CN116743756B - Cloud desktop-based resource virtualization intelligent allocation method and system - Google Patents
Cloud desktop-based resource virtualization intelligent allocation method and system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- G06F9/5061—Partitioning or combining of resources
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- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1014—Server selection for load balancing based on the content of a request
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a cloud desktop-based resource virtualization intelligent allocation method and a cloud desktop-based resource virtualization intelligent allocation system, wherein the method comprises the following steps: respectively generating resource allocation requests on a plurality of user terminals, and uploading the resource allocation requests to the cloud desktop; the cloud desktop responds to the resource allocation request and obtains current running state information and configuration information; the cloud desktop performs resource virtualization allocation processing according to the current running state information and the configuration information based on the resource allocation request to obtain resource allocation data; the cloud desktop operates a process corresponding to the process information required to be operated in the resource allocation request based on the resource allocation data, and a process operation interface is obtained; and the cloud desktop loads the process running interface to the corresponding user terminal for visual display. According to the embodiment of the invention, the virtual allocation of the resources of the cloud desktop running on the corresponding cloud server according to the authority of the operating user and the corresponding user terminal is realized, and the visualization of the running interface on the user terminal is realized.
Description
Technical Field
The invention relates to the technical field of cloud resource allocation, in particular to a cloud desktop-based resource virtualization intelligent allocation method and system.
Background
With rapid development of the internet and cloud technology, for some large-sized application programs, when the large-sized application programs are operated on some terminals, the operation smoothness may not be guaranteed, the large-sized application programs are required to be operated on a cloud server where a cloud desktop is operated by means of the internet and the cloud technology, but when a plurality of user terminals are accessed to the cloud desktop to operate corresponding application programs, the cloud desktop may not be capable of effectively performing resource allocation processing on the cloud server, and finally, the problem of blocking of the application programs required to be operated by the user terminals accessed to the cloud desktop in the operation process may not be caused, and meanwhile, the visual processing of an operation interface may not be performed.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a cloud desktop-based resource virtualization intelligent allocation method and a cloud desktop-based resource virtualization intelligent allocation system, which realize virtual allocation of resources of a cloud desktop running on a corresponding cloud server according to the authority of an operation user and a corresponding user terminal, and realize running interface visualization on the user terminal.
In order to solve the technical problems, the invention provides a cloud desktop-based resource virtualization intelligent allocation method, which comprises a cloud desktop running on a distributed cloud server and a plurality of user terminals connected with the cloud desktop through a network, wherein the method comprises the following steps:
respectively generating resource allocation requests on the plurality of user terminals, and uploading the resource allocation requests to the cloud desktop;
the cloud desktop responds to the resource allocation request and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers;
the cloud desktop performs resource virtualization allocation processing according to the current running state information and the configuration information based on the resource allocation request to obtain resource allocation data of each of a plurality of user terminals;
the cloud desktop operates a process corresponding to the process information required to be operated in the resource allocation request based on the resource allocation data of each user terminal, and process operation interfaces corresponding to each user terminal in a plurality of user terminals are obtained;
and the cloud desktop loads the process running interfaces corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal for visual display.
Optionally, the resource allocation request includes operation user identity information corresponding to the operation user terminal, first geographic position information corresponding to the user terminals and information of a required running process; the current running state information comprises real-time running load information of each cloud server; the configuration information comprises second geographical position information and preset load information of each cloud server in the distributed cloud servers.
Optionally, the generating resource allocation requests on the plurality of user terminals and uploading the resource allocation requests to the cloud desktop respectively include:
the user terminals respectively receive identity authentication requests of operation users and upload the identity authentication requests to the cloud desktop;
the authorization center of the cloud desktop generates an electronic document to be authenticated based on the identity authentication request, and issues the electronic document to be authenticated to a corresponding user terminal;
the operation user performs identity authentication operation on the corresponding user terminal based on the electronic document to be authenticated to form an identity authentication electronic document, and the identity authentication electronic document is uploaded to the cloud desktop;
the authorization center in the cloud desktop performs identity authentication processing based on the identity authentication electronic document and issues an identity authentication result to a corresponding user terminal;
and the operating user selects the process information to be operated on the corresponding user terminal based on the identity authentication result to perform resource allocation operation, generates the resource allocation request, and uploads the resource allocation request to the cloud desktop.
