CN110290399A - A data distribution method, system, device and computer-readable storage medium - Google Patents

Abstract

This application discloses a data distribution method, system, device, and computer-readable storage medium, which receive a data request sent by a client; judge whether the data request meets the preset heat requirement; The corresponding edge node resources are sent to the client, so that the client can obtain the corresponding data through the edge node resources. A video distribution method provided by this application enables the client to obtain the corresponding data through the nearest edge node resource, and the edge node resource is an independent idle resource, so the service pressure of the data distribution server can be reduced by using the edge node resource, and the The cost of data distribution, and can make full use of edge node resources to achieve effective use of resources. A data distribution system, device, and computer-readable storage medium provided by the present application also solve corresponding technical problems.

Description

A data distribution method, system, device and computer-readable storage medium

technical field

The present application relates to the technical field of information transmission, and more specifically, to a data distribution method, system, device, and computer-readable storage medium.

Background technique

With the development of the Internet, users' demand for live broadcast and on-demand video has grown exponentially, and there are stricter requirements for viewing experience. Then, how to ensure that users can obtain clear videos is a problem that needs to be solved.

An existing method for distributing video is: distributing video through a high-performance server.

However, as the amount of videos requested by users continues to increase, in order to meet the video requirements of users, a server with higher performance must be used to distribute videos, which will increase the cost of the video distribution method.

To sum up, how to reduce the cost of the video distribution method is an urgent problem to be solved by those skilled in the art.

Contents of the invention

The purpose of this application is to provide a data distribution method, which can solve the technical problem of how to reduce the cost of the video distribution method to a certain extent. The present application also provides a data distribution system, device and computer-readable storage medium.

In order to achieve the above purpose, this application provides a data distribution method, including:

Receive the data request sent by the client;

Judging whether the video request satisfies the preset popularity requirement, and if so, according to the nearest allocation principle, allocate the edge node resources corresponding to the data request to the client, so that the client can obtain corresponding data.

Preferably, the judging whether the data request satisfies the preset popularity includes:

Obtain the number of requests for the data request within a preset time period;

Judging whether the number of requests is greater than a preset quantity value, if yes, then judging that the data request meets the preset popularity requirement, and if not, judging that the data request does not meet the preset popularity requirement.

Preferably, said obtaining the number of requests for said data requests within a preset time period includes:

Multiple dimensions are set according to regions and operators, and the number of data requests in each statistical dimension within the preset time period is acquired.

Preferably, the allocation of edge node resources corresponding to the data request to the client according to the nearest allocation principle includes:

dividing the edge node resources into a preset number of edge node area resources based on the location information of the edge node resources;

Based on the positional relationship between the edge node area resource and the client, allocate the edge node area resource corresponding to the data request to the client according to the nearest allocation principle.

Preferably, the edge node resource is divided into a preset number of edge node area resources based on the location of the edge node resource, including:

Based on the location of the edge node resource, the edge node resource is divided into a first edge node area resource, a second edge node area resource, and a third edge node area resource, the first edge node area resource, the second edge node area resource The area ranges of the node area resources and the third edge node area resources both include the location of the client, and the area ranges increase sequentially;

The allocation of edge node area resources corresponding to the data request to the client according to the nearest allocation principle includes:

Allocate edge node area resources corresponding to the data request according to the principle of nearest allocation and in accordance with the sequence of allocation of the first edge node area resources, the second edge node area resources, and the third edge node area resources to the client.

Preferably, it also includes:

The edge node resources are counted according to a preset time interval.

Preferably, after allocating the edge node resource corresponding to the video request to the client, further includes:

Updating the data information of the edge node resources.

To achieve the above purpose, the present application further provides a data distribution system, including:

The first receiving module is configured to receive the data request sent by the client;

A first judging module, configured to judge whether the data request meets a preset heat requirement;

The first allocating module is used for allocating edge node resources corresponding to the data request to the client according to the nearest allocation principle when the first judging module determines that the data request satisfies the preset heat requirement, so that all The client obtains corresponding data through the edge node resource.

Preferably, the first judging module includes:

The first statistical unit is used to obtain the number of requests for the data requests within a preset time period;

A first judging unit, configured to judge whether the number of requests is greater than a preset quantity value, if so, judge that the data request meets the preset popularity requirement, and if not, judge that the data request does not meet the preset heat requirements.

