CN112637304A - Cross-cloud resource processing system and resource management method - Google Patents
Cross-cloud resource processing system and resource management method Download PDFInfo
- Publication number
- CN112637304A CN112637304A CN202011487550.2A CN202011487550A CN112637304A CN 112637304 A CN112637304 A CN 112637304A CN 202011487550 A CN202011487550 A CN 202011487550A CN 112637304 A CN112637304 A CN 112637304A
- Authority
- CN
- China
- Prior art keywords
- cloud
- resource
- subsystem
- heterogeneous
- management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- H04L67/60—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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45562—Creating, deleting, cloning virtual machine instances
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45575—Starting, stopping, suspending or resuming virtual machine instances
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Stored Programmes (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a cross-cloud resource processing system and a resource management method, comprising a multi-cloud adaptation subsystem, a multi-cloud nanotube scheduling subsystem and a multi-cloud resource management subsystem; the multi-cloud admission management scheduling subsystem is connected with the multi-cloud resource management subsystem and is used for carrying out admission management processing and resource scheduling processing on the multiple cloud platforms and the multiple heterogeneous resource pools; the multi-cloud resource management subsystem is respectively connected with the multi-cloud admission scheduling subsystem and the multi-cloud adaptation subsystem and is used for carrying out resource management on the plurality of cloud platforms and the plurality of heterogeneous resource pools after admission processing and generating resource management commands so as to send the resource management commands to the multi-cloud adaptation subsystem; and the multi-cloud adaptation subsystem is used for providing a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, and forwarding the received resource management command to the plurality of cloud platforms and the plurality of heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a cross-cloud resource processing system and a resource management method.
Background
With the continuous development of cloud computing technology, the number of various types of resource pools and cloud platforms is increasing. The cloud computing platform forms a large amount of cloud resources by utilizing a resource pool formed by a virtualization technology. The same company may use multiple types of cloud platforms and resource pools together, and at this time, the phenomenon that multiple types of cloud platforms and multiple types of resource pools coexist exists.
In order to fully utilize the resource pool, the resource pools of various types and the cloud platform need to be managed in a unified manner. At present, a plurality of types of cloud platforms and resource pools are combined together in advance through a special server, so that the resource pools and the cloud platforms of different types are uniformly managed. Because each cloud platform and each resource pool have a scheduling and management method, in a complex cloud computing environment, unified management on multiple resource pools and cloud platforms of different types cannot be realized through the method, so that the scheduling efficiency of resources of different types is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a cross-cloud resource processing system and a resource management method, so as to solve the problem in the prior art that the scheduling efficiency of different types of resources is low.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
the first aspect of the embodiment of the present invention shows a cross-cloud resource processing system, where the cross-cloud resource processing system includes a multi-cloud adaptation subsystem, a multi-cloud nanotube scheduling subsystem, and a multi-cloud resource management subsystem;
the multi-cloud admission management scheduling subsystem is connected with the multi-cloud resource management subsystem and is used for carrying out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools;
the multi-cloud resource management subsystem is respectively connected with the multi-cloud admission scheduling subsystem and the multi-cloud adapter subsystem and is used for carrying out resource management on the plurality of cloud platforms and the plurality of heterogeneous resource pools after admission processing, generating a resource management command and sending the resource management command to the multi-cloud adapter subsystem;
the multi-cloud adaptation subsystem is used for providing the access interfaces of the cloud platforms and the heterogeneous resource pools and forwarding the received resource management command to the cloud platforms and the heterogeneous resource pools.
Optionally, the method includes:
the multi-cloud adaptation subsystem is provided with cloud platform adapters and resource pool adapters, each cloud platform adapter is accessed to one cloud platform, and each resource pool adapter is accessed to one heterogeneous resource pool;
the multi-cloud resource management subsystem is connected with each cloud platform adapter and each resource pool adapter through a calling interface, and is used for sending cloud resource management commands to an accessed cloud platform through each cloud platform adapter and sending resource management commands to an accessed heterogeneous resource pool through each resource pool adapter.
Optionally, the cloud platform adapter is further configured to: determining the type of the accessed cloud platform, and calling a packaging mode corresponding to the type of the cloud platform to package the cloud platform;
the resource pool adapter is further to: and determining the type of the accessed heterogeneous resource pool, and calling an encapsulation mode corresponding to the type of the heterogeneous resource pool to encapsulate the heterogeneous resource pool.
Optionally, the multi-cloud nanotube scheduling subsystem includes a multi-cloud nanotube module;
the multi-cloud-nano-tube module is used for virtualizing resources in a plurality of cloud platforms and a plurality of heterogeneous resource pools into a virtual data center by using a virtualization technology, and managing the cloud platforms and the heterogeneous resource pools based on the virtual data center.
Optionally, the multi-cloud nanotube scheduling subsystem includes an orchestration scheduling module;
the scheduling module is used for calculating the resources of the cloud platforms and the heterogeneous resource pools to obtain resource use data of the cloud platforms and the heterogeneous resource pools; and scheduling the resources of the plurality of cloud platforms and the plurality of heterogeneous resource pools according to a resource request of a user and a preset multi-user hierarchical scheduling strategy and a preset resource allocation strategy, wherein the resource request of the user is acquired based on the multi-cloud resource management subsystem.