Optionally, the cloud desktop responds to the resource allocation request, and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers, including:
the cloud desktop responds to the resource allocation request and reads the server identification of each cloud server in the distributed cloud servers;
acquiring configuration information of each cloud server in the distributed cloud servers based on the server identification;
and the cloud table reads the running state of each cloud server in the distributed cloud servers to obtain the current running state information of each cloud server in the distributed cloud servers.
Optionally, the cloud desktop performs resource virtualization allocation processing according to current running state information and configuration information based on the resource allocation request, including:
the cloud desktop performs distance sorting processing based on first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, and a distance sorting list of each user terminal and each cloud server is obtained;
matching corresponding user rights on the cloud desktop based on the operation user identity information corresponding to the operation users on the user terminals, and sorting the user terminals based on the user rights to form a rights sorting list corresponding to the user terminals;
calculating based on the real-time operation load information of each cloud platform server and the preset load information of each cloud platform server to obtain the residual load information of each cloud platform server;
acquiring the required operation resource information corresponding to the user terminals based on the required operation process information corresponding to the user terminals;
and carrying out resource virtualization allocation processing based on the authority ordering list corresponding to the user terminals, the distance ordering list between each user terminal and each cloud server, the residual load information of each cloud server and the required operation resource information corresponding to the user terminals.
Optionally, the cloud desktop performs distance sorting processing based on first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, so as to obtain a distance sorting list of each user terminal and each cloud server, and the method includes:
the cloud desktop calculates the distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server by using the first geographic position information corresponding to the plurality of user terminals in the resource allocation request and the second geographic position information of each cloud server in the distributed cloud server in the configuration information, and obtains the calculated distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server;
and performing distance sorting processing based on the calculated distances between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers to obtain a distance sorting list of each user terminal and each cloud server.
Optionally, the performing resource virtualization allocation processing based on the authority ordered list corresponding to the plurality of user terminals, the distance ordered list between each user terminal and each cloud server, the residual load information of each cloud server, and the required operation resource information corresponding to the plurality of user terminals includes:
selecting corresponding user terminals from high to low according to rights in a rights sequencing list corresponding to a plurality of user terminals to obtain selected user terminals;
selecting cloud servers from near to far according to the distance by using the selected user terminal in a distance sorting list corresponding to each cloud server to obtain a selected cloud server;
comparing the required operation resource information corresponding to the selected user terminal with the residual load information of the selected cloud server, and returning to the cloud server selection step when the required operation resource information corresponding to the selected user terminal is larger than the residual load information of the selected cloud server;
and if the required operation resource information corresponding to the selected user terminal is smaller than the residual load information of the selected cloud server, performing resource virtualization allocation processing in the selected cloud server based on the required operation resource information corresponding to the selected user terminal.
Optionally, after performing the resource virtualization allocation processing in the selected cloud server based on the required operation resource information corresponding to the selected user terminal, the method further includes:
and obtaining residual load information after distribution remained after the virtual distribution processing of the resources of the selected cloud server, and updating the residual load information of the cloud server in each cloud server by utilizing the residual load information after distribution.
Optionally, the cloud desktop loads a process running interface corresponding to each user terminal in the plurality of user terminals to a corresponding user terminal for visual display, and the method includes:
the cloud table generates video stream to the process operation interfaces corresponding to the user terminals in the user terminals and generates process operation interface video stream data corresponding to the user terminals in the user terminals;
and loading the video stream data of the process operation interface corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal through a real-time loading technology for visual display.
In addition, the invention also provides a cloud desktop-based resource virtualization intelligent allocation system, which comprises a cloud desktop running on a distributed cloud server and a plurality of user terminals connected with the cloud desktop network, wherein the system is configured to execute the resource virtualization intelligent allocation method according to any one of the above.
According to the embodiment of the invention, the virtual allocation of the resources of the cloud desktop running on the corresponding cloud server according to the authority of the operating user and the corresponding user terminal is realized, and the visualization of the running interface on the user terminal is realized.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a method for cloud desktop-based virtualized intelligent allocation of resources in an embodiment of the invention;
fig. 2 is a schematic structural composition diagram of a cloud desktop-based resource virtualization intelligent allocation system in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flow chart of a method for cloud desktop-based resource virtualization intelligent allocation in an embodiment of the invention.
As shown in fig. 1, a method for intelligently distributing resource virtualization based on a cloud desktop includes a cloud desktop running on a distributed cloud server and a plurality of user terminals connected with the cloud desktop through a network, and the method includes:
s11: respectively generating resource allocation requests on the plurality of user terminals, and uploading the resource allocation requests to the cloud desktop;
in the implementation process of the invention, the resource allocation request comprises operation user identity information corresponding to the operation user terminals, first geographic position information corresponding to the user terminals and required operation process information.
