务B和子任务C分别对应的目标服务节点为第一专属服务节点、第一共享服务节点和第二专属服务节点。For example, a cloud service request submitted by a user includes subtask A, subtask B, and subtask C. The target service nodes corresponding to subtask A, subtask B, and subtask C are the first dedicated service node and the first shared service. Node and second dedicated service node.
如图3所示,在一些实施例中,本发明实施例的云计算服务方法,还可以包括步骤S300,收集第一云平台中的专属服务节点和第二云平台中的共享服务节点的基本信息。如此,可以实现对第一云平台和第二云平台的资源进行管理,以及基于各服务节点的基本信息为子任务匹配合适的服务节点。As shown in FIG. 3, in some embodiments, the cloud computing service method of the embodiment of the present invention may further include step S300, collecting basic information about the dedicated service node in the first cloud platform and the shared service node in the second cloud platform. information. In this way, it is possible to manage the resources of the first cloud platform and the second cloud platform, and to match appropriate service nodes for subtasks based on the basic information of each service node.
作为示例,服务节点的基本信息可以包括操作系统、CPU、内存规格、支持的数据类型等信息。As an example, the basic information of the service node may include information such as operating system, CPU, memory specifications, and supported data types.
如图3所示,具体的,结合步骤S300,上述步骤S200中确定与子任务对应的目标服务节点,可以通过如下的步骤S210至S220实现。As shown in FIG. 3, specifically, in combination with step S300, the determination of the target service node corresponding to the subtask in the above step S200 can be implemented through the following steps S210 to S220.
S210,获取子任务的基本信息,子任务的基本信息包括子任务运行需求;S210: Acquire basic information of the subtask, where the basic information of the subtask includes the operation requirements of the subtask;
S220,将子任务运行需求与各个服务节点的基本信息进行匹配,得到与子任务对应的目标服务节点。S220: Match the operation requirements of the subtask with the basic information of each service node to obtain a target service node corresponding to the subtask.
作为示例,子任务的运行需求可以包括操作系统要求、CPU和内存规格等;基于子任务的运行需求、以及第一云平台和第二云平台中各个服务节点的基本信息,可以为各个子任务匹配合适的服务节点,从而确定各个子任务对应的目标服务节点,实现按照各子任务的运行需求,混合编排第一云平台或者第二云平台的服务资源。如此,可以做到资源的合理配置,以及为用户提供较经济的资源编排策略。As an example, the operating requirements of the subtasks may include operating system requirements, CPU and memory specifications, etc.; based on the operating requirements of the subtasks, and the basic information of each service node in the first cloud platform and the second cloud platform, it can be each subtask Match the appropriate service node to determine the target service node corresponding to each subtask, and realize the hybrid orchestration of the service resources of the first cloud platform or the second cloud platform according to the operation requirements of each subtask. In this way, a reasonable allocation of resources can be achieved, and a more economical resource scheduling strategy can be provided for users.
如图4所示,在一些实施例中,本发明实施例的云计算服务方法,还包括步骤S400,将子任务部署在对应的目标服务节点上。如此,能够实现将各个子任务部署在各自匹配的目标服务节点上。As shown in FIG. 4, in some embodiments, the cloud computing service method of the embodiment of the present invention further includes step S400 of deploying subtasks on corresponding target service nodes. In this way, it is possible to deploy each subtask on each matched target service node.
如图5所示,具体的,步骤S400中将子任务部署在对应的目标服务节点上,可以通过如下的步骤S410至S430实现。As shown in FIG. 5, specifically, deploying the subtasks on the corresponding target service node in step S400 can be implemented through the following steps S410 to S430.
S410,获取子任务的部署拓扑描述信息,部署拓扑描述信息包括:子任务来源和部署运行脚本;S410: Acquire deployment topology description information of the subtask, where the deployment topology description information includes: the source of the subtask and the deployment running script;
S420,根据子任务的子任务来源,获取与子任务对应的安装文件;S420: Obtain an installation file corresponding to the subtask according to the subtask source of the subtask;
S430,通过子任务的部署运行脚本,将安装文件安装在与子任务对应的目标服务节点上。S430: Install the installation file on the target service node corresponding to the subtask through the deployment and execution script of the subtask.