Preferably, the first statistical unit includes:

The first obtaining unit is configured to obtain the number of requests for the data within the preset time period according to the three dimensions of provincial operators, district operators, and operators.

Preferably, the first allocation module includes:

The first division submodule is used to divide the edge node resources into a preset number of edge node area resources based on the location information of the edge node resources;

The second allocating submodule is configured to allocate the edge node area resource corresponding to the data request to the client according to the nearest allocation principle based on the positional relationship between the edge node area resource and the client.

Preferably, the first division submodule includes:

The first division unit is configured to divide the edge node resource into a first edge node area resource, a second edge node area resource, and a third edge node area resource based on the position of the edge node resource, the first edge node area The area ranges of the resource, the second edge node area resource, and the third edge node area resource all include the location of the client, and the area ranges increase sequentially;

The second distribution submodule includes:

The first allocating unit is configured to allocate the data related to the data according to the nearest allocation principle and according to the sequence of allocation of the first edge node area resources, the second edge node area resources, and the third edge node area resources. Requesting the corresponding edge node area resources to the client.

Preferably, it also includes:

The second statistical module is configured to collect statistics on the edge node resources according to a preset time interval.

Preferably, it also includes:

The first update module is configured to update the data information of the edge node resource after the first allocation module allocates the edge node resource corresponding to the video request to the client.

To achieve the above purpose, the present application further provides a data distribution device, the device includes a memory and a processor, the memory stores a data distribution program that can run on the processor, and the data distribution program is executed by the Any one of the above-mentioned methods is realized when the above-mentioned processor is executed.

Preferably, the device is a node forming a CDN network or a blockchain network.

In order to achieve the above purpose, the present application further provides a computer-readable storage medium, on which a data distribution program is stored, and the data distribution program can be executed by one or more processors to achieve the above-mentioned A data distribution method described above.

A data distribution method provided by this application receives a data request sent by a client; judges whether the data request meets the preset heat requirement, and if so, allocates the edge node resources corresponding to the data request to the client according to the principle of nearest allocation, so as to Make the client obtain the corresponding data through the edge node resources. In the data distribution method provided by this application, after receiving the data request sent by the client, it does not directly transmit the data to the client, but after judging that the data request meets the preset heat requirements, according to the principle of nearest distribution, the distribution and data Request the corresponding edge node resources to the client, so that the client can quickly obtain the corresponding data through the nearest edge node resources, and the edge node resources are independent idle resources, so the service pressure of the data distribution server can be reduced by using the edge node resources. The cost of data distribution, and can make full use of edge node resources to achieve effective use of resources. A data distribution system, device, and computer-readable storage medium provided by the present application also solve corresponding technical problems.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present application, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a schematic flow chart of the first embodiment of the present application;

Fig. 2 is a schematic flow chart of the second embodiment of the present application;

FIG. 3 is a schematic flow chart of a third embodiment of the present application;

FIG. 4 is a schematic structural diagram of a data distribution system disclosed in an embodiment of the present application;

FIG. 5 is a schematic diagram of the internal structure of a data distribution device disclosed in an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

It should be noted that the descriptions involving "first", "second", etc. in the present invention are only for descriptive purposes, and should not be understood as indicating or implying their relative importance or implicitly indicating the number of indicated technical features . Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In addition, the technical solutions of the various embodiments can be combined with each other, but it must be based on the realization of those skilled in the art. When the combination of technical solutions is contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist , nor within the scope of protection required by the present invention.

This application provides a data distribution method.

Please refer to FIG. 1 , which is a schematic flowchart of a first embodiment of the present application.

In a first embodiment, the method includes:

Step S101: Receive a data request sent by a client.

In practical applications, you can first receive the data request sent by the client. The type and quantity of the client can be determined according to the specific application scenario. The type of data request can also be determined according to the specific application scenario. For example, it can be video data when watching a live broadcast, etc. .

Step S102: Allocate edge node resources corresponding to the data request to the client, so that the client obtains corresponding data through the edge node resources.

In practical application, after receiving the data request, the edge node resource corresponding to the data request can be allocated to the client, so that the client can obtain the corresponding data through the edge node resource.