Optionally, the scheduling module is further configured to: and pre-allocating resources for the user according to the resource use data of the cloud platform and the heterogeneous resource pool, the resource application data of the user counted in the multi-cloud resource management subsystem and the initial resources of the user.
Optionally, the multi-cloud resource management subsystem includes: a cloud lifecycle management module;
the multi-cloud life cycle management module is used for applying, creating, delivering, operating and maintaining resources and releasing and destroying management on the cloud platforms and the heterogeneous resource pools after the nano management processing is carried out, generating corresponding resource management commands, and sending the resource management commands to the multi-cloud adaptation subsystem so that the cloud platforms and the heterogeneous resource pools pass through the multi-cloud adaptation subsystem to receive the resource management commands, and based on the resource management commands, corresponding operation is carried out on the resources of the cloud platforms and the heterogeneous resource pools.
Optionally, a resource view module is further disposed in the multi-cloud resource management subsystem;
and the resource view module is used for counting the resource use data of the plurality of cloud platforms and the plurality of heterogeneous resource pools, which are obtained by the calculation of the scheduling module, counting the resource application data of the user and displaying the resource application data.
Optionally, a resource allocation module is further disposed in the multi-cloud resource management subsystem;
the resource allocation module is used for acquiring the resource use data of the cloud platform and the heterogeneous resource pool, which are obtained by calculation in the scheduling module; and determining initial resources of the user according to the resource use data of the cloud platform and the heterogeneous resource pools, preset resource grading strategies and resource application information of the user, and allocating resources in the plurality of cloud platforms and the plurality of heterogeneous resource pools to the user based on the initial resources, wherein the resource application information of the user comprises minimum resources required by the user.
A resource management method disclosed in a second aspect of the embodiments of the present invention includes:
the multi-cloud admission management scheduling subsystem carries out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools;
the multi-cloud resource management subsystem performs resource management on the cloud platforms and the heterogeneous resource pools after the nano management processing, generates a resource management command and sends the resource management command to the multi-cloud adaptation subsystem;
the multi-cloud adaptation subsystem provides the plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, and forwards the received resource management command to the plurality of cloud platforms and the plurality of heterogeneous resource pools.
Based on the cross-cloud resource processing system and the resource management method provided by the embodiment of the invention, the cross-cloud resource processing system comprises a multi-cloud adaptation subsystem, a multi-cloud nanotube scheduling subsystem and a multi-cloud resource management subsystem; the multi-cloud admission management scheduling subsystem is connected with the multi-cloud resource management subsystem and is used for carrying out admission management processing and resource scheduling processing on the multiple cloud platforms and the multiple heterogeneous resource pools; the multi-cloud resource management subsystem is respectively connected with the multi-cloud admission scheduling subsystem and the multi-cloud adaptation subsystem and is used for carrying out resource management on the plurality of cloud platforms and the plurality of heterogeneous resource pools after admission processing, generating a resource management command and sending the resource management command to the multi-cloud adaptation subsystem; and the multi-cloud adaptation subsystem is used for providing a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, and forwarding the received resource management command to the plurality of cloud platforms and the plurality of heterogeneous resource pools. In the embodiment of the invention, the multi-cloud adaptation subsystem provides a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, so that the plurality of cloud platforms and the plurality of heterogeneous resource pools are accessed to the multi-cloud adaptation subsystem through the access interfaces. At the moment, the multi-cloud admission management scheduling subsystem can carry out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools. The multi-cloud resource management subsystem performs resource management on the managed cloud platforms and heterogeneous resource pools and generates a resource management command, so that the multi-cloud adaptation subsystem can forward the received resource management command to the cloud platforms and the heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a cross-cloud resource processing system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cross-cloud resource processing system according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a resource management method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the embodiment of the invention, the multi-cloud adaptation subsystem provides a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, so that the plurality of cloud platforms and the plurality of heterogeneous resource pools are accessed to the multi-cloud adaptation subsystem through the access interfaces. At the moment, the multi-cloud admission management scheduling subsystem can carry out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools. The multi-cloud resource management subsystem performs resource management on the managed cloud platforms and heterogeneous resource pools and generates a resource management command, so that the multi-cloud adaptation subsystem can forward the received resource management command to the cloud platforms and the heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
Referring to fig. 1, which is a schematic structural diagram of a cross-cloud resource processing system provided in an embodiment of the present invention, the cross-cloud resource processing system 10 includes a multi-cloud adapter subsystem 20, a multi-cloud nanotube scheduling subsystem 30, and a multi-cloud resource management subsystem 40.
The multi-cloud admission management scheduling subsystem 30 is connected to the multi-cloud resource management subsystem 40, and is configured to perform admission management processing and resource scheduling processing on the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60.
In a particular implementation, the multi-cloud nanotube scheduling subsystem 30 manages resources running in multiple cloud platforms 50 and multiple heterogeneous resource pools 60 to support scheduling of resources between different cloud platforms 50 and heterogeneous resource pools 60.
