CN112104682A - Intelligent distribution method and system for cloud desktop server, storage medium and central control server - Google Patents
Intelligent distribution method and system for cloud desktop server, storage medium and central control server Download PDFInfo
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- CN112104682A CN112104682A CN201910527111.0A CN201910527111A CN112104682A CN 112104682 A CN112104682 A CN 112104682A CN 201910527111 A CN201910527111 A CN 201910527111A CN 112104682 A CN112104682 A CN 112104682A
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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
- H04L67/101—Server selection for load balancing based on network conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0852—Delays
Abstract
The invention provides an intelligent distribution method and system of a cloud desktop server, a storage medium and a central control server, which comprise the following steps: receiving a connection request sent by a client; acquiring network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process; dividing each network delay information into different grades based on a preset rule; and selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority to distribute to the client. According to the cloud desktop server intelligent distribution method and system, the storage medium and the central control server, the currently most preferred cloud desktop server is intelligently distributed to the client based on the network connection quality between the client and the server, so that the user experience is greatly improved.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to an intelligent distribution method and system of a cloud desktop server, a storage medium and a central control server.
Background
With the rapid development of intelligent mobile devices, electronic products such as smart phones, tablet computers, network televisions and the like have gradually entered into daily lives of people. People can use the intelligent mobile device to do shopping, reading, entertainment and other activities, thereby further promoting the continuous innovation and perfection of the functions of the intelligent mobile device and gradually realizing various functions of the PC.
However, the storage space of the smart mobile device and the working speed of the computing chip are relatively limited, and it is difficult for a user to obtain the same operation experience as using a PC on the smart mobile device. Therefore, cloud computers have come into operation. The cloud computer is an integral service scheme and comprises cloud resources, a transmission protocol and a cloud terminal. The open cloud terminal provides resources such as desktops, applications and hardware to users in a service mode of service on demand and flexible distribution through a transmission protocol. The intelligent mobile device, the PC, the intelligent television and the like can be used as a terminal, and service functions provided by a remote server, such as office software, game software and the like, can be acquired by remotely accessing the remote cloud server.
Specifically, the servers as cloud resources may be distributed in different geographic locations, so that the smart devices distributed in different geographic locations initiate one-to-one access to the servers. Therefore, in the face of a large number of servers, how to allocate an optimal server to an intelligent device becomes a hot topic of current research.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide an intelligent cloud desktop server allocation method and system, a storage medium, and a central control server, which intelligently allocate the currently most preferred cloud desktop server to a client based on the quality of network connection between the client and the server, thereby greatly improving user experience.
In order to achieve the above objects and other related objects, the present invention provides an intelligent allocation method for cloud desktop servers, which is applied to a central control server, and comprises the following steps: receiving a connection request sent by a client; acquiring network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process; dividing each network delay information into different grades based on a preset rule; and selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority to distribute to the client.
In an embodiment of the present invention, the preset rule is:
acquiring a preset number of network delay information, and calculating average network delay;
calculating a network delay standard deviation based on the average network delay, and taking the ratio of the network delay standard deviation to the average network delay as a variation coefficient;
when the coefficient of variation is not larger than a first threshold value, the current network is available, and the current network is divided into different grades based on the average network delay;
when the coefficient of variation is greater than the first threshold, indicating that the current network is unavailable.
In one embodiment of the present invention, when the current network is classified into different levels based on the average network delay,
when the average network delay information is not greater than a first preset value, dividing the average network delay information into a first grade;
when the average network delay information is larger than the first preset value and not larger than a second preset value, dividing the average network delay information into a second grade;
when the average network delay information is larger than the second preset value, dividing the average network delay information into a third grade;
wherein the priorities of the first level, the second level, and the third level are sequentially decreased.
In an embodiment of the present invention, when the number of server clusters corresponding to the network delay information with the highest level priority is greater than one, a cloud desktop server in the server cluster with the smallest network delay information is selected; and if the cloud desktop servers in the server cluster with the minimum network delay information are all in a working state, selecting the cloud desktop servers in the server cluster with the minimum network delay information from the rest server clusters until the cloud desktop servers in an idle state are selected.
In an embodiment of the present invention, if all the cloud desktop servers in the server cluster corresponding to the network delay information with the highest priority level are in a working state, the cloud desktop server in the server cluster corresponding to the network delay information with the next priority level is selected.
In an embodiment of the present invention, when the cloud desktop servers in each server cluster are all in a working state, sending queuing information to the client.
In an embodiment of the present invention, after the client queues up, a connection confirmation message is sent to the client, so as to determine whether to establish a connection with the allocated cloud desktop server based on the feedback information of the client.