Further, the generating resource allocation requests on the plurality of user terminals and uploading the resource allocation requests to the cloud desktop respectively includes: the user terminals respectively receive identity authentication requests of operation users and upload the identity authentication requests to the cloud desktop; the authorization center of the cloud desktop generates an electronic document to be authenticated based on the identity authentication request, and issues the electronic document to be authenticated to a corresponding user terminal; the operation user performs identity authentication operation on the corresponding user terminal based on the electronic document to be authenticated to form an identity authentication electronic document, and the identity authentication electronic document is uploaded to the cloud desktop; the authorization center in the cloud desktop performs identity authentication processing based on the identity authentication electronic document and issues an identity authentication result to a corresponding user terminal; and the operating user selects the process information to be operated on the corresponding user terminal based on the identity authentication result to perform resource allocation operation, generates the resource allocation request, and uploads the resource allocation request to the cloud desktop.
Specifically, the resource allocation request generally includes operation user identity information corresponding to an operation user, first geographic position information corresponding to a plurality of user terminals, and information of a required operation process.
The specific process for generating the resource allocation request is as follows: firstly, a plurality of user terminals respectively receive identity authentication requests input by corresponding operation users when the operation users operate the user terminals, and upload the identity authentication requests to a cloud desktop; after receiving the identity authentication request, the cloud desktop generates a corresponding electronic document to be authenticated according to the identity authentication request through an authorization center formed by an authorization application in the cloud desktop, and then issues the electronic document to be authenticated to a corresponding user terminal; then, the user can be operated to perform identity authentication operation on the corresponding user terminal according to the electronic document to be authenticated, form an identity authentication electronic document and upload the identity authentication electronic document to the cloud desktop; then, the authorization center in the cloud desktop performs identity authentication processing according to the identity authentication electronic document, and issues an identity authentication result to a corresponding user terminal, after the identity authentication is passed, corresponding operation can be performed, and if the identity authentication is not passed, resource allocation request operation cannot be performed; after the identity authentication is passed, the operating user can select the process information to be operated on the corresponding user terminal to perform resource allocation operation, generate a resource allocation request, and finally upload the resource allocation request to the cloud desktop through the Internet.
S12: the cloud desktop responds to the resource allocation request and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers;
in the implementation process of the invention, the current running state information comprises real-time running load information of each cloud server; the configuration information comprises second geographical position information and preset load information of each cloud server in the distributed cloud servers.
Further, the cloud desktop responds to the resource allocation request, and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers, including: the cloud desktop responds to the resource allocation request and reads the server identification of each cloud server in the distributed cloud servers; acquiring configuration information of each cloud server in the distributed cloud servers based on the server identification; and the cloud table reads the running state of each cloud server in the distributed cloud servers to obtain the current running state information of each cloud server in the distributed cloud servers.
Specifically, the current running state information mainly includes real-time running load information of each cloud server, and the configuration information mainly includes second geographical position information and preset load information of each cloud server in the cloud servers.
When the cloud desktop responds to the resource allocation request, reading server identifiers of all cloud servers in the distributed cloud servers through the cloud desktop, and obtaining configuration information of all cloud servers in the distributed cloud servers in a matching mode according to the server identifiers; and then reading and processing the running states of all the cloud servers in the distributed cloud servers through the cloud desktop, so that the current running state information of all the cloud servers in the distributed cloud servers can be obtained.
S13: the cloud desktop performs resource virtualization allocation processing according to the current running state information and the configuration information based on the resource allocation request to obtain resource allocation data of each of a plurality of user terminals;
in the implementation process of the invention, the cloud desktop performs resource virtualization allocation processing according to the current running state information and configuration information based on the resource allocation request, and the resource virtualization allocation processing comprises the following steps: the cloud desktop performs distance sorting processing based on first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, and a distance sorting list of each user terminal and each cloud server is obtained; matching corresponding user rights on the cloud desktop based on the operation user identity information corresponding to the operation users on the user terminals, and sorting the user terminals based on the user rights to form a rights sorting list corresponding to the user terminals; calculating based on the real-time operation load information of each cloud platform server and the preset load information of each cloud platform server to obtain the residual load information of each cloud platform server; acquiring the required operation resource information corresponding to the user terminals based on the required operation process information corresponding to the user terminals; and carrying out resource virtualization allocation processing based on the authority ordering list corresponding to the user terminals, the distance ordering list between each user terminal and each cloud server, the residual load information of each cloud server and the required operation resource information corresponding to the user terminals.