It should be pointed out that in this process, the edge node resources to be allocated can be determined first according to the received data request, and then the determined edge node resources to be allocated can be allocated to the client. In this process, the edge node resources to be allocated can also be controlled The edge node resource obtains the data corresponding to the data request, so that the client can obtain the corresponding data through the edge node resource. In addition, the edge node involved in this application is a concept proposed relative to the complex structure of the network. It refers to a network node with fewer intermediate links from the end user access, and has better responsiveness and responsiveness to the end user access. Connection speed; the type of edge node can be determined according to actual needs, for example, it can be a high-performance, large-bandwidth computer room server, an ordinary private server, or a private user machine that can provide resources such as bandwidth and CPU, such as mobile phones, PCs, boxes, etc. ; The type of edge node resources can also be determined according to actual needs, for example, it can be CPU resources, memory load, uplink bandwidth, downlink bandwidth, and so on.

A data distribution method provided by the present application includes receiving a data request sent by a client; allocating edge node resources corresponding to the data request to the client, so that the client can obtain corresponding data through the edge node resource. A data distribution method provided by this application does not directly transmit data to the client after receiving the data request sent by the client, but allocates edge node resources corresponding to the data request to the client, so that the client passes the edge node Resources obtain corresponding data, and edge node resources are independent idle resources, so edge node resources can be used to reduce the service pressure of the data distribution server, reduce the cost of data distribution, and make full use of edge node resources to achieve effective use of resources.

Please refer to FIG. 2 , which is a schematic flowchart of a second embodiment of the present application.

In a second embodiment, the method includes:

Step S201: Receive a data request sent by a client.

Step S202: Determine whether the data request satisfies the preset heat requirement, and if so, execute step S203.

Step S203: Allocate edge node resources corresponding to the data request to the client, so that the client obtains corresponding data through the edge node resources.

In practical applications, in order to further reduce the cost of data distribution, when allocating edge node resources to clients, you can first judge whether the data request meets the preset heat requirements, and then allocate the edge node resources corresponding to the data request to the client. In order to enable the client to obtain the corresponding data through the edge node resources. The preset temperature requirement can be determined according to the specific application scenario. It should be noted that whether to respond to the data request sent by the client can be determined through the preset temperature requirement.

In a specific application scenario, when the data distribution server judges whether the data request meets the preset popularity information, it can obtain the request letter for the data request within the preset time period, and judge whether the request letter is greater than the preset quantity value, and if so, determine that the data request satisfies the The preset heat requirement, if not, it is determined that the data request does not meet the preset heat requirement. That is, when the number of data requests received by the data distribution server is less than the preset value, if the data distribution server allocates edge node resources to clients at this time, it may cause waste of edge node resources and increase costs, so data distribution The server may allocate edge node resources corresponding to the data request to the client only when the request letter of the data request is greater than a preset quantity.

In a specific application scenario, when obtaining the number of requests for data requests within a preset time period, multiple statistical dimensions can be set according to regions and operators to obtain the number of requests for data requests in each statistical dimension within a preset time period, for example, according to The three dimensions of provincial operators, district operators, and operators obtain the number of data requests made by operators at all levels within a preset time period. For example, to obtain the number of requests for data requests under the provincial operator within the preset time period, and correspondingly, determine whether the number of requests is greater than the preset number under the provincial operator. Edge node resources to the client; obtain the number of requests for data requests under the zone operator within the preset time period, and accordingly, determine whether the number of requests is greater than the preset number under the zone operator, and if so, follow the principle of nearest allocation, Allocate edge node resources under the operator in the area to the client; obtain the number of requests for data requests under the operator within the preset time period, and accordingly, determine whether the number of requests is greater than the number under the preset operator, and if so, follow the Based on the principle of nearest allocation, edge node resources under the operator are allocated to clients, etc.

In a specific application scenario, when the data distribution server judges whether the data request meets the preset heat requirements, it can calculate the amount of resources required by the client based on the data request; judge whether the amount of resources is equal to the total amount of resources of the corresponding number of edge devices, if so, Then it is determined that the data request meets the preset heat requirement, and if not, it is determined that the data request does not meet the preset heat requirement. That is to say, the data distribution server can first calculate the amount of resources required by the client based on the data request, and then judge whether the amount of resources is equal to the total amount of resources of the corresponding number of edge devices, that is, the data distribution server can judge whether the amount of resources required by the data request is sufficient Just use up the total resources of the corresponding number of edge devices, and if so, allocate the edge node resources corresponding to the data request to the client. For example, you can directly allocate the resources of the corresponding number of edge devices to the client, so that the client can Use edge node resources without wasting edge node resources.