如图6所示,在一些实施例中,本发明实施例的云计算服务方法,还包括如下的步骤S510至步骤S530。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,获取多个子任务之间的依赖关系;S510: Obtain a dependency relationship between multiple subtasks;
S520,根据多个子任务之间的依赖关系,确定各个子任务的部署顺序;S520: Determine the deployment sequence of each subtask according to the dependency relationship between the multiple subtasks;
S530,根据部署顺序,依次将各个子任务部署在各自对应的目标服务节点上。S530, according to the deployment sequence, deploy each subtask on the respective target service node in turn.
示例性的,对于多个子任务之间存在依赖关系的,需要根据子任务之间的依赖关系确定各 个子任务的部署顺序,根据部署顺序对各个子任务进行部署。例如,子任务A、子任务B和子任务C的依赖关系为:子任务A需要在子任务B结束之后部署,子任务C无直接依赖关系。这样,可以确定上述子任务的先后部署顺序为子任务C、子任务B、子任务A。Exemplarily, for multiple subtasks that have a dependency relationship, it is necessary to determine the deployment sequence of each subtask according to the dependency relationship between the subtasks, and deploy each subtask according to the deployment sequence. For example, the dependency of subtask A, subtask B, and subtask C is: subtask A needs to be deployed after subtask B ends, and subtask C has no direct dependency. In this way, it can be determined that the sequence of the above-mentioned subtasks is subtask C, subtask B, and subtask A.
在按照部署顺序对子任务进行部署的时候,首先要按照该部署顺序以及当前已经完成部署的子任务,确定当前待部署的子任务,然后对当前待部署的子任务进行部署。例如,当前已完全部署子任务C和子任务B,则可以确定当前待部署的子任务为子任务A,然后将子任务A部署在其对应的目标服务节点上。When deploying subtasks according to the deployment sequence, first determine the subtasks currently to be deployed according to the deployment sequence and the currently completed subtasks, and then deploy the subtasks currently to be deployed. For example, if subtask C and subtask B are currently fully deployed, the subtask to be deployed currently is determined to be subtask A, and then subtask A is deployed on its corresponding target service node.
在一些实施例中,本发明实施例的云计算服务方法,还包括步骤S600,检测所有子任务是否均完成部署,以确定当前没有待部署的子任务。In some embodiments, the cloud computing service method of the embodiment of the present invention further includes step S600 of detecting whether all subtasks have been deployed, so as to determine that there are no subtasks to be deployed currently.
在一些实施例中,本发明实施例的云计算服务方法,还包括S700,当所有子任务均已完成部署,汇总各个子任务对应的目标服务节点输出的服务结果,并返回服务结果至用户,以便用户对结果进行检测,确保子任务部署的可靠性。In some embodiments, the cloud computing service method of the embodiment of the present invention further includes S700. When all subtasks have been deployed, the service results output by the target service node corresponding to each subtask are summarized, and the service results are returned to the user. So that users can check the results to ensure the reliability of sub-task deployment.
本发明实施例提供的云计算服务方法,能够灵活地为一个云服务请求中包含的多个子任务分配第一云平台或者第二云平台的服务节点资源,实现云服务资源的混合编排,有效利用了共享服务节点中闲置的资源,避免资源浪费,以及为用户提供较经济的资源编排策略。The cloud computing service method provided by the embodiment of the present invention can flexibly allocate the service node resources of the first cloud platform or the second cloud platform to multiple subtasks included in a cloud service request, realize the hybrid orchestration of cloud service resources, and effectively use In order to share the idle resources in the service node, avoid resource waste, and provide users with a more economical resource scheduling strategy.