Correspondingly, the invention provides an intelligent distribution system of a cloud desktop server, which is applied to a central control server and comprises a receiving module, an obtaining module, a dividing module and a selecting module;
the receiving module is used for receiving a connection request sent by a client;
the acquisition module is used for acquiring and sending network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process;
the dividing module is used for dividing each network delay information into different grades based on a preset rule;
the selection module is used for selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority and distributing the cloud desktop server to the client.
The invention provides a storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the intelligent distribution method of the cloud desktop server is realized.
The invention provides a central control server, which comprises a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory, so that the central control server executes the intelligent cloud desktop server allocation method.
Finally, the invention provides an intelligent distribution system of a cloud desktop server, which comprises the central control server, a client and a plurality of server clusters;
the client is used for sending a connection request to the central control server, collecting network delay information of each server cluster and sending the network delay information to the central control server;
the server cluster is used for distributing the cloud desktop servers to the client under the control of the central control server.
As described above, the cloud desktop server intelligent allocation method and system, the storage medium and the central control server of the present invention have the following beneficial effects:
(1) intelligently allocating a currently most preferred cloud desktop server for the client based on the network connection quality between the client and the server;
(2) manual distribution is not needed, the intelligent degree is high, and the user experience is greatly improved.
Drawings
Fig. 1 is a flowchart illustrating an intelligent cloud desktop server allocation method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an embodiment of the cloud desktop server intelligent distribution system of the present invention;
FIG. 3 is a schematic structural diagram of a central server according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent cloud desktop server distribution system according to another embodiment of the present invention.
Description of the element reference numerals
21 receiving module
22 acquisition module
23 dividing module
24 selection module
31 processor
32 memory
41 center control server
42 client
43 Server Cluster
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
According to the cloud desktop server intelligent distribution method and system, the storage medium and the central control server, the currently most preferred cloud desktop server is intelligently distributed to the client based on the network connection quality between the client and the server, so that the client can be ensured to access the cloud desktop server more quickly, and the user experience is greatly improved. It should be noted that the cloud desktop server intelligent allocation method and system, the storage medium and the central control server provided by the invention are applied to the cloud computer scene. The client can log in the cloud desktop server remotely and control the cloud desktop server. The client and the cloud desktop servers are connected in a one-to-one correspondence manner, so that a cloud desktop server with the best current connection state needs to be selected from a large number of cloud desktop servers.
As shown in fig. 1, in an embodiment, the cloud desktop server intelligent allocation method of the present invention is applied to a central control server, and includes the following steps:
and step S1, receiving the connection request sent by the client.
Specifically, when a client needs to remotely access a server to perform related operations by using resources on the server, the client first sends a connection request to the central control server. And after receiving the connection request, the central control server enables the client to detect network delay information between the client and each server cluster. Wherein, the server cluster comprises a plurality of servers.
Preferably, the central control server further sends the currently available information of each server cluster list to the client, so that the client acquires the server cluster information.
And step S2, acquiring and sending the network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process.
Specifically, the client collects network delay information between the client and each server cluster, and sends the network delay information to the central control server in a wireless mode.
And step S3, dividing each network delay information into different grades based on a preset rule.
In an embodiment of the present invention, the preset rule is:
(1) and acquiring the network delay information of a preset number, and calculating the average network delay. Specifically, for the same server cluster, first, a preset number of network delay information from a client to the server cluster, such as 55 network delay information, is obtained, and an average network delay of the preset number of network delay information is obtained.
(2) And calculating a network delay standard deviation based on the average network delay, and taking the ratio of the network delay standard deviation to the average network delay as a variation coefficient.
Specifically, for the collected preset number of network delay information, a network delay standard deviation is calculated based on the average network delay, so that the network fluctuation condition from the client to the server cluster is obtained, and a variation coefficient is calculated based on the network delay standard deviation.
(3) When the coefficient of variation is not greater than the first threshold, the current network jitter is acceptable without affecting the use of the cloud desktop server, and the current network is divided into different levels based on the average network delay.
(a) And when the average network delay information is not greater than a first preset value, such as 30ms, the network is classified into a first grade. At this level, the communication between the client and the server is very smooth, and the user experience is excellent.
(b) And when the average network delay information is greater than the first preset value and not greater than a second preset value, such as 50ms, the network delay information is classified into a second grade. At this level, the communication between the client and the server is smooth and the user does not feel noticeable stuck.