A data distribution method provided by this application receives a data request sent by a client; judges whether the data request meets the preset heat requirement, and if so, allocates the edge node resources corresponding to the data request to the client according to the principle of nearest allocation, so as to Make the client obtain the corresponding data through the edge node resources. In the data distribution method provided by this application, after receiving the data request sent by the client, it does not directly transmit the data to the client, but after judging that the data request meets the preset heat requirements, according to the principle of nearest distribution, the distribution and data Request the corresponding edge node resources to the client, so that the client can quickly obtain the corresponding data through the nearest edge node resources, and the edge node resources are independent idle resources, so the service pressure of the data distribution server can be reduced by using the edge node resources. The cost of data distribution, and can make full use of edge node resources to achieve effective use of resources.

Please refer to FIG. 3 , which is a schematic flowchart of a third embodiment of the present application.

In a third embodiment, the method includes:

Step S301: Receive a data request sent by a client.

Step S302: According to the nearest allocation principle, allocate the edge node resource corresponding to the data request to the client, so that the client can obtain corresponding data through the edge node resource.

In practical applications, in order for the client to obtain data as soon as possible and ensure the user experience of the client, when the data distribution server allocates the edge node resources corresponding to the data request to the client, it can allocate the edge node resources corresponding to the data request according to the principle of nearest allocation. Node resource to client.

In a specific application scenario, the edge node resources managed by the data distribution server may be diverse and located in different locations. In this case, in order to facilitate the management of edge node resources and facilitate the allocation of edge node resources, the data When the distribution server allocates the edge node resources corresponding to the data request to the client according to the nearest allocation principle, it can divide the edge node resources managed by the data distribution server into a preset number of edge node area resources based on the location information of the edge node resources ; Based on the positional relationship between the resources in the edge node area and the client, according to the nearest allocation principle, allocate the edge node area resources corresponding to the data request to the client.

It can be understood that the number of edge node area resources can be flexibly determined according to specific application scenarios. For example, when the data distribution server divides the edge node resources managed by the data distribution server into a preset number of edge node area resources based on the location of the edge node resources , based on the location of the edge node resources, the edge node resources managed by the data distribution server can be divided into the first edge node area resource, the second edge node area resource, the third edge node area resource, the first edge node area resource, the second edge node area resource The area ranges of the edge node area resources and the third edge node area resources include the location of the client, and the area ranges increase sequentially; correspondingly, when allocating the edge node area resources corresponding to the data request to the client according to the principle of nearest allocation , according to the nearest allocation principle, and according to the order of allocation of the first edge node area resources, the second edge node area resources, and the third edge node area resources, allocate the edge node area resources corresponding to the data request to the client. That is to say, when the data distribution server allocates edge node resources to the client, it can first allocate the resources of the first edge node area to the client, and then allocate the resources of the second edge node area when the resources of the first edge node area do not meet the needs of the client For the client, when the resources of the second edge node area do not meet the requirements of the client, the resources of the third edge node area are allocated to the client. In practical applications, the resources in the first edge node area may be provincial operator resources, the second edge node area resources may be area operator resources, and the third edge node area resources may be entire operator resources. For ease of understanding, Guangdong Province is taken as an example here to explain provincial operators, district operators, and operators. Operators in Guangdong Province can be used as provincial operators, while operators in Guangdong Province and Guangxi, which only rely on Guangdong Province, An operator can act as a regional operator, and all operators in China can act as an entire operator.

In the first, second and third embodiments, the data distribution server needs to have an intuitive understanding of the information of the edge node resources it manages, such as the usage and availability of edge node resources, so the application provides a In the data distribution method, the data distribution server can also count the edge node resources of the edge devices managed by the data distribution server according to a preset time interval, and of course can also count the edge node resources of the edge devices managed by the data distribution server from time to time. Correspondingly, in order to further enhance the management of edge node resources by the data distribution server, after the data distribution server allocates the edge node resources corresponding to the data request to the client, it can also update the data information of the edge node resources managed by the data distribution server.

In another aspect, the present application provides a data distribution system.

Please refer to FIG. 4 , which is a schematic structural diagram of a data distribution system disclosed in an embodiment of the present application.

