CN110704382B - File deployment method, device, server and storage medium - Google Patents

Abstract

A file deployment method, the method comprising: when receiving a file deployment instruction, judging whether there is a first device node storing a target file indicated by the file deployment instruction from a plurality of device nodes included in all computer rooms; If there is a first device node that stores the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located; determine whether the number of the target computer rooms is greater than or equal to a preset computer room number threshold; if the The number of the target computer rooms is greater than or equal to the preset computer room number threshold, and the deployment computer room is determined from the target computer room according to the available space capacity of the target computer room; and the target file is deployed to the deployment computer room through the internal network device node. The invention also provides a file deployment device, a server and a storage medium. The invention can reduce network overhead and improve the success rate of file deployment.

Description

File deployment method, device, server and storage medium

technical field

The present invention relates to the technical field of data storage, in particular to a file deployment method, device, server and storage medium.

Background technique

With the development of Internet technology, storing files online (cloud storage) is becoming more and more popular due to its convenience.

At present, when deploying files, the cloud storage system selects device nodes in different computer rooms for deployment. However, in practice, it is found that during the file deployment process, the bandwidth of the external network will be consumed, thereby increasing network overhead, and security, The stability is not high enough, which reduces the success rate of file deployment.

Therefore, how to reduce network overhead and improve the success rate of file deployment is a technical problem that needs to be solved urgently.

Contents of the invention

In view of the above, it is necessary to provide a file deployment method, device, server and storage medium, which can reduce network overhead and improve the success rate of file deployment.

A first aspect of the present invention provides a file deployment method, the method comprising:

When the file deployment instruction is received, it is judged from the plurality of device nodes included in all the computer rooms whether there is a first device node storing the target file indicated by the file deployment instruction;

If there is a first device node storing the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located;

judging whether the number of the target computer rooms is greater than or equal to a preset number threshold of computer rooms;

If the number of the target computer rooms is greater than or equal to the preset computer room quantity threshold, determine the deployment computer room from the target computer rooms according to the available space capacity of the target computer rooms;

Deploy the target file to the device node in the deployment computer room through the internal network.

In a possible implementation manner, after determining the deployment computer room from the target computer room according to the available space capacity of the target computer room, the method further includes:

Obtain the scheduling score of each device node in the deployment computer room;

Determining a deployment device node from the deployment computer room according to the scheduling score of each device node and a preset score threshold;

Deploying the target file to the device node in the deployment computer room through the internal network includes:

Copying the target file stored in the first device node of the deployment computer room to the deployment device node of the deployment computer room through an internal network.

In a possible implementation manner, there are multiple preset score thresholds, and the multiple preset score thresholds are sorted from large to small, and the scheduling score and preset score thresholds according to each device node , determining the deployment device node from the deployment computer room includes:

For a maximum preset score threshold among the plurality of preset score thresholds, counting a first number of second device nodes whose scheduling scores are greater than the maximum preset score threshold in the deployment computer room;

judging whether the first number is greater than or equal to a preset node number threshold;

If the first number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the second device nodes.

In a possible implementation, the method further includes:

If the first number is less than the preset node number threshold, according to the arrangement order of the preset score thresholds from large to small, extract a first preset score threshold other than the maximum preset score threshold;

Counting the second number of third device nodes whose scheduling score is greater than the first preset score threshold in the deployment computer room;

judging whether the second number is greater than or equal to the preset node number threshold;

If the second number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the third device nodes.

In a possible implementation, the method further includes:

If the number of the target computer rooms is less than the preset number threshold of computer rooms, it is judged whether the configuration file carries indication information that needs to perform computer room disaster recovery;

If the configuration file carries the instruction information that requires computer room disaster recovery, from all the computer rooms except the target computer room, determine the computer room with the largest available space capacity as the first computer room;

judging whether the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room;

If the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the device node of the target computer room through the internal network, and deploy the target file through the external network The files are backed up to the device nodes in the first computer room.

In a possible implementation, the method further includes:

If there is no first device node storing the target file indicated by the file deployment instruction, determine the second computer room from all computer rooms according to the available space capacity of all computer rooms;

Deploy the target file to the second computer room.

In a possible implementation, the method further includes:

For each computer room, obtain node information of each device node in the computer room at preset time intervals;

determining multiple weight values of the device node according to the node information;

calculating a scheduling score of the device node according to the plurality of weight values;

The scheduling score is stored.

A second aspect of the present invention provides a file deployment device, the device comprising:

A judging module, configured to, when receiving a file deployment instruction, judge whether there is a first device node storing the target file indicated by the file deployment instruction from a plurality of device nodes included in all computer rooms;

A determining module, configured to determine the target computer room where the first device node is located if there is a first device node storing the target file indicated by the file deployment instruction;

The judging module is also used to judge whether the number of the target computer rooms is greater than or equal to the preset number threshold of computer rooms;

The determining module is further configured to determine the deployment computer room from the target computer room according to the available space capacity of the target computer room if the number of the target computer room is greater than or equal to the preset computer room number threshold;

The deployment module is configured to deploy the target file to the device nodes in the deployment computer room through the internal network.

A third aspect of the present invention provides a server, where the server includes a processor and a memory, and the processor is configured to implement the file deployment method when executing a computer program stored in the memory.

A fourth aspect of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the above-mentioned file deployment method is realized.

Based on the above technical solution, in the present invention, when the file deployment instruction is received, it can be judged from the plurality of device nodes included in all computer rooms whether there is a first device node storing the target file indicated by the file deployment instruction; if There is a first device node storing the target file indicated by the file deployment instruction, determining the target computer room where the first device node is located; judging whether the number of the target computer rooms is greater than or equal to a preset computer room number threshold; if the The number of target computer rooms is greater than or equal to the preset computer room number threshold, according to the available space capacity of the target computer room, determine the deployment computer room from the target computer room; deploy the target file to the equipment in the deployment computer room through the internal network node. It can be seen that in the present invention, files can be deployed to device nodes through the internal network, thereby not consuming external network bandwidth and reducing network overhead. Because the internal network is more stable and secure than the external network, the success rate of file deployment is also improved.

Description of drawings

Fig. 1 is a flowchart of a preferred embodiment of a file deployment method disclosed in the present invention.

Fig. 2 is a functional block diagram of a preferred embodiment of a file deployment device disclosed in the present invention.

Fig. 3 is a schematic structural diagram of a server implementing a preferred embodiment of a file deployment method in the present invention.

detailed description

In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention.

The file deployment method in the embodiment of the present invention is applied in a server, and may also be applied in a hardware environment composed of a server and an electronic device connected to the server through a network, and is jointly executed by the server and the electronic device. Networks include, but are not limited to: Wide Area Networks, Metropolitan Area Networks, or Local Area Networks.

Wherein, the server may refer to a computer system capable of providing services to other devices (such as electronic devices) in the network. If a personal computer can provide a file transfer protocol (File Transfer Protocol, referred to as FTP) service, it can also be called a server. In a narrow sense, a server specifically refers to certain high-performance computers that can provide external services through the network. Compared with ordinary personal computers, it has higher requirements for stability, security, and performance. , chipset, memory, disk system, network and other hardware are different from ordinary personal computers.

The electronic device is a device that can automatically perform numerical calculations and/or information processing according to preset or stored instructions, and its hardware includes but is not limited to microprocessors, application-specific integrated circuits (ASICs), programmable gate arrays (FPGA), digital processor (DSP), embedded devices, etc. The electronic equipment may also include network equipment and/or user equipment. Wherein, the network device includes but is not limited to a single network server, a server group composed of multiple network servers, or a cloud based on cloud computing (Cloud Computing) composed of a large number of hosts or network servers, wherein cloud computing is distributed computing A super virtual computer consisting of a group of loosely coupled computer sets. The user equipment includes but is not limited to any electronic product that can interact with the user through keyboards, mice, remote controls, touch pads, or voice-activated devices, such as personal computers, tablet computers, smart phones, personal digital Assistant PDA etc.

Please refer to FIG. 1 . FIG. 1 is a flowchart of a preferred embodiment of a file deployment method disclosed in the present invention. Wherein, according to different requirements, the order of the steps in the flow chart can be changed, and some steps can be omitted.

S11. When receiving the file deployment instruction, the server judges whether there is a first device node storing the target file indicated by the file deployment instruction from among the multiple device nodes included in all the computer rooms. If yes, perform step S12, if not , to end this process.

Wherein, the device node may include a server, an intelligent hardware device, and the like.

In the embodiment of the present invention, when a file deployment instruction is received, because the target file indicated by the file deployment instruction may have been deployed to multiple device nodes before, it may be lost due to some reasons (such as a computer room failure). Several or all object files. It is necessary to determine whether there is a device node (first device node) storing the target file indicated by the file deployment instruction.

As an optional implementation, the method also includes:

If there is no first device node storing the target file indicated by the file deployment instruction, determine the second computer room from all computer rooms according to the available space capacity of all computer rooms;

Deploy the target file to the second computer room.

In this optional implementation, if there is no first device node storing the target file indicated by the file deployment instruction, it is necessary to determine the available space capacity of all computer rooms, and maximize the available space capacity from all computer rooms The computer room is determined as the deployment computer room for file deployment. If the parameters in the configuration file indicate that disaster recovery is not required for the computer room, the target file can be deployed to the device node in the deployment computer room that meets the preset requirements.

Optionally, if the parameters in the configuration file indicate that computer room disaster recovery is required, it is also necessary to select the computer room with the largest available space capacity from all computer rooms except the deployment computer room, and use it as the disaster recovery computer room for file backup. In addition to deploying the target file to the device node meeting the preset requirements in the deployment computer room, it is also necessary to deploy a copy of the target file to the device node meeting the preset requirements in the disaster recovery computer room.

Optionally, if there is no device node meeting the preset requirements in the deployment computer room, or there is no device node meeting the preset requirements in the disaster recovery computer room, a warning message is generated and sent to the user terminal.

Wherein, the computer room disaster recovery refers to backing up files in another computer room, so as to prevent a computer room from losing files or stopping providing services for the files due to a failure in one computer room.

Wherein, the preset requirement may be that the number of device nodes whose scheduling scores are greater than the preset score threshold is greater than the preset node quantity threshold.

Wherein, the second computer room may include a deployment computer room and a disaster recovery computer room.

S12. The server determines the target computer room where the first device node is located.

In this optional implementation, because when deploying a file in a computer room, if there is a file to be deployed in the device node of the computer room, the file can be deployed to other device nodes in the same computer room through the intranet , does not consume external network bandwidth, can reduce network overhead, is also more secure and reliable, and can improve the success rate of file deployment. Therefore, it is necessary to determine the target computer room where the first device node storing the target file indicated by the file deployment instruction is located.

S13. The server judges whether the number of the target computer rooms is greater than or equal to the preset number threshold of computer rooms. If yes, execute step S14. If not, end the process.

In the embodiment of the present invention, a threshold for the number of computer rooms can be set in advance, because in general, files can be deployed to equipment nodes in two computer rooms in the embodiment of the present invention (the purpose is to do disaster recovery for the computer room), and the embodiment of the present invention sets The threshold for the number of computer rooms can be 2.

As an optional implementation, the method also includes:

If the number of the target computer rooms is less than the preset number threshold of computer rooms, it is judged whether the configuration file carries indication information that needs to perform computer room disaster recovery;

If the configuration file carries the instruction information that requires computer room disaster recovery, from all the computer rooms except the target computer room, determine the computer room with the largest available space capacity as the first computer room;

judging whether the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room;

If the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the device node of the target computer room through the internal network, and deploy the target file through the external network The files are backed up to the device nodes in the first computer room.

In this optional implementation, if the number of target computer rooms is less than the preset number of computer rooms, it can be determined that disaster recovery of computer rooms has not been performed, and it is necessary to determine whether the configuration file contains information indicating that disaster recovery of computer rooms is required. Carrying the instruction information that disaster recovery needs to be carried out for the computer room, it is necessary to determine the computer room with the largest available space capacity as the first computer room from all the computer rooms except the target computer room. And select the computer room with the largest available space capacity from the target computer room and the first computer room as the deployment computer room, that is, if the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the target computer room through the internal network , and deploy a target file to the device node of the first computer room through the external network (computer room disaster recovery); or, if the space capacity of the target computer room is less than the available space capacity of the first computer room, through the external network, the target One copy of the file is deployed to the device node in the first computer room, and then the target file is copied to other device nodes in the first computer room through the internal network until the number of copies of the target file deployed meets the number indicated by the file deployment instruction.

S14. The server determines a deployment computer room from the target computer room according to the available space capacity of the target computer room.

In the embodiment of the present invention, the computer room with the largest available space capacity may be determined as the deployment computer room among multiple target computer rooms, so as to ensure sufficient space capacity for file deployment.

S15. The server deploys the target file to the device node in the deployment computer room through the internal network.

In the embodiment of the present invention, since there is a first device node storing the target file in the deployment computer room, and all device nodes in the same computer room belong to an internal network, the target file can be deployed to the deployment computer room through the internal network. device node.

As an optional implementation manner, after determining the deployment computer room from the target computer room according to the available space capacity of the target computer room, the method further includes:

Obtain the scheduling score of each device node in the deployment computer room;

Determining a deployment device node from the deployment computer room according to the scheduling score of each device node and a preset score threshold;

Deploying the target file to the device node in the deployment computer room through the internal network includes:

Copying the target file stored in the first device node of the deployment computer room to the deployment device node of the deployment computer room through an internal network.

In this optional implementation, the scheduling scores of all equipment nodes are pre-stored and regularly updated, and the scheduling scores of each equipment node in the deployment computer room can be obtained, and based on the scheduling scores of each equipment node and the preset score threshold Determine the deployment device node blindly from the deployment computer room. Then copy the target file stored in the first device node in the deployment computer room to the deployment device node in the deployment computer room through the internal network.

Specifically, there are multiple preset score thresholds, and the multiple preset score thresholds are sorted from large to small, and according to the scheduling score of each device node and the preset score threshold, from the deployment computer room Determining the deployment device nodes in include:

For a maximum preset score threshold among the plurality of preset score thresholds, counting a first number of second device nodes whose scheduling scores are greater than the maximum preset score threshold in the deployment computer room;

judging whether the first number is greater than or equal to a preset node number threshold;

If the first number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the second device nodes.

Wherein, the preset node number threshold corresponds to the number of files to be deployed in the computer room, assuming that the number of device nodes suitable for scheduling corresponding to deploying a file is 125, and if the number of files to be deployed in the computer room is 1, the pre-set Set the node number threshold to 125, and if the number of file copies is 2, the preset node number threshold is 250. Because a computer room or a device node can have multiple tasks being deployed, in order to ensure that multiple tasks can be processed in parallel, it is necessary to ensure that when a file is deployed, multiple device nodes can be scheduled.

In this optional implementation manner, the preset score thresholds may be determined according to business requirements, and the preset score thresholds selected in the embodiment of the present invention are 75, 50, 25, and 0. The maximum preset score threshold is 75, and it can be judged whether the number (first number) of device nodes with a scheduling score greater than 75 is greater than or equal to the preset node number threshold, if the first number is greater than or equal to the preset node number threshold, then from the first In the second device node, select the number of deployment device nodes indicated by the file deployment instruction.

As an optional implementation, the method also includes:

If the first number is less than the preset node number threshold, according to the arrangement order of the preset score thresholds from large to small, extract a first preset score threshold other than the maximum preset score threshold;

Counting the second number of third device nodes whose scheduling score is greater than the first preset score threshold in the deployment computer room;

judging whether the second number is greater than or equal to the preset node number threshold;

If the second number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the third device nodes.

As an optional implementation, assuming that the preset score thresholds are 75, 50, 25, and 0, if the first number is less than the preset node number threshold, 50 is determined as the first preset score threshold, and statistics are deployed in the computer room Scheduling the second number of device nodes (third device nodes) whose score is greater than 50, and judging whether the second number is greater than or equal to the preset node number threshold, if the second number is greater than or equal to the preset node number threshold, from the third device Among the nodes, select the number of deployment device nodes indicated by the file deployment instruction. If the second number is less than the preset node number threshold, count the third number of equipment nodes with a scheduling score greater than 25 in the deployment computer room, and determine whether the third number is greater than or equal to the preset number threshold, if the third number is greater than or equal to the preset If the quantity threshold is set, select the deployment device nodes of the number indicated by the file deployment instruction from the deployment computer room. If the third number is less than the preset number threshold, count the fourth number of equipment nodes with a scheduling score greater than 0 in the deployment computer room, and determine whether the fourth number is greater than or equal to the preset number threshold, if the fourth number is greater than or equal to the preset number threshold, select the number of deployment device nodes indicated by the file deployment instruction from the deployment computer room. Optionally, if the fourth quantity is less than the preset quantity threshold, a warning message is generated, and the warning message is sent to the user terminal.

As an optional implementation, the method also includes:

For each computer room, obtain node information of each device node in the computer room at preset time intervals;

determining multiple weight values of the device node according to the node information;

calculating a scheduling score of the device node according to the plurality of weight values;

The scheduling score is stored.

Wherein, the node information may include: node status, available space capacity, node load, task quantity, node type, and the like.

Wherein, the node type may include: a server, an intelligent hardware device, and the like.

In this optional implementation, a time interval (preset time interval) can be preset, and the node information of all device nodes in each computer room can be obtained at every preset time interval, and then the device node can be determined according to the node information For the node status, when the node is online, the weight value is 1, when it is not online, the weight value is 0; for the available space capacity, when it is greater than 50T, the weight value is 5, when it is greater than 10T and less than or equal to 50T, The weight value is 4. When it is greater than 3T and less than or equal to 10T, the weight value is 3. When it is greater than 500G and less than or equal to 3T, the weight value is 2. When it is greater than 100G and less than or equal to 500G, the weight value is 1. When less than 100G , the weight value is 0; the node load can be the CPU (central processing unit, central processing unit) load, and the number of CPU cores used by the load. For the device node whose node type is server, when the load is less than 1, the weight value is 5, and the load When it is greater than or equal to 1 and less than 1/4 of the number of CPU cores, the weight value is 4; when the load is greater than or equal to 1/4 of the number of CPU cores and less than 1/2 of the number of CPU cores, the weight value is 3, and the load is greater than or When it is equal to 1/2 of the number of CPU cores and less than 3/4 of the number of CPU cores, the weight value is 2, and when the load is greater than or equal to 3/4 of the number of CPU cores, the weight value is 1. For a device node whose node type is an intelligent hardware device, when the load is less than 1, the weight value is 5; when the load is greater than or equal to 1 and less than 2, the weight value is 4; when the load is greater than or equal to 2 and less than 3, the weight value is 3. When the load is greater than or equal to 3 and less than 4, the weight value is 2, and when the load is greater than or equal to 4, the weight value is 1. The weight value can be determined according to the number of tasks being deployed. For a device node whose node type is a server, when the number of tasks is less than 2, the weight value is 5; when the number of tasks is greater than or equal to 2 and less than 4, the weight value is 4, and the number of tasks is greater than or equal to 4 and less than 6, the weight value is 3; when the number of tasks is greater than or equal to 6 and less than 8, the weight value is 2; when the number of tasks is greater than or equal to 8, the weight value is 1. For a device node whose node type is an intelligent hardware device, when the number of tasks is less than 1, the weight value is 5; when the number of tasks is greater than or equal to 1 and less than 2, the weight value is 4; when the number of tasks is greater than or equal to 2 and less than 3, the weight value The value is 3, when the number of tasks is greater than or equal to 3 and less than 4, the weight value is 2, and when the number of tasks is greater than or equal to 4, the weight value is 1. Wherein, the value of the weight value corresponding to different node information can be set according to specific situations. Finally, the weight value of the node state, the weight value of the available space capacity, the weight value of the node load and the weight value of the number of tasks are multiplied to obtain the scheduling score of the device node. The scheduling score of the device node can be stored in the server used to save the data. When node scheduling is required, the scheduling score can be directly read and a scheduling strategy can be made, which improves the scheduling efficiency.

In the method flow described in FIG. 1, when a file deployment instruction is received, it may be determined from a plurality of device nodes included in all computer rooms whether there is a first device node storing the target file indicated by the file deployment instruction; If there is a first device node that stores the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located; determine whether the number of the target computer rooms is greater than or equal to a preset computer room number threshold; if the The number of the target computer rooms is greater than or equal to the preset computer room number threshold, and the deployment computer room is determined from the target computer room according to the available space capacity of the target computer room; and the target file is deployed to the deployment computer room through the internal network device node. It can be seen that files can be deployed to device nodes through the internal network, thereby not consuming external network bandwidth and reducing network overhead. Because the internal network is more stable and secure than the external network, the success rate of file deployment is also improved.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. For those of ordinary skill in the art, without departing from the inventive concept of the present invention, it is also possible to make Improvements, but these all belong to the protection scope of the present invention.

Please refer to FIG. 2 . FIG. 2 is a functional block diagram of a preferred embodiment of a file deployment device disclosed in the present invention.

In some embodiments, the file deployment device runs on a server. The file deployment device may include a plurality of functional modules composed of program code segments. The program codes of the various program segments in the file deployment device may be stored in a memory and executed by at least one processor to execute some or all of the steps in the file deployment method described in FIG. 1 .

In this embodiment, the file deployment device can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a judgment module 201 , a determination module 202 and a deployment module 203 . The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, and are stored in memory. In some embodiments, the functions of each module will be described in detail in subsequent embodiments.

The judging module 201 is configured to, when receiving a file deployment instruction, judge whether there is a first device node storing the target file indicated by the file deployment instruction from among multiple device nodes included in all computer rooms.

Wherein, the device node may include a server, an intelligent hardware device, and the like.

In the embodiment of the present invention, when a file deployment instruction is received, because the target file indicated by the file deployment instruction may have been deployed to multiple device nodes before, it may be lost due to some reasons (such as a computer room failure). Several or all object files. It is necessary to determine whether there is a device node (first device node) storing the target file indicated by the file deployment instruction.

The determining module 202 is configured to determine the target computer room where the first device node is located if there is a first device node storing the target file indicated by the file deployment instruction.

In this optional implementation, because when deploying a file in a computer room, if there is a file to be deployed in the device node of the computer room, the file can be deployed to other device nodes in the same computer room through the intranet , does not consume external network bandwidth, can reduce network overhead, is also more secure and reliable, and can improve the success rate of file deployment. Therefore, it is necessary to determine the target computer room where the first device node storing the target file indicated by the file deployment instruction is located.

The judging module 201 is further configured to judge whether the number of the target computer rooms is greater than or equal to a preset number threshold of computer rooms.

In the embodiment of the present invention, a threshold for the number of computer rooms can be set in advance, because in general, files can be deployed to equipment nodes in two computer rooms in the embodiment of the present invention (the purpose is to do disaster recovery for the computer room), and the embodiment of the present invention sets The threshold for the number of computer rooms can be 2.

The determining module 202 is further configured to determine a deployment computer room from the target computer rooms according to the available space capacity of the target computer rooms if the number of the target computer rooms is greater than or equal to a preset computer room number threshold.

In the embodiment of the present invention, the computer room with the largest available space capacity may be determined as the deployment computer room among multiple target computer rooms, so as to ensure sufficient space capacity for file deployment.

The deployment module 203 is configured to deploy the target file to the device nodes in the deployment computer room through the internal network.

In the embodiment of the present invention, since there is a first device node storing the target file in the deployment computer room, and all device nodes in the same computer room belong to an internal network, the target file can be deployed to the deployment computer room through the internal network. device node.

As an optional implementation manner, the file deployment device may also include:

The first acquisition module is used for the determination module 202 to obtain the scheduling score of each device node in the deployment computer room after determining the deployment computer room from the target computer room according to the available space capacity of the target computer room;

The determination module 202 is further configured to determine the deployment equipment node from the deployment computer room according to the scheduling score of each equipment node and the preset score threshold;

The way in which the deployment module 203 deploys the target file to the device nodes in the deployment computer room through the internal network is as follows:

Copying the target file stored in the first device node of the deployment computer room to the deployment device node of the deployment computer room through an internal network.

In this optional implementation, the scheduling scores of all equipment nodes are pre-stored and regularly updated, and the scheduling scores of each equipment node in the deployment computer room can be obtained, and based on the scheduling scores of each equipment node and the preset score threshold Determine the deployment device node blindly from the deployment computer room. Then copy the target file stored in the first device node in the deployment computer room to the deployment device node in the deployment computer room through the internal network.

As an optional implementation manner, there are multiple preset score thresholds, and the multiple preset score thresholds are sorted from large to small, and the determining module 202 according to the scheduling score of each device node and the preset Set the score threshold, and determine the way to deploy device nodes from the deployment computer room as follows:

For a maximum preset score threshold among the plurality of preset score thresholds, counting a first number of second device nodes whose scheduling scores are greater than the maximum preset score threshold in the deployment computer room;

judging whether the first number is greater than or equal to a preset node number threshold;

If the first number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the second device nodes.

Wherein, the preset node number threshold corresponds to the number of files to be deployed in the computer room, assuming that the number of device nodes suitable for scheduling corresponding to deploying a file is 125, and if the number of files to be deployed in the computer room is 1, the pre-set Set the node number threshold to 125, and if the number of file copies is 2, the preset node number threshold is 250. Because a computer room or a device node can have multiple tasks being deployed, in order to ensure that multiple tasks can be processed in parallel, it is necessary to ensure that when a file is deployed, multiple device nodes can be scheduled.

In this optional implementation manner, the preset score thresholds may be determined according to business requirements, and the preset score thresholds selected in the embodiment of the present invention are 75, 50, 25, and 0. The maximum preset score threshold is 75, and it can be judged whether the number (first number) of device nodes with a scheduling score greater than 75 is greater than or equal to the preset node number threshold, if the first number is greater than or equal to the preset node number threshold, then from the first In the second device node, select the number of deployment device nodes indicated by the file deployment instruction.

As an optional implementation manner, the file deployment device may also include:

An extracting module, configured to extract a first predetermined score other than the maximum preset score threshold according to the arrangement order of the multiple preset score thresholds from large to small if the first number is less than the preset node number threshold. Set score threshold;

A statistical module, configured to count the second number of third device nodes whose scheduling score is greater than the first preset score threshold in the deployment computer room;

The judging module 201 is further configured to judge whether the second number is greater than or equal to the preset node number threshold;

A selecting module, configured to select, from the third device nodes, a number of deployment device nodes indicated by the file deployment instruction if the second number is greater than or equal to the preset node number threshold.

As an optional implementation, assuming that the preset score thresholds are 75, 50, 25, and 0, if the first number is less than the preset node number threshold, 50 is determined as the first preset score threshold, and statistics are deployed in the computer room Scheduling the second number of device nodes (third device nodes) whose score is greater than 50, and judging whether the second number is greater than or equal to the preset node number threshold, if the second number is greater than or equal to the preset node number threshold, from the third device Among the nodes, select the number of deployment device nodes indicated by the file deployment instruction. If the second number is less than the preset node number threshold, count the third number of equipment nodes with a scheduling score greater than 25 in the deployment computer room, and determine whether the third number is greater than or equal to the preset number threshold, if the third number is greater than or equal to the preset If the quantity threshold is set, select the deployment device nodes of the number indicated by the file deployment instruction from the deployment computer room. If the third number is less than the preset number threshold, count the fourth number of equipment nodes with a scheduling score greater than 0 in the deployment computer room, and determine whether the fourth number is greater than or equal to the preset number threshold, if the fourth number is greater than or equal to the preset number threshold, select the number of deployment device nodes indicated by the file deployment instruction from the deployment computer room. Optionally, if the fourth quantity is less than the preset quantity threshold, a warning message is generated, and the warning message is sent to the user terminal.

As an optional implementation manner, the judging module 201 is further configured to determine whether the configuration file carries information indicating that a computer room disaster recovery is required if the number of the target computer rooms is less than a preset computer room number threshold;

The determination module 202 is further configured to determine the computer room with the largest available space capacity as the first computer room from all computer rooms except the target computer room if the configuration file carries the instruction information that needs to perform computer room disaster recovery;

The judging module 201 is further configured to judge whether the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room;

The deployment module 203 is further configured to deploy the target file to the device node of the target computer room through an internal network if the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, And backing up the target file to the device node of the first computer room through the external network.

In this optional implementation, if the number of target computer rooms is less than the preset number of computer rooms, it can be determined that disaster recovery of computer rooms has not been performed, and it is necessary to determine whether the configuration file contains information indicating that disaster recovery of computer rooms is required. Carrying the instruction information that disaster recovery needs to be carried out for the computer room, it is necessary to determine the computer room with the largest available space capacity as the first computer room from all the computer rooms except the target computer room. And select the computer room with the largest available space capacity from the target computer room and the first computer room as the deployment computer room, that is, if the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the target computer room through the internal network , and deploy a target file to the device node of the first computer room through the external network (computer room disaster recovery); or, if the space capacity of the target computer room is less than the available space capacity of the first computer room, through the external network, the target One copy of the file is deployed to the device node in the first computer room, and then the target file is copied to other device nodes in the first computer room through the internal network until the number of copies of the target file deployed meets the number indicated by the file deployment instruction.

As an optional implementation manner, the determining module 202 is further configured to, if there is no first device node storing the target file indicated by the file deployment instruction, according to the available space capacity of all computer rooms, select Determine the second computer room;

The deployment module 203 is further configured to deploy the target file to the second computer room.

In this optional implementation, if there is no first device node storing the target file indicated by the file deployment instruction, it is necessary to determine the available space capacity of all computer rooms, and maximize the available space capacity from all computer rooms The computer room is determined as the deployment computer room for file deployment. If the parameters in the configuration file indicate that disaster recovery is not required for the computer room, the target file can be deployed to the device node in the deployment computer room that meets the preset requirements.

Optionally, if the parameters in the configuration file indicate that computer room disaster recovery is required, it is also necessary to select the computer room with the largest available space capacity from all computer rooms except the deployment computer room, and use it as the disaster recovery computer room for file backup. In addition to deploying the target file to the device node meeting the preset requirements in the deployment computer room, it is also necessary to deploy a copy of the target file to the device node meeting the preset requirements in the disaster recovery computer room.

Optionally, if there is no device node meeting the preset requirements in the deployment computer room, or there is no device node meeting the preset requirements in the disaster recovery computer room, a warning message is generated and sent to the user terminal.

Wherein, the computer room disaster recovery refers to backing up files in another computer room, so as to prevent a computer room from losing files or stopping providing services for the files due to a failure in one computer room.

Wherein, the preset requirement may be that the number of device nodes whose scheduling scores are greater than the preset score threshold is greater than the preset node quantity threshold.

Wherein, the second computer room may include a deployment computer room and a disaster recovery computer room.

As an optional implementation manner, the file deployment device may also include:

The second obtaining module is used for obtaining the node information of each equipment node in the computer room at preset time intervals for each computer room;

The determining module 202 is further configured to determine multiple weight values of the device node according to the node information;

a calculation module, configured to calculate the scheduling score of the device node according to the plurality of weight values;

A storage module, configured to store the scheduling score.

Wherein, the node information may include: node status, available space capacity, node load, task quantity, node type, and the like.

Wherein, the node type may include: a server, an intelligent hardware device, and the like.

In this optional implementation, a time interval (preset time interval) can be preset, and the node information of all device nodes in each computer room can be obtained at every preset time interval, and then the device node can be determined according to the node information For the node status, when the node is online, the weight value is 1, when it is not online, the weight value is 0; for the available space capacity, when it is greater than 50T, the weight value is 5, when it is greater than 10T and less than or equal to 50T, The weight value is 4. When it is greater than 3T and less than or equal to 10T, the weight value is 3. When it is greater than 500G and less than or equal to 3T, the weight value is 2. When it is greater than 100G and less than or equal to 500G, the weight value is 1. When less than 100G , the weight value is 0; the node load can be the CPU (central processing unit, central processing unit) load, and the number of CPU cores used by the load. For the device node whose node type is server, when the load is less than 1, the weight value is 5, and the load When it is greater than or equal to 1 and less than 1/4 of the number of CPU cores, the weight value is 4; when the load is greater than or equal to 1/4 of the number of CPU cores and less than 1/2 of the number of CPU cores, the weight value is 3, and the load is greater than or When it is equal to 1/2 of the number of CPU cores and less than 3/4 of the number of CPU cores, the weight value is 2, and when the load is greater than or equal to 3/4 of the number of CPU cores, the weight value is 1. For a device node whose node type is an intelligent hardware device, when the load is less than 1, the weight value is 5; when the load is greater than or equal to 1 and less than 2, the weight value is 4; when the load is greater than or equal to 2 and less than 3, the weight value is 3. When the load is greater than or equal to 3 and less than 4, the weight value is 2, and when the load is greater than or equal to 4, the weight value is 1. The weight value can be determined according to the number of tasks being deployed. For a device node whose node type is a server, when the number of tasks is less than 2, the weight value is 5; when the number of tasks is greater than or equal to 2 and less than 4, the weight value is 4, and the number of tasks is greater than or equal to 4 and less than 6, the weight value is 3; when the number of tasks is greater than or equal to 6 and less than 8, the weight value is 2; when the number of tasks is greater than or equal to 8, the weight value is 1. For a device node whose node type is an intelligent hardware device, when the number of tasks is less than 1, the weight value is 5; when the number of tasks is greater than or equal to 1 and less than 2, the weight value is 4; when the number of tasks is greater than or equal to 2 and less than 3, the weight value The value is 3, when the number of tasks is greater than or equal to 3 and less than 4, the weight value is 2, and when the number of tasks is greater than or equal to 4, the weight value is 1. Wherein, the value of the weight value corresponding to different node information can be set according to specific situations. Finally, the weight value of the node state, the weight value of the available space capacity, the weight value of the node load and the weight value of the number of tasks are multiplied to obtain the scheduling score of the device node. The scheduling score of the device node can be stored in the server used to save the data. When node scheduling is required, the scheduling score can be directly read and a scheduling strategy can be made, which improves the scheduling efficiency.

In the file deployment device described in FIG. 2, when a file deployment instruction is received, it may be determined from among multiple device nodes included in all computer rooms whether there is a first device node that stores the target file indicated by the file deployment instruction ; If there is a first device node storing the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located; determine whether the number of the target computer rooms is greater than or equal to the preset computer room number threshold; if The number of the target computer rooms is greater than or equal to the preset number threshold, and according to the available space capacity of the target computer rooms, the deployment computer room is determined from the target computer rooms; and the target file is deployed to the deployment computer room through the internal network device node. It can be seen that files can be deployed to device nodes through the internal network, thereby not consuming external network bandwidth and reducing network overhead. Because the internal network is more stable and secure than the external network, the success rate of file deployment is also improved.

As shown in FIG. 3 , FIG. 3 is a schematic structural diagram of a server implementing a preferred embodiment of a file deployment method in the present invention. The server 3 includes a memory 31 , at least one processor 32 , a computer program 33 stored in the memory 31 and executable on the at least one processor 32 , and at least one communication bus 34 .

Those skilled in the art can understand that the schematic diagram shown in FIG. 3 is only an example of the server 3 and does not constitute a limitation to the server 3. It may include more or less components than those shown in the illustration, or combine some components, or different components, for example, the server 3 may also include input and output devices, network access devices, and the like.

The network where the server 3 is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN) and the like.

The at least one processor 32 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC ), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, transistor logic devices, discrete hardware components, etc. This processor 32 can be a microprocessor or this processor 32 also can be any conventional processor etc., described processor 32 is the control center of described server 3, utilizes various interfaces and lines to connect each of the whole server 3 part.

The memory 31 can be used to store the computer program 33 and/or module/unit, and the processor 32 runs or executes the computer program and/or module/unit stored in the memory 31, and calls the computer program stored in the memory 31 to realize various functions of the server 3. The memory 31 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created according to use of the server 3 (such as audio data, etc.) and the like are stored. In addition, the memory 31 may include non-volatile memory, such as hard disk, internal memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory card (Flash Card), At least one disk storage device, flash memory device, etc.

Referring to FIG. 1, the memory 31 in the server 3 stores multiple instructions to implement a file deployment method, and the processor 32 can execute the multiple instructions to implement:

When the file deployment instruction is received, it is judged from the plurality of device nodes included in all the computer rooms whether there is a first device node storing the target file indicated by the file deployment instruction;

If there is a first device node storing the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located;

judging whether the number of the target computer rooms is greater than or equal to a preset number threshold of computer rooms;

If the number of the target computer rooms is greater than or equal to the preset computer room quantity threshold, determine the deployment computer room from the target computer rooms according to the available space capacity of the target computer rooms;

Deploy the target file to the device node in the deployment computer room through the internal network.

In an optional implementation manner, after the deployment of the computer room is determined from the target computer room according to the available space capacity of the target computer room, the processor 32 may execute the multiple instructions to achieve:

Obtain the scheduling score of each device node in the deployment computer room;

Determining a deployment device node from the deployment computer room according to the scheduling score of each device node and a preset score threshold;

Deploying the target file to the device node in the deployment computer room through the internal network includes:

Copying the target file stored in the first device node of the deployment computer room to the deployment device node of the deployment computer room through an internal network.

In an optional implementation manner, there are multiple preset score thresholds, and the multiple preset score thresholds are sorted from large to small, and the scheduling score and preset score according to each device node Threshold, determining the deployment device node from the deployment computer room includes:

For a maximum preset score threshold among the plurality of preset score thresholds, counting a first number of second device nodes whose scheduling scores are greater than the maximum preset score threshold in the deployment computer room;

judging whether the first number is greater than or equal to a preset node number threshold;

If the first number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the second device nodes.

In an optional implementation manner, the processor 32 may execute the multiple instructions to implement:

If the first number is less than the preset node number threshold, according to the arrangement order of the preset score thresholds from large to small, extract a first preset score threshold other than the maximum preset score threshold;

Counting the second number of third device nodes whose scheduling score is greater than the first preset score threshold in the deployment computer room;

judging whether the second number is greater than or equal to the preset node number threshold;

If the second number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the third device nodes.

In an optional implementation manner, the processor 32 may execute the multiple instructions to achieve:

If the number of the target computer rooms is less than the preset number threshold of computer rooms, it is judged whether the configuration file carries indication information that needs to perform computer room disaster recovery;

If the configuration file carries the instruction information that requires computer room disaster recovery, from all the computer rooms except the target computer room, determine the computer room with the largest available space capacity as the first computer room;

judging whether the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room;

If the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the device node of the target computer room through the internal network, and deploy the target file through the external network The files are backed up to the device nodes in the first computer room.

In an optional implementation manner, the processor 32 may execute the multiple instructions to achieve:

If there is no first device node storing the target file indicated by the file deployment instruction, determine the second computer room from all computer rooms according to the available space capacity of all computer rooms;

Deploy the target file to the second computer room.

In an optional implementation manner, the processor 32 may execute the multiple instructions to achieve:

For each computer room, obtain node information of each device node in the computer room at preset time intervals;

determining multiple weight values of the device node according to the node information;

calculating a scheduling score of the device node according to the plurality of weight values;

The scheduling score is stored.

Specifically, for the specific implementation method of the above instruction by the processor 32, reference may be made to the description of the relevant steps in the embodiment corresponding to FIG. 1 , which will not be repeated here.

In the server 3 described in FIG. 3 , when the file deployment instruction is received, it may be determined whether there is a first device node storing the target file indicated by the file deployment instruction from a plurality of device nodes included in all computer rooms; If there is a first device node that stores the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located; determine whether the number of the target computer rooms is greater than or equal to a preset computer room number threshold; if the The number of the target computer rooms is greater than or equal to the preset computer room number threshold, and the deployment computer room is determined from the target computer room according to the available space capacity of the target computer room; and the target file is deployed to the deployment computer room through the internal network device node. It can be seen that files can be deployed to device nodes through the internal network, thereby not consuming external network bandwidth and reducing network overhead. Because the internal network is more stable and secure than the external network, the success rate of file deployment is also improved.

If the integrated modules/units of the server 3 are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) .

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may physically exist separately, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the invention is not limited to the details of the above-described exemplary embodiments, but that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Accordingly, the embodiments should be regarded in all points of view as exemplary and not restrictive, the scope of the invention being defined by the appended claims rather than the foregoing description, and it is therefore intended that the scope of the invention be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in the present invention. Any reference sign in a claim should not be construed as limiting the claim concerned. In addition, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or devices stated in the system claims may also be realized by one unit or device through software or hardware. Secondary terms are used to denote names without implying any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention without limitation, although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent replacements can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A file deployment method, characterized in that the method comprises: When the file deployment instruction is received, it is judged from the plurality of device nodes included in all the computer rooms whether there is a first device node storing the target file indicated by the file deployment instruction; If there is a first device node storing the target file indicated by the file deployment instruction, determine the target computer room where the first device node is located; judging whether the number of the target computer rooms is greater than or equal to a preset number threshold of computer rooms; If the number of the target computer rooms is greater than or equal to the preset computer room quantity threshold, determine the deployment computer room from the target computer rooms according to the available space capacity of the target computer rooms; Deploy the target file to the device node in the deployment computer room through the internal network. 2. The method according to claim 1, characterized in that, after determining the deployment computer room from the target computer room according to the available space capacity of the target computer room, the method further comprises: Obtain the scheduling score of each device node in the deployment computer room; Determining a deployment device node from the deployment computer room according to the scheduling score of each device node and a preset score threshold; Deploying the target file to the device node in the deployment computer room through the internal network includes: Copying the target file stored in the first device node of the deployment computer room to the deployment device node of the deployment computer room through an internal network. 3. The method according to claim 2, wherein there are multiple preset score thresholds, and multiple preset score thresholds are sorted from large to small, and the scheduling of each device node according to Scores and preset score thresholds. Determining deployment equipment nodes from the deployment computer room includes: For a maximum preset score threshold among the plurality of preset score thresholds, counting a first number of second device nodes whose scheduling scores are greater than the maximum preset score threshold in the deployment computer room; judging whether the first number is greater than or equal to a preset node number threshold; If the first number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the second device nodes. 4. method according to claim 3, is characterized in that, described method also comprises: If the first number is less than the preset node number threshold, a first preset score threshold other than the maximum preset score threshold is extracted according to the arrangement order of the multiple preset score thresholds from large to small; Counting the second number of third device nodes whose scheduling score is greater than the first preset score threshold in the deployment computer room; judging whether the second number is greater than or equal to the preset node number threshold; If the second number is greater than or equal to the preset node number threshold, select deployment device nodes of the number indicated by the file deployment instruction from the third device nodes. 5. The method according to any one of claims 1 to 4, characterized in that the method further comprises: If the number of the target computer rooms is less than the preset number threshold of computer rooms, it is judged whether the configuration file carries indication information that needs to perform computer room disaster recovery; If the configuration file carries the instruction information that requires computer room disaster recovery, from all the computer rooms except the target computer room, determine the computer room with the largest available space capacity as the first computer room; judging whether the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room; If the available space capacity of the target computer room is greater than or equal to the available space capacity of the first computer room, deploy the target file to the device node of the target computer room through the internal network, and deploy the target file through the external network The files are backed up to the device nodes in the first computer room. 6. The method according to any one of claims 1 to 4, wherein the method further comprises: If there is no first device node storing the target file indicated by the file deployment instruction, determine the second computer room from all computer rooms according to the available space capacity of all computer rooms; Deploy the target file to the second computer room. 7. The method according to any one of claims 1 to 4, wherein the method further comprises: For each computer room, obtain node information of each device node in the computer room at preset time intervals; determining multiple weight values of the device node according to the node information; calculating a scheduling score of the device node according to the plurality of weight values; The scheduling score is stored. 8. A file deployment device, characterized in that the file deployment device comprises: A judging module, configured to, when receiving a file deployment instruction, judge whether there is a first device node storing the target file indicated by the file deployment instruction from a plurality of device nodes included in all computer rooms; A determining module, configured to determine the target computer room where the first device node is located if there is a first device node storing the target file indicated by the file deployment instruction; The judging module is also used to judge whether the number of the target computer rooms is greater than or equal to the preset number threshold of computer rooms; The determining module is further configured to determine the deployment computer room from the target computer room according to the available space capacity of the target computer room if the number of the target computer room is greater than or equal to the preset computer room number threshold; The deployment module is configured to deploy the target file to the device nodes in the deployment computer room through the internal network. 9. A server, characterized in that the server comprises a processor and a memory, and the processor is configured to execute a computer program stored in the memory to implement the file deployment method according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, it realizes any one of claims 1 to 7. file deployment method.

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