Note that the plurality of cloud platforms 50 includes N cloud platforms, namely a cloud platform 51 and a cloud platform 52, and the cloud platform 5N is used to provide dynamic, easily extensible and virtualized resources.
Wherein the value range of N is a positive integer greater than or equal to 1.
The plurality of heterogeneous resource pools 60 includes a heterogeneous resource pool 61 and a heterogeneous resource pool 62.
The multi-cloud resource management subsystem 40 is connected to the multi-cloud admission scheduling subsystem 30 and the multi-cloud adaplet system 20, and is configured to perform resource management on the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60 after admission processing, generate a resource management command, and send the resource management command to the multi-cloud adaplet system 20.
In a specific implementation, the multi-cloud resource management subsystem 40 is configured to manage a full life cycle of resources in the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 after the nano-management processing, and generate a corresponding resource management command, so as to send the resource management command to the multi-cloud adapter subsystem 20.
It should be noted that the resource management command is used to instruct the managed cloud platform 50 and the resource in the heterogeneous resource pool 60 to be created, modified or deleted. Specifically, the resource management command includes a command indicating synchronization with resource information in the managed cloud platform 50 and the heterogeneous resource pool 60; a command indicating that certain resource information in managed cloud platform 50 and heterogeneous resource pool 60 is modified or deleted; a command indicating that managed heterogeneous resource pool 60 was created; a command indicating a view of resource details in the hosted cloud platform 50 and the heterogeneous resource pool 60.
The multi-cloud adapter subsystem 20 is configured to provide access interfaces to the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60, and forward the reception to the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60.
In a specific implementation, the multi-cloud adapter subsystem 20 provides an API interface execution method for multiple cloud platforms 50 and multiple heterogeneous resource pools 60, and provides a corresponding access interface for each cloud platform 50 and heterogeneous resource pool 60, so that the cloud platform 50 or heterogeneous resource pool 60 can access the multi-cloud adapter subsystem 20 through its corresponding access interface; and receives resource management commands of the multi-cloud resource management subsystem 40 to assist the multi-cloud resource management subsystem 40 and the multi-cloud nanotube scheduling subsystem 30 in managing resources of the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60. Therefore, development of cloud computing application is assisted for the cross-cloud resource processing system 10, and functions of mainstream virtualization, private cloud, container cloud, public cloud and other resource devices can be supported for use when the device is opened.
In the embodiment of the invention, the multi-cloud adaptation subsystem provides a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, so that the plurality of cloud platforms and the plurality of heterogeneous resource pools are accessed to the multi-cloud adaptation subsystem through the access interfaces. At the moment, the multi-cloud admission management scheduling subsystem can carry out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools. The multi-cloud resource management subsystem performs resource management on the managed cloud platforms and heterogeneous resource pools and generates a resource management command, so that the multi-cloud adaptation subsystem can forward the received resource management command to the cloud platforms and the heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
Based on the cross-cloud resource processing system shown in fig. 1, in a specific implementation, the embodiment of the present invention further shows specific structures of a multi-cloud adapter subsystem 20, a multi-cloud nanotube scheduling subsystem 30, and a multi-cloud resource management subsystem 40, as shown in fig. 2.
The multi-cloud adapter subsystem 20 is provided with cloud platform adapters 21 and resource pool adapters 22, and accesses one cloud platform 50 through each cloud platform adapter 21 and accesses one heterogeneous resource pool 60 through each resource pool adapter 22.
The number of the cloud platform adapters 21 and the number of the resource pool adapters 22 are each plural. The plurality of cloud platform adapters 21 includes n cloud platform adapters, namely a cloud platform adapter 211 and a cloud platform adapter 212; resource pool adapter 22m resource pool adapters.
Specifically, the cloud platform adapter 211 is connected to the cloud platform 51, the cloud platform adapter 212 is connected to the cloud platform 52, and so on, and the cloud platform adapter 21N is connected to the cloud platform 5N; resource pool adapter 221 is connected to resource pool 61, resource pool adapter 222 is connected to resource pool 62, and so on, resource pool adapter 22M is connected to resource pool 6M.
The number n of cloud platform adapters 21 and the number m of resource pool adapters 22 may be set by a technician according to experience or actual conditions.
The number N of cloud platform adapters 21 is greater than or equal to N, and the number M of resource pool adapters 22 is greater than or equal to M.
It should be noted that the cloud computing platform and the cloud management platform are isolated by the cloud platform adapter 21 and the resource pool adapter 22 provided in the multi-cloud adapter subsystem 20. So as to uniformly manage a plurality of cloud platforms and a plurality of heterogeneous resource pools.
The multi-cloud resource management subsystem 40 is connected with each cloud platform adapter 21 and each resource pool adapter 22 through a calling interface; and the multi-cloud resource management subsystem 40 is configured to send the cloud resource management command to the accessed cloud platform 50 through each cloud platform adapter 21, and send the resource pool resource management command to the accessed heterogeneous resource pool 60 through each resource pool adapter 22.
Optionally, the cloud platform adapter 21 is further configured to: determining the type of the accessed cloud platform 50, and calling an encapsulation mode corresponding to the type of the cloud platform to encapsulate the cloud platform 50.