图7示出了本发明实施例提供的电子设备40。如图7所示,该电子设备40包括但不限于: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:
存储器42,用于存储程序;The memory 42 is used to store programs;
处理器41,用于执行存储器42存储的程序,当处理器41执行存储器42存储的程序时,处理器41用于执行上述的终端选定方法。The processor 41 is configured to execute the program stored in the memory 42. When the processor 41 executes the program stored in the memory 42, the processor 41 is configured to execute the aforementioned terminal selection method.
处理器41和存储器42可以通过总线或者其他方式连接。The processor 41 and the memory 42 may be connected by a bus or in other ways.
存储器42作为一种非暂态计算机可读存储介质,可用于存储非暂态软件程序以及非暂态性计算机可执行程序,如本发明实施例描述的终端选定方法。处理器41通过运行存储在存储器42中的非暂态软件程序以及指令,从而实现上述的终端选定方法。As a non-transitory computer-readable storage medium, the memory 42 can be used to store non-transitory software programs and non-transitory computer-executable programs, such as the terminal selection method described in the embodiment of the present invention. The processor 41 executes the non-transitory software programs and instructions stored in the memory 42 to implement the above-mentioned terminal selection method.
存储器42可以包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需要的应用程序;存储数据区可存储执行上述的终端选定方法。此外,存储器42可以包括高速随机存取存储器,还可以包括非暂态存储器,例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施方式中,存储器42可能包括相对于处理器41远程设置的存储器,这些远程存储器可以通过网络连接至该处理器41。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。The memory 42 may include a storage program area and a storage data area. The storage program area may store an operating system and an application program required by at least one function; the storage data area may store and execute the aforementioned terminal selection method. In addition, the memory 42 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some implementations, the memory 42 may include a memory remotely provided with respect to the processor 41, and these remote memories may be connected to the processor 41 through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
实现上述的终端选定方法所需的非暂态软件程序以及指令存储在存储器42中,当被一个或者多个处理器41执行时,执行上述的终端选定方法,例如,执行图2中描述的方法步骤S100 至S200,图3中描述的方法步骤S300和S220,图4中描述的方法步骤S100和S400,图5中描述的方法步骤S410至S430,图6中描述的方法步骤S100至S530。The non-transitory software programs and instructions required to implement the above-mentioned terminal selection method are stored in the memory 42, and when executed by one or more processors 41, the above-mentioned terminal selection method is executed, for example, as described in FIG. 2 The method steps S100 to S200, the method steps S300 and S220 described in Fig. 3, the method steps S100 and S400 described in Fig. 4, the method steps S410 to S430 described in Fig. 5, the method steps S100 to S530 described in Fig. 6 .
本发明实施例还提供了一种存储介质,存储有计算机可执行指令,计算机可执行指令用于执行上述的云计算服务方法。The embodiment of the present invention also provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the aforementioned cloud computing service method.
在一实施例中,该存储介质存储有计算机可执行指令,该计算机可执行指令被一个或多个控制处理器41执行,例如,被上述电子设备40中的一个处理器41执行,可使得上述一个或多个处理器41执行上述的云计算服务方法,例如,图2中描述的方法步骤S100至S200,图3中描述的方法步骤S300和S220,图4中描述的方法步骤S100和S400,图5中描述的方法步骤S410至S430,图6中描述的方法步骤S100至S530。In an embodiment, the storage medium stores computer-executable instructions that are executed by one or more control processors 41, for example, executed by a processor 41 in the above-mentioned electronic device 40, so that the above-mentioned One or more processors 41 execute the aforementioned cloud computing service method, for example, the method steps S100 to S200 described in FIG. 2, the method steps S300 and S220 described in FIG. 3, and the method steps S100 and S400 described in FIG. 4, The method steps S410 to S430 are described in FIG. 5 and the method steps S100 to S530 are described in FIG. 6.
基于本发明的实施例,云管控平台能够为用户的云服务请求中包含的多个子任务分配不同类型的第一云平台或者第二云平台的服务节点资源,实现云服务资源的混合编排,有效利用了共享服务节点中闲置的资源,避免资源浪费,以及为用户提供较经济的资源编排策略。Based on the embodiments of the present 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 for the multiple subtasks included in the user's cloud service request, thereby realizing the hybrid orchestration of cloud service resources, which is effective Utilize the idle resources in the shared service node, avoid resource waste, and provide users with a more economical resource scheduling strategy.