(c) And when the average network delay information is larger than the second preset value, dividing the average network delay information into a third grade. At this level, the communication between the client and the server is less smooth and the user feels a noticeable seizure.
Therefore, in order to ensure the fluency of the client operation, the priorities of the first level, the second level and the third level are sequentially lowered.
(4) And when the coefficient of variation is larger than the first threshold, indicating that the current network is unavailable, and directly filtering.
And step S4, selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority to distribute to the client.
Specifically, the central control server preferentially selects the cloud desktop server in the server cluster of the first level according to the network delay information of each server cluster and the client. And if the server cluster of the first level does not exist, selecting a cloud desktop server in the server cluster of the second level, sending notification information to the client, and determining whether to connect to the cloud desktop server in the server cluster of the second level based on the feedback information of the client. If only the third level server cluster exists, it indicates that the corresponding server cluster is currently in an unavailable state. And the notification information is used for notifying the current server cluster that network delay may exist. The feedback information is used for indicating whether to connect to a cloud desktop server in a server cluster of the third level.
In an embodiment of the present invention, when the number of server clusters corresponding to the network delay information with the highest level priority is greater than one, a cloud desktop server in the server cluster with the smallest network delay information is selected; and if the cloud desktop servers in the server cluster with the minimum network delay information are all in a working state, selecting the cloud desktop servers in the server cluster with the minimum network delay information from the rest server clusters until the cloud desktop servers in an idle state are selected. Specifically, if there are at least two server clusters at the first level, the cloud desktop server in the server cluster with the minimum network delay information may be selected. Because the client and the cloud desktop servers are connected in a one-to-one correspondence manner, if the cloud desktop servers in the server cluster with the minimum network delay information are all in a working state, the idle cloud desktop servers can be continuously selected from the rest server clusters according to the principle until the cloud desktop servers in the idle state are selected.
In an embodiment of the present invention, if all the cloud desktop servers in the server cluster corresponding to the network delay information with the highest priority level are in a working state, the cloud desktop server in the server cluster corresponding to the network delay information with the next priority level is selected. Specifically, if a first-level server cluster exists, but servers in the server cluster are all in a working state, in order to avoid the situation that a client waits, a cloud desktop server is selected from a second-level server cluster.
In an embodiment of the present invention, the method for intelligently allocating cloud desktop servers further includes sending queuing information to the client when the cloud desktop servers in each server cluster are all in a working state. Specifically, during a peak period of access of the cloud desktop servers, all the cloud desktop servers are in a working state. At this time, the client needs to queue. The central control server can send the queuing information to the client. Wherein the queuing information comprises a queuing sequence number and/or a predicted queuing time. The client may select whether to continue queuing based on the queuing information. After queuing is finished, the central control server needs to send connection confirmation information to the client, and whether connection between the client and the distributed cloud desktop servers is established is determined based on connection feedback information of the client. Preferably, the client can select a hosting queuing function, and after the client queues up, the central control server does not need to confirm and can directly enable the client to automatically establish connection with the allocated cloud desktop server, so that the client is prevented from missing the opportunity of accessing the cloud desktop server. It should be noted that when the cloud desktop server provides a charging service, charging is started from the time when the connection is established with the client.
As shown in fig. 2, in an embodiment, the cloud desktop server intelligent distribution system of the present invention is applied to a central control server, and includes a receiving module 21, an obtaining module 22, a dividing module 23, and a selecting module 24.
The receiving module 21 is configured to receive a connection request sent by a client.
Specifically, when a client needs to remotely access a server to perform related operations by using resources on the server, the client first sends a connection request to the central control server. And after receiving the connection request, the central control server enables the client to detect network delay information between the client and each server cluster. Wherein, the server cluster comprises a plurality of servers.
Preferably, the central control server further sends the currently available information of each server cluster list to the client, so that the client acquires the server cluster information.
The obtaining module 22 is connected to the receiving module 21, and is configured to obtain network delay information of the client and each server cluster, which is collected and sent by the client in the connection request process.
Specifically, the client collects network delay information between the client and each server cluster, and sends the network delay information to the central control server in a wireless mode.
The dividing module 23 is connected to the obtaining module 22, and is configured to divide each network delay information into different levels based on a preset rule.
In an embodiment of the present invention, the preset rule is:
(1) and acquiring the network delay information of a preset number, and calculating the average network delay. Specifically, for the same server cluster, first, a preset number of network delay information from a client to the server cluster, such as 55 network delay information, is obtained, and an average network delay of the preset number of network delay information is obtained.
(2) And calculating a network delay standard deviation based on the average network delay, and taking the ratio of the network delay standard deviation to the average network delay as a variation coefficient.