In a specific implementation, the cloud platform adapter 21 determines the type of the cloud platform 50 connected thereto, and invokes an encapsulation manner corresponding to the type of the cloud platform to encapsulate the cloud platform 50.
It should be noted that, for each type of cloud platform 50, the corresponding relationship between each type of cloud platform 50 and the packaging method is set and stored.
The packaging modes comprise native packaging, data conversion packaging and annotation packaging.
Optionally, the resource pool adapter 22 is further configured to: determining the type of the accessed heterogeneous resource pool 60, and calling an encapsulation mode corresponding to the type of the heterogeneous resource pool to encapsulate the heterogeneous resource pool 60.
In a specific implementation, the resource pool adapter 22 determines the type of the heterogeneous resource pool 60 connected thereto, and invokes an encapsulation method corresponding to the type of the heterogeneous resource pool to encapsulate the heterogeneous resource pool 60.
It should be noted that, for each type of heterogeneous resource pool 60, the corresponding relationship between each type of heterogeneous resource pool 60 and the encapsulation method is set and stored.
With continued reference to fig. 2, the multi-cloud nanotube scheduling subsystem 30 includes a multi-cloud nanotube module 31 and an orchestration scheduling module 32.
The multi-cloud nanotube module 31 is configured to virtualize resources in the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 into a virtual data center by using a virtualization technology, and manage the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 based on the virtual data center.
In a specific implementation, the multi-cloud nanotube module 31 performs unified management on a plurality of cloud platforms 50 and a plurality of heterogeneous resource pools 60 at different positions; the resources in the cloud platforms 50 and the heterogeneous resource pools 60 at different positions are virtualized into a virtual data center by using a virtualization technology, so that the dynamic resource allocation and scheduling of the cloud platforms 50 and the heterogeneous resource pools 60 are realized.
It should be noted that, the virtual data center VDC abstracts and integrates physical resources through a virtualization technology, dynamically allocates and schedules resources, realizes automatic deployment of the data center, and greatly reduces the operation cost of the data center.
The heterogeneous resource pool 60 may be virtualization software or a collection of resources in a physical server; the cloud platform 50 may be a physical server.
Virtualization is a technology that abstracts and transforms various physical resources of a computer, such as servers, networks, memories, and storages, to present them for better utilization.
The multi-cloud nanotube module 31 can support a variety of mainstream virtualization technologies.
Optionally, the multi-cloud admission module 31 performs multi-user virtual private cloud management on the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60, specifically, defines a virtual private cloud in the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 to perform IP address range, create a network, and configure security policy setting.
The scheduling module 32 is configured to calculate resources of the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 according to a preset multi-user hierarchical scheduling policy and a preset resource allocation policy, so as to obtain resource usage data of the cloud platforms 50 and the heterogeneous resource pools 60; and scheduling the resources of the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60 according to the resource request of the user and a preset multi-user hierarchical scheduling policy and resource allocation policy.
It should be noted that the resource request of the user is obtained based on the multi-cloud lifecycle management module 41 in the multi-cloud resource management subsystem, and the resource request refers to an application that is input through the multi-cloud lifecycle management module 41 and is intended to perform operations such as creation, modification, deletion, or logout on a resource.
In a specific implementation, the scheduling module 32 implements real-time monitoring on resources of the cloud platform 50 and the heterogeneous resource pool 60 to determine current resource usage data of the cloud platform 50 and the heterogeneous resource pool 60; the scheduling module 32 implements user classification for multiple users through a preset multi-user hierarchical scheduling policy to determine the resource usage priority of each user. The scheduling module 32 performs hierarchical scheduling on resources of multiple cloud platforms and multiple heterogeneous resource pools based on user hierarchy, preset resource allocation strategies, and resource application requests of users.
Optionally, when the user hierarchy is changed, change statistics is performed on the user hierarchy, and statistics is performed on user hierarchical scheduling.
It should be noted that the multi-user hierarchical scheduling policy is set by a technician according to an actual situation, and the multi-user hierarchical scheduling policy includes setting user hierarchical policy management and user hierarchical policy matching. Furthermore, when the user hierarchy is changed, change statistics is carried out on the user hierarchy, and statistics is carried out on user hierarchy scheduling.
The resource grading scheduling strategy is set by technical personnel according to actual conditions, and the resource grading scheduling comprises the steps of managing the resource grading strategy and setting the resource grading strategy in a matching way. Furthermore, when the resource classification is changed, the change statistics is carried out on the resource classification, and the statistics is carried out on the resource classification scheduling.
It should be further noted that managing the resource ranking policy refers to creating, editing, or deleting the resource ranking policy by the resource allocation module 43.
Optionally, the scheduling module 32 is further configured to: and performing resource pre-allocation on the user according to the resource use data of the cloud platform 50 and the heterogeneous resource pool 60, the resource application data of the user counted in the multi-cloud resource management subsystem 40 and the initial resource of the user.
It should be noted that the user requirement evaluation is generated by the multi-cloud resource management subsystem 40 according to the application situation of the user.