A data distribution system provided by this application may include:

The first receiving module 401 is configured to receive the data request sent by the client;

A first judging module 402, configured to judge whether the data request meets a preset heat requirement;

The first allocation module 403 is used for the first judgment module to allocate the edge node resources corresponding to the data request to the client according to the principle of nearest allocation when the first judgment module determines that the data request meets the preset heat requirement, so that the client can obtain the corresponding edge node resources through the edge node resources. data.

Data Data Data Data Data Data In a data distribution system provided by this application, the first judgment module may include:

The first statistical unit is used to obtain the number of requests for the data requests within a preset time period;

The first judging unit is used for judging whether the number of requests is greater than a preset quantity value, if yes, then judging that the data request meets the preset popularity requirement, and if not, then judging that the data request does not meet the preset popularity requirement.

In a data distribution system provided by the present application, the first statistical unit may include:

The first acquisition unit is configured to set multiple statistical dimensions according to regions and operators, and acquire the number of data requests in each statistical dimension within a preset time period.

Data Data Data In a data distribution system provided by this application, the first distribution module may include:

The first division submodule is used to divide the edge node resources into a preset number of edge node area resources based on the location information of the edge node resources;

The second allocation sub-module is configured to allocate the edge node area resources corresponding to the data request to the client according to the nearest allocation principle based on the location relationship between the edge node area resources and the client.

In a data distribution system provided by the present application, the first division sub-module may include:

The first dividing unit is configured to divide edge node resources into first edge node area resources, second edge node area resources, and third edge node area resources based on the positions of edge node resources, first edge node area resources, second edge node area resources, and second edge node area resources. The area ranges of the edge node area resources and the third edge node area resources both include the location of the client, and the area ranges increase sequentially;

The second distribution sub-module includes:

The first allocation unit is configured to allocate the edge node area resources corresponding to the data request to the nearest allocation principle and according to the order of allocation of the first edge node area resources, the second edge node area resources, and the third edge node area resources. client.

A data distribution system provided by this application may also include:

The second statistical module is configured to collect statistics on edge node resources according to a preset time interval.

A data distribution system provided by this application may also include:

The first update module is configured to update the data information of the edge node resource after the first allocation module allocates the edge node resource corresponding to the data request to the client.

In another aspect, the present application provides a data distribution device.

Referring to FIG. 5 , FIG. 5 is a schematic diagram of an internal structure of a data distribution device disclosed in an embodiment of the present application.

In this embodiment, the data distribution device 1 may be a PC (Personal Computer, personal computer), or may be a smart phone, a tablet computer, a palmtop computer, a portable computer, an intelligent router, a mining machine, or a network storage terminal device.

The data distribution device 1 may be a node forming a CDN network or a blockchain network.

The data distribution device 1 may include a memory 11 , a processor 12 and a bus 13 .

Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (eg, SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may be an internal storage unit of the data distribution device 1 in some embodiments, such as a hard disk of the data distribution device 1 . The memory 11 can also be an external storage device of the data distribution device 1 in other embodiments, such as a plug-in hard disk equipped on the data distribution device 1, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the storage 11 may also include both an internal storage unit of the data distribution apparatus 1 and an external storage device. The memory 11 can not only be used to store application software and various data installed in the data distribution device 1, such as the code of the data distribution program 01, but also can be used to temporarily store outputted or to-be-outputted data.

In some embodiments, the processor 12 may be a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, or other data processing chips for running program codes or processing stored in the memory 11. Data, such as executing data distribution program 01, etc.

The bus 13 may be a peripheral component interconnect standard (PCI for short) bus or an extended industry standard architecture (EISA for short) bus or the like. The bus can be divided into address bus, data bus, control bus and so on. For ease of representation, only one thick line is used in FIG. 5 , but it does not mean that there is only one bus or one type of bus.

Further, the data distributing device can also include a network interface 14, which can optionally include a wired interface and/or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is usually used for communicating between the device 1 and other electronic devices. A communication connection is established between the devices.

Optionally, the data distribution apparatus 1 may further include a user interface, which may include a display (Display), an input unit such as a keyboard (Keyboard), and optional user interfaces may also include standard wired interfaces and wireless interfaces. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, Organic Light-Emitting Diode) touch panel, and the like. Wherein, the display may also be appropriately referred to as a display screen or a display unit, and is used for displaying information processed in the data distribution device 1 and for displaying a visualized user interface.

FIG. 5 only shows the data distribution device 1 with components 11-14 and the data distribution program 01. Those skilled in the art can understand that the structure shown in FIG. 5 does not constitute a limitation on the data distribution device 1, and may include Fewer or more components than shown, or combinations of certain components, or different arrangements of components.