本发明实施例包括:接收用户提交的包含多个子任务的云服务请求;确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;其中,所述目标服务节点为所述第一云平台中的专属服务节点或者所述第二云平台中的共享服务节点。基于本发明的实施例,云管控平台能够为用户的云服务请求中包含的多个子任务灵活分配不同类型的第一云平台或者第二云平台的服务节点资源,实现云服务资源的混合编排,有效利用了共享服务节点中闲置的资源,避免资源浪费,以及为用户提供较经济的资源编排策略。The embodiment of the present invention includes: receiving a cloud service request including multiple subtasks submitted by a user; 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 a dedicated service node in the first cloud platform or a shared service node in the second cloud platform. Based on the embodiments of the present 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 the multiple subtasks included in the user's cloud service request, so as to realize the hybrid orchestration of cloud service resources. It effectively utilizes the idle resources in the shared service node, avoids resource waste, and provides users with a more economical resource scheduling strategy.
以上所描述的实施例仅仅是示意性的,其中作为分离部件说明的单元可以是或者也可以不是物理上分开的,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。The embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
本领域普通技术人员可以理解,上文中所公开方法中的全部或某些步骤、系统可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器,如中央处理器、数字信号处理器或微处理器执行的软件,或者被实施为硬件,或者被实施为集成电路,如专用集成电路。这样的软件可以分布在计算机可读介质上,计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的,术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外,本领域普通技术人员公知的是, 通信介质通常包括计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据,并且可包括任何信息递送介质。A person of ordinary skill in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on a computer-readable medium, and the computer-readable medium may include a computer storage medium (or a non-transitory medium) and a communication medium (or a transitory medium). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile data implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Sexual, removable and non-removable media. Computer storage media include but are not limited to RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or Any other medium used to store desired information and that can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media usually include computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as carrier waves or other transmission mechanisms, and may include any information delivery media. .
以上是对本发明的一些实施进行了具体说明,但本发明并不局限于上述实施方式,熟悉本领域的技术人员在不违背本发明范围的共享条件下还可作出种种等同的变形或替换,这些等同的变形或替换均包括在本发明权利要求所限定的范围内。The above is a specific description of some implementations of the present invention, but the present invention is not limited to the above-mentioned embodiments. Those skilled in the art can also make various equivalent modifications or substitutions under the sharing conditions that do not violate the scope of the present invention. Equivalent modifications or replacements are all included in the scope defined by the claims of the present invention.

Claims (16)

  1. 一种云计算服务系统,包括:A cloud computing service system, including:
    第一云平台,包括多个专属服务节点;The first cloud platform, including multiple dedicated service nodes;
    第二云平台,包括多个共享服务节点;The second cloud platform includes multiple shared service nodes;
    云管控平台,用于接收用户提交的包含多个子任务的云服务请求,确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;The cloud management and control platform is configured to receive a cloud service request including multiple subtasks submitted by a user, and determine a target service node corresponding to the subtask, so as to provide service resources for the subtask through the target service node;
    其中,所述目标服务节点为所述第一云平台中的专属服务节点或者所述第二云平台中的共享服务节点。Wherein, the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform.
  2. 根据权利要求1所述的云计算服务系统,其中,所述云管控平台还用于:The cloud computing service system according to claim 1, wherein the cloud management and control platform is further used for:
    收集所述第一云平台中的专属服务节点和所述第二云平台中的共享服务节点的基本信息。Collect basic information of the dedicated service node in the first cloud platform and the shared service node in the second cloud platform.
  3. 根据权利要求2所述的云计算服务系统,其中,所述云管控平台确定与所述子任务对应的目标服务节点,包括:The cloud computing service system according to claim 2, wherein the cloud management and control platform determines the target service node corresponding to the subtask, comprising:
    获取所述子任务的基本信息,所述子任务的基本信息包括子任务运行需求;Acquiring basic information of the subtask, where the basic information of the subtask includes subtask running requirements;
    将所述子任务运行需求与各个服务节点的基本信息进行匹配,得到与所述子任务对应的目标服务节点。Matching the operation requirements of the subtask with the basic information of each service node to obtain the target service node corresponding to the subtask.