In a specific implementation, the scheduling module 32 predicts the resource to be required of the user through the resource usage data of the cloud platform 50 and the heterogeneous resource pool 60, the resource application data of the user, and the initial resource of the user, that is, presets the resource of the user, and can also set the resource quota initialization of the user, so that the user requirement can be evaluated and the details of the use of the resource can be determined.
With continued reference to fig. 2, the cloudy resource management subsystem 40 includes a cloudy lifecycle management module 41.
The multi-cloud lifecycle management module 41 is configured to perform resource application, creation, delivery, operation and maintenance, release and destruction management on the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 after the nano management processing, and generate corresponding resource management commands to send the resource management commands to the multi-cloud adapter subsystem 20, so that when the cloud platforms 50 and the heterogeneous resource pools 60 receive the resource management commands through the multi-cloud adapter subsystem 20, the cloud platforms 50 and the heterogeneous resource pools 60 perform corresponding operations on their own resources based on the resource management commands.
In a specific implementation, the multi-cloud lifecycle management module 41 obtains a resource processing request of a user to perform resource application, creation, delivery, operation and maintenance, and release destruction management on the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60. Specifically, if the cloud lifecycle management module 41 obtains a resource activation request, a resource renewal request, a resource change request, a resource unsubscription request, or an account right of a user, it determines whether to pass or reject the resource activation application based on the resource activation request, and determines whether to pass or reject the resource renewal application based on the resource renewal request; determining whether to pass or reject the resource change application based on the resource change request, determining whether to pass or reject the resource unsubscribe request based on the resource unsubscribe request, and determining whether to pass or reject the account number permission request based on the account number permission request; if the multi-cloud lifecycle management module 41 obtains an account registration request of a user, determining whether to activate or freeze the account based on the account registration request; if the multi-cloud life cycle management module 41 obtains the approval items input by the operation and maintenance personnel, the edited notices are issued based on the approval items, and the notices are issued after the editing is successful. And generates corresponding resource management commands such as: the resource renewal application passes the command to send the resource management command to the multi-cloud Adaplet System 20.
Optionally, the multi-cloud lifecycle management module 41 is configured to perform unified management on virtual machine resources in the managed resource pool, specifically, perform management such as virtual machine instance creation, virtual machine instance startup, shutdown, restart, virtual machine console, virtual machine expansion, virtual machine snapshot, virtual machine cloning, or virtual machine release on virtual machines in the managed resource pool.
The multi-cloud lifecycle management module 41 is configured to bind the managed resource pool, the cloud platform, the virtual machine image, and the like into a set of image scheme in a graphical interface manner, so as to perform management such as image creation, modification, deletion, query, binding or unbinding on the managed resource pool, the cloud platform, and the virtual machine image.
The multi-cloud lifecycle management module 41 is configured to manage IP address allocation, recovery, registration, application, and the like of the resource pool, so as to implement management of resource pool network synchronization, creation/modification, batch deletion, and viewing, and the like of the resource pool according to the resource pool IP address.
The multi-cloud lifecycle management module 41 is configured to perform unified management on some basic software and special software resources of each platform, and specifically perform management on software resources such as creation, modification, deletion, and downloading.
Optionally, with continued reference to fig. 2, a resource view module 42 is further disposed within the cloud resource management subsystem 40.
And the resource view module 42 is configured to count the resource usage data of the multiple cloud platforms 50 and the multiple heterogeneous resource pools 60 calculated by the scheduling module 32, count the resource application data of the user, and display the resource application data.
In a specific implementation, the resource view module 42 uniformly counts the resource usage data of the plurality of cloud platforms 50 and the plurality of heterogeneous resource pools 60 calculated by the scheduling module 32 to generate usage details; counting resource application data of a user to generate a resource overview;
it should be noted that the resource usage data includes virtual resource usage data and physical resource usage data. The resource overview is used for displaying the statistical resource application condition of each user, and the use details are used for listing the resource use details of each user.
Optionally, with continued reference to fig. 2, a resource allocation module 43 is further disposed in the cloud resource management subsystem 40.
The resource allocation module 43 is configured to obtain resource usage data of the cloud platform 50 and the heterogeneous resource pool 60, which are obtained by calculation in the scheduling module 32; and according to the resource use data of the cloud platform 50 and the heterogeneous resource pools 60, a preset resource grading strategy and the resource application information of the user, determining initial resources of the user, and allocating the resources in the cloud platforms 50 and the heterogeneous resource pools 60 to the user based on the initial resources.
It should be noted that the resource application information of the user includes the minimum resource required by the user.
In a specific implementation, resource application information of a user is acquired according to the multi-cloud lifecycle management module 41; acquiring resource use data of the cloud platform 50 and the heterogeneous resource pool 60 calculated in the scheduling module 32; initial resources are allocated to each user through the resource application information, the resource usage data of the cloud platform 50 and the heterogeneous resource pool 60, and a preset resource classification strategy.