Specifically, for the collected preset number of network delay information, a network delay standard deviation is calculated based on the average network delay, so that the network fluctuation condition from the client to the server cluster is obtained, and a variation coefficient is calculated based on the network delay standard deviation.
(3) When the coefficient of variation is not greater than the first threshold, the current network jitter is acceptable without affecting the use of the cloud desktop server, and the current network is divided into different levels based on the average network delay.
(a) And when the average network delay information is not greater than a first preset value, such as 30ms, the network is classified into a first grade. At this level, the communication between the client and the server is very smooth, and the user experience is excellent.
(b) And when the average network delay information is greater than the first preset value and not greater than a second preset value, such as 50ms, the network delay information is classified into a second grade. At this level, the communication between the client and the server is smooth and the user does not feel noticeable stuck.
(c) And when the average network delay information is larger than the second preset value, dividing the average network delay information into a third grade. At this level, the communication between the client and the server is less smooth and the user feels a noticeable seizure.
Therefore, in order to ensure the fluency of the client operation, the priorities of the first level, the second level and the third level are sequentially lowered.
(4) And when the coefficient of variation is larger than the first threshold, indicating that the current network is unavailable, and directly filtering.
The selecting module 24 is connected to the dividing module 23, and is configured to select a cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority to be allocated to the client.
Specifically, the central control server preferentially selects the cloud desktop server in the server cluster of the first level according to the network delay information of each server cluster and the client. And if the server cluster of the first level does not exist, selecting a cloud desktop server in the server cluster of the second level, sending notification information to the client, and determining whether to connect to the cloud desktop server in the server cluster of the second level based on the feedback information of the client. If only the third level server cluster exists, it indicates that the corresponding server cluster is currently in an unavailable state. And the notification information is used for notifying the current server cluster that network delay may exist. The feedback information is used for indicating whether to connect to a cloud desktop server in a server cluster of the third level.
In an embodiment of the present invention, when the number of server clusters corresponding to the network delay information with the highest level priority is greater than one, a cloud desktop server in the server cluster with the smallest network delay information is selected; and if the cloud desktop servers in the server cluster with the minimum network delay information are all in a working state, selecting the cloud desktop servers in the server cluster with the minimum network delay information from the rest server clusters until the cloud desktop servers in an idle state are selected. Specifically, if there are at least two server clusters at the first level, the cloud desktop server in the server cluster with the minimum network delay information may be selected. Because the client and the cloud desktop servers are connected in a one-to-one correspondence manner, if the cloud desktop servers in the server cluster with the minimum network delay information are all in a working state, the idle cloud desktop servers can be continuously selected from the rest server clusters according to the principle until the cloud desktop servers in the idle state are selected.
In an embodiment of the present invention, if all the cloud desktop servers in the server cluster corresponding to the network delay information with the highest priority level are in a working state, the cloud desktop server in the server cluster corresponding to the network delay information with the next priority level is selected. Specifically, if a first-level server cluster exists, but the cloud desktop servers in the server cluster are all in a working state, in order to avoid the situation that the client waits, the cloud desktop server is selected from a second-level server cluster.
In an embodiment of the present invention, the cloud desktop server intelligent distribution system further includes a queuing module, configured to send queuing information to the client when the cloud desktop servers in each server cluster are all in a working state. Specifically, during a peak period of access of the cloud desktop servers, all the cloud desktop servers are in a working state. At this time, the client needs to queue. The central control server can send the queuing information to the client. Wherein the queuing information comprises a queuing sequence number and/or a predicted queuing time. The client may select whether to continue queuing based on the queuing information. After queuing is finished, the central control server needs to send connection confirmation information to the client, and whether connection between the client and the distributed cloud desktop servers is established is determined based on connection feedback information of the client. Preferably, the client can select a hosting queuing function, and after the client queues up, the central control server does not need to confirm and can directly enable the client to automatically establish connection with the allocated cloud desktop server, so that the client is prevented from missing the opportunity of accessing the cloud desktop server. It should be noted that when the cloud desktop server provides a charging service, charging is started from the time when the connection is established with the client.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the x module may be a processing element that is set up separately, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the x module may be called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
The storage medium of the invention stores a computer program, and the computer program realizes the intelligent distribution method of the cloud desktop server when being executed by a processor. The storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 3, in an embodiment, the central control server of the present invention includes: a processor 31 and a memory 32.
The memory 32 is used for storing computer programs.
The memory 32 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 31 is connected to the memory 32, and is configured to execute the computer program stored in the memory 32, so that the server executes the cloud desktop server intelligent allocation method described above.