  4. 根据权利要求1所述的云计算服务系统,其中,所述云管控平台还用于:The cloud computing service system according to claim 1, wherein the cloud management and control platform is further used for:
    将所述子任务部署在对应的所述目标服务节点上。The subtask is deployed on the corresponding target service node.
  5. 根据权利要求4所述的云计算服务系统,其中,所述云管控平台将所述子任务部署在对应的所述目标服务节点上,包括:The cloud computing service system according to claim 4, wherein the cloud management and control platform deploys the subtask on the corresponding target service node, comprising:
    获取所述子任务的部署拓扑描述信息,所述部署拓扑描述信息包括:子任务来源和部署运行脚本;Acquiring deployment topology description information of the subtask, where the deployment topology description information includes: the source of the subtask and the deployment running script;
    根据所述子任务的子任务来源,获取与所述子任务对应的安装文件;Obtaining the installation file corresponding to the subtask according to the subtask source of the subtask;
    通过所述子任务的部署运行脚本,将所述安装文件安装在与所述子任务对应的所述目标服务节点上。The installation file is installed on the target service node corresponding to the subtask through the deployment and running script of the subtask.
  6. 根据权利要求1所述的云计算服务系统,其中,The cloud computing service system according to claim 1, wherein:
    所述云管控平台还用于:The cloud management and control platform is also used for:
    获取所述多个子任务之间的依赖关系;Acquiring the dependency relationship between the multiple subtasks;
    根据所述多个子任务之间的依赖关系,确定各个子任务的部署顺序;Determine the deployment sequence of each subtask according to the dependency between the multiple subtasks;
    根据所述部署顺序,依次将各个子任务部署在各自对应的目标服务节点上。According to the deployment sequence, each subtask is sequentially deployed on the respective target service node.
  7. 根据权利要求6所述的云计算服务系统,其中,所述云管控平台还用于:The cloud computing service system according to claim 6, wherein the cloud management and control platform is further used for:
    检测所有子任务是否均完成部署;Check whether all subtasks have been deployed;
    当所有子任务均已完成部署,汇总各个子任务对应的目标服务节点输出的服务结果,并返回所述服务结果至用户。When all the subtasks have been deployed, the service results output by the target service node corresponding to each subtask are summarized, and the service results are returned to the user.
  8. 一种云计算服务方法,应用于云计算服务系统的云管控平台,所述云计算服务系统还包括第一云平台和第二云平台,其中所述第一云平台包括多个专属服务节点,所述第二云平台包括多个共享服务节点;所述方法包括:A cloud computing service method is applied to a cloud management and control platform of a cloud computing service system. The cloud computing service system further includes a first cloud platform and a second cloud platform, wherein the first cloud platform includes a plurality of dedicated service nodes, The second cloud platform includes a plurality of shared service nodes; the method includes:
    接收用户提交的包含多个子任务的云服务请求;Receive cloud service requests that include multiple subtasks submitted by users;
    确定与所述子任务对应的目标服务节点,以通过所述目标服务节点为所述子任务提供服务资源;Determining a target service node corresponding to the subtask, so as to provide service resources for the subtask through the target service node;
    其中,所述目标服务节点为所述第一云平台中的专属服务节点或者所述第二云平台中的共享服务节点。Wherein, the target service node is a dedicated service node in the first cloud platform or a shared service node in the second cloud platform.
  9. 根据权利要求8所述的一种云计算服务方法,还包括:A cloud computing service method according to claim 8, further comprising:
    收集所述第一云平台中的专属服务节点和所述第二云平台中的共享服务节点的基本信息。Collect basic information of the dedicated service node in the first cloud platform and the shared service node in the second cloud platform.
  10. 根据权利要求9所述的一种云计算服务方法,其中,所述确定与所述子任务对应的目标服务节点,包括:A cloud computing service method according to claim 9, wherein said determining the target service node corresponding to said subtask comprises:
    获取所述子任务的基本信息,所述子任务的基本信息包括子任务运行需求;Acquiring basic information of the subtask, where the basic information of the subtask includes subtask running requirements;
    将所述子任务运行需求与各个服务节点的基本信息进行匹配,得到与所述子任务对应的目标服务节点。Matching the operation requirements of the subtask with the basic information of each service node to obtain the target service node corresponding to the subtask.
  11. 根据权利要求8所述的一种云计算服务方法,还包括:A cloud computing service method according to claim 8, further comprising:
    将所述子任务部署在对应的所述目标服务节点上。The subtask is deployed on the corresponding target service node.
  12. 根据权利要求11所述的一种云计算服务方法,其中,所述将所述子任务部署在对应的所述目标服务节点上,包括:A cloud computing service method according to claim 11, wherein the deploying the subtask on the corresponding target service node comprises:
    获取所述子任务的部署拓扑描述信息,所述部署拓扑描述信息包括:子任务来源和部署运行脚本;Acquiring deployment topology description information of the subtask, where the deployment topology description information includes: the source of the subtask and the deployment running script;
    根据所述子任务的子任务来源,获取与所述子任务对应的安装文件;Obtaining the installation file corresponding to the subtask according to the subtask source of the subtask;
    通过所述子任务的部署运行脚本,将所述安装文件安装在与所述子任务对应的所述目标服务节点上。The installation file is installed on the target service node corresponding to the subtask through the deployment and running script of the subtask.
  13. 根据权利要求8所述的一种云计算服务方法,还包括:A cloud computing service method according to claim 8, further comprising:
    获取所述多个子任务之间的依赖关系;Acquiring the dependency relationship between the multiple subtasks;
    根据所述多个子任务之间的依赖关系,确定各个子任务的部署顺序;Determine the deployment sequence of each subtask according to the dependency between the multiple subtasks;
    根据所述部署顺序,依次将各个子任务部署在各自对应的目标服务节点上。According to the deployment sequence, each subtask is sequentially deployed on the respective target service node.
  14. 根据权利要求13所述的一种云计算服务方法,还包括:A cloud computing service method according to claim 13, further comprising:
    检测所有子任务是否均完成部署;Check whether all subtasks have been deployed;
    当所有子任务均已完成部署,汇总各个子任务对应的目标服务节点输出的服务结果,并返回所述服务结果至用户。When all the subtasks have been deployed, the service results output by the target service node corresponding to each subtask are summarized, and the service results are returned to the user.
  15. 一种电子设备,包括:An electronic device including:
    存储器,用于存储程序;Memory, used to store programs;
    处理器,用于执行所述存储器存储的程序,当所述处理器执行所述存储器存储的程序时,所述处理器用于执行:The processor is configured to execute the program stored in the memory, and when the processor executes the program stored in the memory, the processor is configured to execute:
    如权利要求8至14中任一项所述的方法。The method of any one of claims 8-14.
  16. 一种存储介质,其中,存储有计算机可执行指令,所述计算机可执行指令用于执行:A storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are used to execute:
    如权利要求8至14中任一项所述的方法。The method of any one of claims 8-14.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115604101A (en) * 2022-09-29 2023-01-13 北京亚控科技发展有限公司(Cn) System management method and related equipment
CN116909751A (en) * 2023-09-11 2023-10-20 北京蓝耘科技股份有限公司 Resource allocation method in cloud computing system
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

Families Citing this family (2)

* Cited by examiner, † Cited by third party
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
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

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101719931A (en) * 2009-11-27 2010-06-02 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

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101719931A (en) * 2009-11-27 2010-06-02 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

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115604101A (en) * 2022-09-29 2023-01-13 北京亚控科技发展有限公司(Cn) System management method and related equipment
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
CN116909751A (en) * 2023-09-11 2023-10-20 北京蓝耘科技股份有限公司 Resource allocation method in cloud computing system
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
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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