In the embodiment of the invention, the cloud platform is accessed into the multi-cloud adaptation subsystem through the access interface by the multi-cloud adaptation subsystem through the cloud platform adapter, and the resource pool is accessed into the multi-cloud adaptation subsystem through the access interface by the multi-cloud adaptation subsystem through the resource pool adapter. The multi-cloud admission management scheduling subsystem can carry out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools. The multi-cloud resource management subsystem performs resource management on the managed cloud platforms and heterogeneous resource pools and generates a resource management command, so that the multi-cloud adaptation subsystem can forward the received resource management command to the cloud platforms and the heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
Based on the cross-cloud resource processing system shown in the embodiment of the invention, the invention also correspondingly discloses various resource management methods, and the resource management methods are suitable for the disclosed cross-cloud resource processing system. As shown in fig. 3, which is a schematic flowchart of a resource management method according to an embodiment of the present invention, the resource management method includes:
step S301: and the multi-cloud admission management scheduling subsystem carries out admission management processing and resource scheduling processing on the cloud platforms and the heterogeneous resource pools.
Optionally, in the process of performing the step S301 of performing admission processing on the multiple cloud platforms and the multiple heterogeneous resource pools by the multi-cloud admission scheduling subsystem, the method includes: the method comprises the steps of virtualizing resources in a plurality of cloud platforms and a plurality of heterogeneous resource pools into a virtual data center by using a virtualization technology, and managing the cloud platforms and the heterogeneous resource pools based on the virtual data center.
Optionally, in the process of performing, in step S301, resource scheduling processing on the multiple cloud platforms and the multiple heterogeneous resource pools by the multiple cloud admission scheduling subsystem, the method includes: calculating resources of a plurality of cloud platforms and a plurality of heterogeneous resource pools to obtain resource use data of the cloud platforms and the heterogeneous resource pools; and scheduling the resources of the cloud platforms and the heterogeneous resource pools according to the resource request of the user and a preset multi-user hierarchical scheduling strategy and a preset resource allocation strategy.
It should be noted that the resource request of the user is obtained based on the multi-cloud resource management subsystem.
Optionally, in the process of performing, in step S301, resource scheduling processing on the multiple cloud platforms and the multiple heterogeneous resource pools by the multiple cloud nanotube scheduling subsystem, the method further includes: and performing resource pre-allocation on the user according to the resource use data of the cloud platform and the heterogeneous resource pool, the resource application data of the user counted in the multi-cloud resource management subsystem and the initial resource of the user.
And S302, the multi-cloud resource management subsystem performs resource management on the cloud platforms and the heterogeneous resource pools after the nano management processing, generates a resource management command and sends the resource management command to the multi-cloud adaptation subsystem.
Optionally, in the process of executing step S302, the method includes: the cloud platform and the heterogeneous resource pools after the nano management processing are used for resource application, creation, delivery, operation and maintenance, release and destruction management, and generating corresponding resource management commands so as to send the resource management commands to the multi-cloud adaptation subsystem, so that when the cloud platform and the heterogeneous resource pools receive the resource management commands through the multi-cloud adaptation subsystem, corresponding operations are performed on own resources based on the resource management commands.
Optionally, after the step S302 is executed, the method further includes: and counting the resource use data of the plurality of cloud platforms and the plurality of heterogeneous resource pools, which are calculated by the scheduling module, counting the resource application data of the user, and displaying the resource application data.
Optionally, after the step S302 is executed, the method further includes: acquiring resource use data of the cloud platform and the heterogeneous resource pool, which are obtained by calculation in the scheduling module; and determining initial resources of the user according to the resource use data of the cloud platform and the heterogeneous resource pools, preset resource grading strategies and the resource application information of the user, and allocating the resources in the plurality of cloud platforms and the plurality of heterogeneous resource pools to the user based on the initial resources, wherein the resource application information of the user comprises minimum resources required by the user.
Step S303: the multi-cloud adaptation subsystem provides a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, and forwards the received resource management command to the plurality of cloud platforms and the plurality of heterogeneous resource pools.
It should be noted that the multi-cloud adapter subsystem includes a plurality of cloud platform adapters and a plurality of resource pool adapters.
Optionally, when determining the type of the accessed cloud platform, the cloud platform adapter calls an encapsulation mode corresponding to the type of the cloud platform to encapsulate the cloud platform; and when determining the type of the accessed heterogeneous resource pool, the resource pool adapter calls an encapsulation mode corresponding to the type of the heterogeneous resource pool to encapsulate the heterogeneous resource pool.
It should be noted that, the specific implementation process of the resource management method disclosed in the embodiment of the present invention is the same as the specific principle of each module in the cross-cloud resource processing system shown in the embodiment of the present invention, and reference may be made to the corresponding part in the cross-cloud resource processing system shown in the embodiment of the present invention, which is not described herein again.