Further, the cloud desktop performs distance sorting processing based on first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, and obtains a distance sorting list of each user terminal and each cloud server, including: the cloud desktop calculates the distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server by using the first geographic position information corresponding to the plurality of user terminals in the resource allocation request and the second geographic position information of each cloud server in the distributed cloud server in the configuration information, and obtains the calculated distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server; and performing distance sorting processing based on the calculated distances between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers to obtain a distance sorting list of each user terminal and each cloud server.
Further, the performing resource virtualization allocation processing based on the authority ordered list corresponding to the plurality of user terminals, the distance ordered list between each user terminal and each cloud server, the residual load information of each cloud server, and the required operation resource information corresponding to the plurality of user terminals includes: selecting corresponding user terminals from high to low according to rights in a rights sequencing list corresponding to a plurality of user terminals to obtain selected user terminals; selecting cloud servers from near to far according to the distance by using the selected user terminal in a distance sorting list corresponding to each cloud server to obtain a selected cloud server; comparing the required operation resource information corresponding to the selected user terminal with the residual load information of the selected cloud server, and returning to the cloud server selection step when the required operation resource information corresponding to the selected user terminal is larger than the residual load information of the selected cloud server; and if the required operation resource information corresponding to the selected user terminal is smaller than the residual load information of the selected cloud server, performing resource virtualization allocation processing in the selected cloud server based on the required operation resource information corresponding to the selected user terminal.
Further, after the resource virtualization allocation processing is performed in the selected cloud server based on the required operation resource information corresponding to the selected user terminal, the method further includes: and obtaining residual load information after distribution remained after the virtual distribution processing of the resources of the selected cloud server, and updating the residual load information of the cloud server in each cloud server by utilizing the residual load information after distribution.
Specifically, the cloud desktop performs distance sorting processing according to first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, namely a distance sorting list of each user terminal and each cloud server can be constructed according to sorting results, namely a distance sorting list is generated between each user terminal and each cloud server; matching the operation user identity information corresponding to the operation users on the user terminals to corresponding user rights on the cloud desktop, and sorting the user terminals according to the user rights to form a rights sorting list corresponding to the user terminals; then calculating according to the real-time operation load information of each cloud server and the preset load information of each cloud server to obtain the residual load information of each cloud server; acquiring the required operation resource information corresponding to the user terminals according to the required operation process information corresponding to the user terminals; finally, resource virtualization allocation processing is required to be performed according to the authority ordered list corresponding to the user terminals, the distance ordered list between each user terminal and each cloud server, the residual load information of each cloud server and the required operation resource information corresponding to the user terminals.
When the distance sorting processing is performed, firstly, the cloud desktop needs to utilize first geographic position information corresponding to a plurality of user terminals in a resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in configuration information to perform distance calculation between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers, and then obtains calculation distances between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers; and finally, performing distance sorting processing by calculating the distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers, so as to obtain a distance sorting list of each user terminal and each cloud server.
When the resource virtualization allocation processing is carried out, selecting corresponding user terminals from high to low according to the authority in the authority sorting list corresponding to a plurality of user terminals, and obtaining the selected user terminals; then selecting cloud servers from near to far according to the distance by using the selected user terminal in the distance sorting list corresponding to each cloud server, and obtaining the selected cloud servers; comparing the required operation resource information corresponding to the selected user terminal with the residual load information of the selected cloud server, and re-selecting the cloud server in the cloud server selecting step when the required operation resource information corresponding to the selected user terminal is larger than the residual load information of the selected cloud server; and if the required operation resource information corresponding to the selected user terminal is smaller than the residual load information of the selected cloud server, carrying out resource virtualization allocation processing in the selected cloud server through the required operation resource information corresponding to the selected user terminal.
After the resource virtualization allocation processing is performed, the residual load information of the selected cloud server after the resource virtualization allocation processing is performed is required to be obtained, and then the residual load information after the allocation is used for updating the residual load information of the selected cloud server in the residual load information of each cloud server; therefore, the resource virtualization allocation can be conveniently carried out on the cloud server in the follow-up process, and the residual load information of the cloud server can be updated in real time.
S14: the cloud desktop operates a process corresponding to the process information required to be operated in the resource allocation request based on the resource allocation data of each user terminal, and process operation interfaces corresponding to each user terminal in a plurality of user terminals are obtained;
in the implementation process of the invention, the cloud desktop needs to perform operation processing on the process corresponding to the required operation process information in the resource allocation request according to the resource allocation data of each user terminal, and in the operation process, the process operation interface corresponding to each user terminal in a plurality of user terminals needs to be obtained.
S15: and the cloud desktop loads the process running interfaces corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal for visual display.
In the implementation process of the invention, the cloud desktop loads the process running interface corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal for visual display, and the method comprises the following steps: the cloud table generates video stream to the process operation interfaces corresponding to the user terminals in the user terminals and generates process operation interface video stream data corresponding to the user terminals in the user terminals; and loading the video stream data of the process operation interface corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal through a real-time loading technology for visual display.
Specifically, the cloud desktop performs video stream generation processing on the process operation interfaces corresponding to each of the plurality of user terminals, so that video stream data of the process operation interfaces corresponding to each of the plurality of user terminals can be generated; and finally, loading the video stream data of the process operation interface corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal through a real-time loading technology for visual display.
According to the embodiment of the invention, the virtual allocation of the resources of the cloud desktop running on the corresponding cloud server according to the authority of the operating user and the corresponding user terminal is realized, and the visualization of the running interface on the user terminal is realized.
In a second embodiment, referring to fig. 2, fig. 2 is a schematic structural diagram of a cloud desktop-based resource virtualization intelligent allocation system according to an embodiment of the present invention.
As shown in fig. 2, a system for resource virtualization intelligent allocation based on a cloud desktop includes a cloud desktop 21 running on a distributed cloud server and a plurality of user terminals 22 connected to the cloud desktop network, wherein the system is configured to perform the method for resource virtualization intelligent allocation according to any one of the above.
In the implementation of the present invention, the specific implementation of the system part may refer to the examples of the detailed method part, which are not described herein.
According to the embodiment of the invention, the virtual allocation of the resources of the cloud desktop running on the corresponding cloud server according to the authority of the operating user and the corresponding user terminal is realized, and the visualization of the running interface on the user terminal is realized.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program to instruct related hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
In addition, the method and the system for resource virtualization intelligent allocation based on the cloud desktop provided by the embodiment of the invention are described in detail, and specific examples are adopted to illustrate the principle and the implementation of the invention, and the description of the above embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (6)
1. The method is characterized by comprising a cloud desktop running on a distributed cloud server and a plurality of user terminals connected with the cloud desktop through a network, and comprises the following steps:
respectively generating resource allocation requests on the plurality of user terminals, and uploading the resource allocation requests to the cloud desktop;
the cloud desktop responds to the resource allocation request and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers;
the cloud desktop performs resource virtualization allocation processing according to the current running state information and the configuration information based on the resource allocation request to obtain resource allocation data of each of a plurality of user terminals;
the cloud desktop operates a process corresponding to the process information required to be operated in the resource allocation request based on the resource allocation data of each user terminal, and process operation interfaces corresponding to each user terminal in a plurality of user terminals are obtained;
the cloud desktop loads process running interfaces corresponding to all the user terminals in the plurality of user terminals to the corresponding user terminals for visual display;
the resource allocation request comprises operation user identity information corresponding to the operation user terminals, first geographic position information corresponding to the user terminals and information of required running processes; the current running state information comprises real-time running load information of each cloud server; the configuration information comprises second geographical position information and preset load information of each cloud server in the distributed cloud servers;
the cloud desktop performs resource virtualization allocation processing according to current running state information and configuration information based on the resource allocation request, and the resource virtualization allocation processing comprises the following steps:
the cloud desktop performs distance sorting processing based on first geographic position information corresponding to a plurality of user terminals in the resource allocation request and second geographic position information of each cloud server in the distributed cloud servers in the configuration information, and a distance sorting list of each user terminal and each cloud server is obtained;
matching corresponding user rights on the cloud desktop based on the operation user identity information corresponding to the operation users on the user terminals, and sorting the user terminals based on the user rights to form a rights sorting list corresponding to the user terminals;
calculating based on the real-time operation load information of each cloud platform server and the preset load information of each cloud platform server to obtain the residual load information of each cloud platform server;
acquiring the required operation resource information corresponding to the user terminals based on the required operation process information corresponding to the user terminals;
performing resource virtualization allocation processing based on authority ordering lists corresponding to a plurality of user terminals, distance ordering lists of each user terminal and each cloud server, residual load information of each cloud server and required operation resource information corresponding to a plurality of user terminals;
the resource virtualization allocation processing based on the authority ordering list corresponding to the user terminals, the distance ordering list between the user terminals and the cloud servers, the residual load information of the cloud servers and the required operation resource information corresponding to the user terminals comprises the following steps:
selecting corresponding user terminals from high to low according to rights in a rights sequencing list corresponding to a plurality of user terminals to obtain selected user terminals;
selecting cloud servers from near to far according to the distance by using the selected user terminal in a distance sorting list corresponding to each cloud server to obtain a selected cloud server;
comparing the required operation resource information corresponding to the selected user terminal with the residual load information of the selected cloud server, and returning to the cloud server selection step when the required operation resource information corresponding to the selected user terminal is larger than the residual load information of the selected cloud server;
if the required operation resource information corresponding to the selected user terminal is smaller than the residual load information of the selected cloud server, performing resource virtualization allocation processing in the selected cloud server based on the required operation resource information corresponding to the selected user terminal;
after the resource virtualization allocation processing is performed in the selected cloud server based on the required operation resource information corresponding to the selected user terminal, the method further comprises the following steps:
and obtaining residual load information after distribution remained after the virtual distribution processing of the resources of the selected cloud server, and updating the residual load information of the cloud server in each cloud server by utilizing the residual load information after distribution.
2. The method for intelligently distributing virtualized resources according to claim 1, wherein generating resource distribution requests on the plurality of user terminals and uploading the resource distribution requests to the cloud desktop respectively comprises:
the user terminals respectively receive identity authentication requests of operation users and upload the identity authentication requests to the cloud desktop;
the authorization center of the cloud desktop generates an electronic document to be authenticated based on the identity authentication request, and issues the electronic document to be authenticated to a corresponding user terminal;
the operation user performs identity authentication operation on the corresponding user terminal based on the electronic document to be authenticated to form an identity authentication electronic document, and the identity authentication electronic document is uploaded to the cloud desktop;
the authorization center in the cloud desktop performs identity authentication processing based on the identity authentication electronic document and issues an identity authentication result to a corresponding user terminal;
and the operating user selects the process information to be operated on the corresponding user terminal based on the identity authentication result to perform resource allocation operation, generates the resource allocation request, and uploads the resource allocation request to the cloud desktop.
3. The method for intelligently distributing virtualized resources according to claim 1, wherein the cloud desktop responds to the resource distribution request and obtains current running state information of each cloud server in the distributed cloud servers and configuration information of the distributed cloud servers, and the method comprises the following steps:
the cloud desktop responds to the resource allocation request and reads the server identification of each cloud server in the distributed cloud servers;
acquiring configuration information of each cloud server in the distributed cloud servers based on the server identification;
and the cloud table reads the running state of each cloud server in the distributed cloud servers to obtain the current running state information of each cloud server in the distributed cloud servers.
4. The method of claim 1, wherein the cloud desktop performs distance sorting processing based on first geographic location information corresponding to a plurality of user terminals in the resource allocation request and second geographic location information of each cloud server in the distributed cloud servers in the configuration information, and obtains a distance sorting list of each user terminal and each cloud server, and the method comprises the following steps:
the cloud desktop calculates the distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server by using the first geographic position information corresponding to the plurality of user terminals in the resource allocation request and the second geographic position information of each cloud server in the distributed cloud server in the configuration information, and obtains the calculated distance between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud server;
and performing distance sorting processing based on the calculated distances between each user terminal in the plurality of user terminals and each cloud server in the distributed cloud servers to obtain a distance sorting list of each user terminal and each cloud server.
5. The method for intelligently distributing virtualized resources according to claim 1, wherein the cloud desktop loads the process running interfaces corresponding to each of the plurality of user terminals to the corresponding user terminal for visual display, and the method comprises the steps of:
the cloud table generates video stream to the process operation interfaces corresponding to the user terminals in the user terminals and generates process operation interface video stream data corresponding to the user terminals in the user terminals;
and loading the video stream data of the process operation interface corresponding to each user terminal in the plurality of user terminals to the corresponding user terminal through a real-time loading technology for visual display.
6. A cloud desktop based resource virtualization intelligent allocation system, characterized in that the system comprises a cloud desktop running on a distributed cloud server and a number of user terminals connected to the cloud desktop network, wherein the system is configured for executing the method of resource virtualization intelligent allocation according to any of claims 1-5.
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