The present application provides a computer-readable storage medium, in which a data distribution program is stored on the computer-readable storage medium, and the data distribution program can be executed by one or more processors, so as to implement the data distribution method described in any one of the above embodiments.

The computer-readable storage medium referred to herein includes random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, Or any other form of storage medium known in the technical field.

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product.

The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions according to the embodiments of the present invention will be generated in whole or in part. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website, computer, server, or data center Transmission to another website site, computer, server, or data center by wired (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be stored by a computer, or a data storage device such as a server or a data center integrated with one or more available media. The available medium may be a magnetic medium (for example, a floppy disk, a hard disk, or a magnetic tape), an optical medium (for example, DVD), or a semiconductor medium (for example, a Solid State Disk (SSD)).

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units 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 units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, 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 software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and other media that can store program codes.

It should be noted that the serial numbers of the above embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments. And herein the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, apparatus, article or method comprising a set of elements includes not only those elements, but also includes the elements not expressly included. other elements listed, or also include elements inherent in the process, apparatus, article, or method. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional same elements in the process, apparatus, article or method comprising the element.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (11)

1. a kind of data distributing method characterized by comprising

Receive the request of data that client is sent；

Judge whether the request of data meets preset heat requirement, if so, according to nearest distribution principle, distribution and the number According to the corresponding edge node resources of request to the client, so that the client passes through the edge node resources and obtains phase Answer data.

2. judging whether the request of data meets preset heat the method according to claim 1, wherein described It is required that, comprising:

Obtain the number of request of the request of data in preset time period；

Judge whether the number of request is greater than present count magnitude, if so, determining that the request of data meets the preset heat It is required that if it is not, then determining that the request of data is unsatisfactory for the preset heat requirement.

3. according to the method described in claim 2, it is characterized in that, described obtain the request of data in preset time period and ask Ask several, comprising:

Multiple statistical dimensions are set according to region and operator, obtain in the preset time period number in each statistical dimension According to the number of request of request.

4. method according to any one of claims 1 to 3, which is characterized in that it is described according to nearest distribution principle, distribution with The corresponding edge node resources of the request of data are to the client, comprising:

Location information based on edge node resources provides the fringe node area that the edge node resources are divided into preset quantity Source；

Based on the positional relationship of the fringe node area resource and the client, according to nearest distribution principle, distribution with it is described The corresponding fringe node area resource of request of data is to the client.

5. according to the method described in claim 4, it is characterized in that, the position based on edge node resources, by the side Edge node resource is divided into the fringe node area resource of preset quantity, comprising:

The edge node resources are divided into first edge node area resource, the second side by the position based on edge node resources Edge node area resource, third fringe node area resource, the first edge node area resource, the second edge node area resource And the regional scope of the third fringe node area resource includes the position of the client, and regional scope is sequentially increased；

It is described to distribute fringe node area resource corresponding with the request of data to the client according to nearest distribution principle, Include:

According to nearest distribution principle, and according to the first edge node area resource, the second edge node area resource, described The successive allocation order of third fringe node area resource distributes corresponding with request of data fringe node area resource to described Client.

6. according to the method described in claim 4, it is characterized by further comprising:

The edge node resources are counted according to prefixed time interval.

7. the method according to claim 1, wherein distribution fringe node corresponding with the request of data After resource to the client, further includes:

Update the data information of the edge node resources.

8. a kind of data distribution systems characterized by comprising

First receiving module, for receiving the request of data of client transmission；

First judgment module, for judging whether the request of data meets preset heat requirement；

First distribution module, when determining that the request of data meets preset heat requirement for first judgment module, according to Nearest distribution principle distributes edge node resources corresponding with the request of data to the client, so that the client Corresponding data is obtained by the edge node resources.

9. a kind of data delivery device, which is characterized in that described device includes memory and processor, is stored on the memory There is the data distribution program that can be run on the processor, is realized such as when the data distribution program is executed by the processor The described in any item methods of claim 1 to 7.

10. device according to claim 9, which is characterized in that described device is composition CDN network or block chain network Node.

11. a kind of computer readable storage medium, which is characterized in that be stored with data point on the computer readable storage medium Program is sent out, the data distribution program can be executed by one or more processor, to realize as any in claim 1 to 7 Data distributing method described in.