In the embodiment of the invention, the multi-cloud adaptation subsystem provides a plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, so that the plurality of cloud platforms and the plurality of heterogeneous resource pools are accessed to the multi-cloud adaptation subsystem through the access interfaces. At the moment, the multi-cloud admission management scheduling subsystem can carry out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools. The multi-cloud resource management subsystem performs resource management on the managed cloud platforms and heterogeneous resource pools and generates a resource management command, so that the multi-cloud adaptation subsystem can forward the received resource management command to the cloud platforms and the heterogeneous resource pools. The resource pool and the cloud platform of various different types can be managed in a unified mode, and therefore the scheduling efficiency of different types of resources is improved.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. 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 can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A cross-cloud resource processing system is characterized by comprising a multi-cloud adaptation subsystem, a multi-cloud nanotube scheduling subsystem and a multi-cloud resource management subsystem;
the multi-cloud admission management scheduling subsystem is connected with the multi-cloud resource management subsystem and is used for carrying out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools;
the multi-cloud resource management subsystem is respectively connected with the multi-cloud admission scheduling subsystem and the multi-cloud adapter subsystem and is used for carrying out resource management on the plurality of cloud platforms and the plurality of heterogeneous resource pools after admission processing, generating a resource management command and sending the resource management command to the multi-cloud adapter subsystem;
the multi-cloud adaptation subsystem is used for providing the access interfaces of the cloud platforms and the heterogeneous resource pools and forwarding the received resource management command to the cloud platforms and the heterogeneous resource pools.
2. The system of claim 1, comprising:
the multi-cloud adaptation subsystem is provided with cloud platform adapters and resource pool adapters, each cloud platform adapter is accessed to one cloud platform, and each resource pool adapter is accessed to one heterogeneous resource pool;
the multi-cloud resource management subsystem is connected with each cloud platform adapter and each resource pool adapter through a calling interface, and is used for sending cloud resource management commands to an accessed cloud platform through each cloud platform adapter and sending resource management commands to an accessed heterogeneous resource pool through each resource pool adapter.
3. The system of claim 2, wherein the cloud platform adapter is further configured to: determining the type of the accessed cloud platform, and calling a packaging mode corresponding to the type of the cloud platform to package the cloud platform;
the resource pool adapter is further to: and determining the type of the accessed heterogeneous resource pool, and calling an encapsulation mode corresponding to the type of the heterogeneous resource pool to encapsulate the heterogeneous resource pool.
4. The system of claim 1, wherein the multi-cloud nanotube scheduling subsystem comprises a multi-cloud nanotube module;
the multi-cloud-nano-tube module is used for virtualizing resources in a plurality of cloud platforms and a plurality of heterogeneous resource pools into a virtual data center by using a virtualization technology, and managing the cloud platforms and the heterogeneous resource pools based on the virtual data center.
5. The system of claim 1, wherein the multi-cloud nanotube scheduling subsystem comprises an orchestration scheduling module;
the scheduling module is used for calculating the resources of the cloud platforms and the heterogeneous resource pools to obtain resource use data of the cloud platforms and the heterogeneous resource pools; and scheduling the resources of the plurality of cloud platforms and the plurality of heterogeneous resource pools according to a resource request of a user and a preset multi-user hierarchical scheduling strategy and a preset resource allocation strategy, wherein the resource request of the user is acquired based on the multi-cloud resource management subsystem.
6. The system of claim 5, wherein the orchestration scheduling module is further configured to: and pre-allocating resources for the user according to the resource use data of the cloud platform and the heterogeneous resource pool, the resource application data of the user counted in the multi-cloud resource management subsystem and the initial resources of the user.
7. The system of claim 1, wherein the multi-cloud resource management subsystem comprises: a cloud lifecycle management module;
the multi-cloud life cycle management module is used for applying, creating, delivering, operating and maintaining resources and releasing and destroying management on the cloud platforms and the heterogeneous resource pools after the nano management processing is carried out, generating corresponding resource management commands, and sending the resource management commands to the multi-cloud adaptation subsystem so that the cloud platforms and the heterogeneous resource pools pass through the multi-cloud adaptation subsystem to receive the resource management commands, and based on the resource management commands, corresponding operation is carried out on the resources of the cloud platforms and the heterogeneous resource pools.
8. The system according to claim 7, wherein a resource view module is further disposed in the multi-cloud resource management subsystem;
and the resource view module is used for counting the resource use data of the plurality of cloud platforms and the plurality of heterogeneous resource pools, which are obtained by the calculation of the scheduling module, counting the resource application data of the user and displaying the resource application data.
9. The system according to claim 7, wherein a resource allocation module is further disposed in the multi-cloud resource management subsystem;
the resource allocation module is used for acquiring the resource use data of the cloud platform and the heterogeneous resource pool, which are obtained by calculation in the scheduling module; and determining initial resources of the user according to the resource use data of the cloud platform and the heterogeneous resource pools, preset resource grading strategies and resource application information of the user, and allocating resources in the plurality of cloud platforms and the plurality of heterogeneous resource pools to the user based on the initial resources, wherein the resource application information of the user comprises minimum resources required by the user.