Preferably, the Processor 31 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
As shown in fig. 4, in an embodiment, the cloud desktop server intelligent distribution system of the present invention includes the central control server 41, the client 42, and a plurality of server clusters 43.
The client 42 is in communication connection with the central control server 41 and the server clusters 43, and is configured to send a connection request to the central control server 41, collect network delay information associated with each server cluster 43, and send the network delay information to the central control server 41.
The number of the server clusters 43 is at least two, and the server clusters are connected to the central control server 41 and the client 42, and are used for distributing cloud desktop servers to the client 42 under the control of the central control server 41.
In an embodiment of the present invention, the client 42 may be a PC, a smart phone, a tablet computer, and a smart television.
In summary, the cloud desktop server intelligent allocation method and system, the storage medium and the central control server of the present invention intelligently allocate the currently most preferred server to the client based on the network connection quality between the client and the server; manual distribution is not needed, the intelligent degree is high, and the user experience is greatly improved. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (11)
1. An intelligent distribution method of cloud desktop servers is applied to a central control server and is characterized in that: the method comprises the following steps:
receiving a connection request sent by a client;
acquiring network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process;
dividing each network delay information into different grades based on a preset rule;
and selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority to distribute to the client.
2. The intelligent cloud desktop server allocation method according to claim 1, wherein: the preset rule is as follows:
acquiring a preset number of network delay information, and calculating average network delay;
calculating a network delay standard deviation based on the average network delay, and taking the ratio of the network delay standard deviation to the average network delay as a variation coefficient;
when the coefficient of variation is not larger than a first threshold value, the current network is available, and the current network is divided into different grades based on the average network delay;
when the coefficient of variation is greater than the first threshold, indicating that the current network is unavailable.
3. The intelligent cloud desktop server allocation method according to claim 2, wherein: when the current network is classified into different classes based on the average network delay,
when the average network delay information is not greater than a first preset value, dividing the average network delay information into a first grade;
when the average network delay information is larger than the first preset value and not larger than a second preset value, dividing the average network delay information into a second grade;
when the average network delay information is larger than the second preset value, dividing the average network delay information into a third grade;
wherein the priorities of the first level, the second level, and the third level are sequentially decreased.
4. The intelligent cloud desktop server allocation method according to claim 1, wherein: when the number of server clusters corresponding to the network delay information with the highest level priority is more than one, selecting a cloud desktop server in the server cluster with the smallest network delay information; and if the servers in the server cluster with the minimum network delay information are all in a working state, selecting the cloud desktop server in the server cluster with the minimum network delay information from the rest server clusters until the cloud desktop server in an idle state is selected.
5. The intelligent cloud desktop server allocation method according to claim 1, wherein: and if the cloud desktop servers in the server cluster corresponding to the network delay information with the highest level priority are all in a working state, selecting the cloud desktop server in the server cluster corresponding to the network delay information with the next priority level.
6. The intelligent cloud desktop server allocation method according to claim 1, wherein: and when the cloud desktop servers in each server cluster are in a working state, sending queuing information to the client.
7. The intelligent cloud desktop server allocation method according to claim 6, wherein: and after the client side queues, sending connection confirmation information to the client side so as to determine whether to establish connection with the distributed cloud desktop server or not based on the feedback information of the client side.
8. The utility model provides a cloud desktop server intelligence distribution system, is applied to well accuse server which characterized in that: the device comprises a receiving module, an obtaining module, a dividing module and a selecting module;
the receiving module is used for receiving a connection request sent by a client; (ii) a
The acquisition module is used for acquiring and sending network delay information of the client and each server cluster, which is acquired and sent by the client in the connection request process;
the dividing module is used for dividing each network delay information into different grades based on a preset rule;
the selection module is used for selecting the cloud desktop server in the server cluster corresponding to the network delay information with the highest level priority and distributing the cloud desktop server to the client.
9. A storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the cloud desktop server intelligent allocation method of any one of claims 1 to 7.
10. The central control server is characterized by comprising a processor and a memory;
the memory is used for storing a computer program;
the processor is used for executing the computer program stored in the memory to enable the central control server to execute the cloud desktop server intelligent allocation method of any one of claims 1 to 7.
11. The utility model provides a cloud desktop server intelligence distribution system which characterized in that: comprising the central server, the client and a plurality of server clusters of claim 10;
the client is used for sending a connection request to the central control server, collecting network delay information of each server cluster and sending the network delay information to the central control server;
the server cluster is used for distributing the cloud desktop servers to the client under the control of the central control server.
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