10. A method for resource management, the method comprising:
the multi-cloud admission management scheduling subsystem carries out admission management processing and resource scheduling processing on a plurality of cloud platforms and a plurality of heterogeneous resource pools;
the multi-cloud resource management subsystem performs resource management on the cloud platforms and the heterogeneous resource pools after the nano management processing, generates a resource management command and sends the resource management command to the multi-cloud adaptation subsystem;
the multi-cloud adaptation subsystem provides the plurality of cloud platforms and a plurality of heterogeneous resource pool access interfaces, and forwards the received resource management command to the plurality of cloud platforms and the plurality of heterogeneous resource pools.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011487550.2A CN112637304B (en) | 2020-12-16 | 2020-12-16 | Cross-cloud resource processing system and resource management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011487550.2A CN112637304B (en) | 2020-12-16 | 2020-12-16 | Cross-cloud resource processing system and resource management method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112637304A true CN112637304A (en) | 2021-04-09 |
| CN112637304B CN112637304B (en) | 2022-12-20 |
Family
ID=75313923
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011487550.2A Active CN112637304B (en) | 2020-12-16 | 2020-12-16 | Cross-cloud resource processing system and resource management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112637304B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113254150A (en) * | 2021-05-13 | 2021-08-13 | 曙光信息产业(北京)有限公司 | Load balancing method, system, device, computer equipment and storage medium |
| CN114492660A (en) * | 2022-02-14 | 2022-05-13 | 深圳市伊登软件有限公司 | Service management method and system of multi-cloud management platform |
| CN115277700A (en) * | 2022-07-22 | 2022-11-01 | 中国工商银行股份有限公司 | Cloud platform data display method and device and storage medium |
| WO2024093315A1 (en) * | 2022-10-31 | 2024-05-10 | 华为云计算技术有限公司 | Management method for multi-resource-pool network, and cloud management platform and apparatus |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170339065A1 (en) * | 2016-05-20 | 2017-11-23 | Shoretel, Inc. | Hybrid cloud deployment for hybrid unified communications |
| CN111314149A (en) * | 2020-02-26 | 2020-06-19 | 赛特斯信息科技股份有限公司 | System for realizing unified monitoring operation and maintenance management based on multiple edge cloud platforms |
| CN111880917A (en) * | 2020-07-28 | 2020-11-03 | 浙江九州云信息科技有限公司 | Edge mixed cloud pipe platform |
-
2020
- 2020-12-16 CN CN202011487550.2A patent/CN112637304B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170339065A1 (en) * | 2016-05-20 | 2017-11-23 | Shoretel, Inc. | Hybrid cloud deployment for hybrid unified communications |
| CN111314149A (en) * | 2020-02-26 | 2020-06-19 | 赛特斯信息科技股份有限公司 | System for realizing unified monitoring operation and maintenance management based on multiple edge cloud platforms |
| CN111880917A (en) * | 2020-07-28 | 2020-11-03 | 浙江九州云信息科技有限公司 | Edge mixed cloud pipe platform |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113254150A (en) * | 2021-05-13 | 2021-08-13 | 曙光信息产业(北京)有限公司 | Load balancing method, system, device, computer equipment and storage medium |
| CN114492660A (en) * | 2022-02-14 | 2022-05-13 | 深圳市伊登软件有限公司 | Service management method and system of multi-cloud management platform |
| CN115277700A (en) * | 2022-07-22 | 2022-11-01 | 中国工商银行股份有限公司 | Cloud platform data display method and device and storage medium |
| WO2024093315A1 (en) * | 2022-10-31 | 2024-05-10 | 华为云计算技术有限公司 | Management method for multi-resource-pool network, and cloud management platform and apparatus |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112637304B (en) | 2022-12-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112637304B (en) | Cross-cloud resource processing system and resource management method | |
| CN110535831B (en) | Kubernetes and network domain-based cluster security management method and device and storage medium | |
| US10846140B2 (en) | Off-site backup of workloads for multi-tenant cloud computing system | |
| CN112256423B (en) | System, apparatus and process for dynamic tenant architecture adjustment in a distributed resource management system | |
| US10917294B2 (en) | Network function instance management method and related device | |
| CN103064742B (en) | A kind of automatic deployment system and method for hadoop cluster | |
| US8051266B2 (en) | Automatic memory management (AMM) | |
| US9021046B2 (en) | Provisioning server resources in a cloud resource | |
| CN103703724B (en) | Resource payment method | |
| CN102833310B (en) | Workflow engine trunking system based on virtualization technology | |
| CN111880917A (en) | Edge mixed cloud pipe platform | |
| WO2011156922A1 (en) | Method and system for workload distributing and processing across a network of replicated virtual machines | |
| CN110661842B (en) | Resource scheduling management method, electronic equipment and storage medium | |
| WO2017185303A1 (en) | Method and device for managing nfv mano policy descriptor | |
| CN111835679B (en) | Tenant resource management method and device under multi-tenant scene | |
| CN103634128B (en) | The collocation method and device of virtual machine Placement Strategy | |
| CN103207965A (en) | Method and device for License authentication in virtual environment | |
| CN104781783A (en) | Integrated computing platform deployed in an existing computing environment | |
| CN117480494A (en) | Coordinated container scheduling for improved resource allocation in virtual computing environments | |
| CN109347716B (en) | Instantiation method and device of consumer VNF | |
| CN109347661B (en) | Instantiation method and device of consumer VNF | |
| CN105406983A (en) | Cloud calculation network management control method based on user demands | |
| CN112003931B (en) | Method and system for deploying scheduling controller and related components | |
| CN115202820A (en) | Method, device and equipment for creating Pod unit and storage medium | |
| CN110347473B (en) | Method and device for distributing virtual machines of virtualized network elements distributed across data centers |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |