CN117221949A - 5G flow diversion method and device based on edge calculation and electronic equipment - Google Patents

Abstract

The application provides a 5G flow diversion method and device based on edge calculation and electronic equipment. By disposing the local edge gateway between the base station and the core network and configuring the distribution rule, the uplink flow data of part of terminal equipment can be directly transferred to the local network through the local edge gateway without bypassing the 5G core network and the Internet network of the operator, thereby providing user experience of ultra-low time delay and ultra-high bandwidth for the local network, effectively reducing the load of the core network of the operator and reducing the 5G network congestion of the operator. Therefore, by adopting the scheme of the embodiment of the application, the problem of poor user experience caused by high time delay and bandwidth bottleneck of the current 5G network can be solved.

Description

5G flow diversion method and device based on edge calculation and electronic equipment

Technical Field

The application relates to a 5G flow diversion method and device based on edge calculation and electronic equipment, and belongs to the technical field of 5G communication.

Background

As 5G mobile communication technology matures, mobile communication is shifted from the original constructor-person connection to person-to-object connection to object-to-object connection. Compared with 3G/4G, the 5G communication technology has the advantages of higher communication speed, wider network spectrum, more flexible communication, stronger and larger mobile phone functions, higher intelligence, smoother compatibility, more communication value-added services, higher communication quality, higher frequency band use efficiency, more preferential communication charge and the like.

However, as services such as AR/VR, internet of things, industrial automation, unmanned driving, etc. are introduced in large quantities, network demands of high bandwidth, low latency, and large coupling are also brought. The high latency and bandwidth bottleneck of the current 5G network cause the problem of poor user experience.

Disclosure of Invention

The application provides a 5G flow distribution method, a device and electronic equipment based on edge calculation, which are used for solving the problem of poor user experience caused by high time delay and bandwidth bottleneck of the current 5G network.

In a first aspect, an embodiment of the present application provides a 5G traffic splitting method based on edge computation, which is applied to a local edge gateway, where the local edge gateway is disposed between a base station and a core network, and the method includes:

acquiring uplink flow data uploaded by the terminal equipment through the base station;

judging whether the uplink flow data meets a splitting condition or not based on a preset splitting rule;

if the uplink flow data meets the splitting condition, splitting the uplink flow data to a local network; and if the uplink flow data does not meet the split flow condition, uploading the uplink flow data to the core network.

Based on the above method, optionally, the determining, based on a preset splitting rule, whether the uplink traffic data meets a splitting condition includes:

determining a target address and a target port number of the uplink traffic data;

judging whether the target address is positioned in a preset address set or not and judging whether the target port number is positioned in a preset port number set or not;

if the target address is located in the address set or the target port number is located in the port number set, determining that the uplink traffic data does not meet the splitting condition, otherwise, determining that the uplink traffic data meets the splitting condition.

Based on the above method, optionally, the determining the destination address and the destination port number of the upstream traffic data includes:

and unpacking the uplink flow data, and acquiring a target address and a target port number from the unpacked data.

Based on the above method, optionally, further comprising:

if the state of the base station is abnormal, switching to an abnormal protection mode, and allowing data to pass through between the base station and the core network.

Based on the above method, optionally, the local edge gateway includes a bypass network card, the local edge gateway sends a verification message to the bypass network card at regular time based on a preset verification program, the bypass network card starts timing each time the verification message is received, and if the verification message is not received again after exceeding a preset time, the local edge gateway determines that the state of the local edge gateway is abnormal; or if the verification program is detected to be hung up, determining that the self state is abnormal.

Based on the above method, optionally, further comprising:

and acquiring downlink flow data sent by the local network or the core network, and forwarding the downlink flow data to corresponding terminal equipment through the base station.

In a second aspect, an embodiment of the present application further provides a 5G traffic splitting device based on edge computation, which is applied to a local edge gateway, where the local edge gateway is disposed between a base station and a core network, and the device includes:

the acquisition module is used for acquiring uplink flow data uploaded by the terminal equipment through the base station;

the processing module is used for judging whether the uplink flow data meet the splitting condition or not based on a preset splitting rule;

the distribution module is used for distributing the uplink flow data to a local network if the uplink flow data meets the distribution condition; and if the uplink flow data does not meet the split flow condition, uploading the uplink flow data to the core network.

In a third aspect, an embodiment of the present application further provides an electronic device, where the electronic device includes a memory and a processor, where the memory stores a computer program, and where the processor, when calling and executing the computer program, implements the edge calculation-based 5G traffic splitting method according to any one of the first aspect.

According to the edge calculation-based 5G flow distribution method, the edge calculation-based 5G flow distribution device and the electronic equipment, the local edge gateway is deployed between the base station and the core network, and the distribution rule is configured, so that uplink flow data of part of terminal equipment can be directly transferred to the local network through the local edge gateway, and the local network does not need to bypass to pass through the 5G core network and the Internet network of an operator, so that user experience of ultra-low time delay and ultra-high bandwidth of the local network can be provided, the load of the core network of the operator can be effectively reduced, and 5G network congestion of the operator is reduced. Therefore, by adopting the scheme of the embodiment of the application, the problem of poor user experience caused by high time delay and bandwidth bottleneck of the current 5G network can be solved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. Furthermore, these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.

Fig. 1 is a diagram of a 5G communication system according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a 5G flow splitting method based on edge calculation according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an intelligent plant network architecture according to one embodiment of the present application;

FIG. 4 is a schematic diagram of a driving school road test application network architecture according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a 5G flow splitting device based on edge calculation according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the embodiments of the present application will be clearly and completely described in the following in conjunction with the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. The following embodiments and features of the embodiments may be combined with each other without conflict.

As 5G mobile communication technology matures, mobile communication is shifted from the original constructor-person connection to person-to-object connection to object-to-object connection. Compared with 3G/4G, the 5G communication technology has the advantages of higher communication speed, wider network spectrum, more flexible communication, stronger and larger mobile phone functions, higher intelligence, smoother compatibility, more communication value-added services, higher communication quality, higher frequency band use efficiency, more preferential communication charge and the like.

However, as services such as AR/VR, internet of things, industrial automation, unmanned, etc. are introduced in large quantities, there is also a network demand for high bandwidth, low latency, and large connectivity, which is a 5G three-major scenario defined by 3GPP (Third Generation Partnership Project ). The requirements of new services on bandwidth, time delay, safety and the like are more and more severe, the centralized deployment mode of traditional cloud computing cannot meet the service requirements, particularly the popularization of high-definition videos and VR, the network experiment requirements are more severe, and the service requirements are 1ms end-to-end experimental service targets so as to support the requirements of the services such as Internet of vehicles, industrial control and the like. The high latency and bandwidth bottleneck of the current 5G network cause the problem of poor user experience.

Aiming at the problems, the application provides a 5G flow distribution scheme based on edge calculation, by arranging a local edge gateway between a base station and a core network and configuring distribution rules, uplink flow data of part of terminal equipment can be directly transferred to the local network through the local edge gateway without bypassing a 5G core network and an Internet network of an operator, so that user experience of ultra-low time delay and ultra-high bandwidth of the local network is provided, the load of the core network of the operator can be effectively reduced, and 5G network congestion of the operator is reduced. The specific implementations are described below without limitation by way of several examples or embodiments.

Referring first to fig. 1, fig. 1 is a schematic diagram of a 5G communication system according to an embodiment of the present application. As shown in fig. 1, the 5G communication system in this embodiment includes a terminal device, a base station, a local edge gateway, a local network, a 5G core network (hereinafter referred to as core network), and a public Internet (hereinafter referred to as public network, i.e., internet network).

Wherein the terminal device refers to customer premise equipment (Customer Premises Equipment, CPE) including, but not limited to, smartphones, tablet computers, routers, modems, etc. The terminal device may generate upstream traffic data for transmission to a particular network or device and may receive downstream traffic data for transmission by other devices.

The base station may provide wireless communication services to the terminal device as a communication relay station with other devices or networks.

A local edge gateway (Local Edge Gateway, leGW) is deployed between the base station and the core network for connecting the local terminal device with the local network and the public internet. Unlike the conventional edge gateway, the LeGW is deployed locally to the user, so that the LeGW has higher security and controllability and is more convenient to deploy. The LeGW may integrate various communication protocols and data processing capabilities and may transmit traffic data sent by the local terminal device to the local network or the public network.

The LeGW has no requirement on a base station and a core network which are in butt joint with the LeGW, can be connected between the base station and the core network of any manufacturer in series, and the base station and the core network do not need to modify configuration, do not have special requirements on existing applications/services, do not influence the performance of the existing applications/services at all, and can be deployed to the local rapidly and seamlessly without any transplanting or customization on the existing applications/services to be developed. That is, the terminal, the base station and the core network which meet the existing 3GPP standard are not affected, so that the KPIs (key performance indicators) of the existing network are not affected, and the network bandwidth utilization rate is improved.

Based on the above system, some embodiments of the present application provide a 5G traffic splitting method based on edge computation, referring to fig. 2, fig. 2 is a flow chart of the 5G traffic splitting method based on edge computation according to one embodiment of the present application, where the method is applied to a local edge gateway LeGW. In the implementation, the local edge gateway is actually a server deployed locally, and on the basis, the scheme of the embodiment may be software or a program configured into the server. That is, the scheme of the present embodiment may be implemented by software or a program in a server.

As shown in fig. 2, the edge calculation-based 5G flow splitting method of the present embodiment includes the following steps:

step S101: and acquiring uplink flow data uploaded by the terminal equipment through the base station.

Specifically, after a user performs a specific operation on the terminal device, or after the terminal device completes a specific operation according to a set program, uplink traffic data will be generated. The uplink traffic data refers to traffic data sent to the network by the terminal device, and may be, for example: video data to be uploaded to a local network for storage, a query instruction requesting to query a video, a registration request registering own device information to a core network, and the like.

In general terms, the upstream traffic data includes user plane messages and control plane messages. The user plane message refers to a message for transmitting user data in a mobile communication network, such as actual voice, video, short message, data, etc. These messages typically do not require complex processing and only require simple routing in the network to reach the destination. Thus, the user plane messages are typically sent to the home network for processing and storage.

The control plane message is a message for controlling various functions in the mobile communication network, such as setting up/releasing a data connection, session management, mobility management, security authentication, location update, etc. These messages need to be subjected to complex processing and analysis in order to implement various network functions. Thus, control plane messages typically need to be sent to the core network for processing and storage.

In general, user plane messages and control plane messages play different roles in a mobile communication network, the user plane messages being used for transmitting user data, and the control plane messages being used for controlling various functions of the network.

Based on this, after the terminal device sends the upstream traffic data to the base station, the local edge gateway can obtain the data from the base station to subsequently determine which network to send to.

Step S102: and judging whether the uplink flow data meets the splitting condition or not based on a preset splitting rule.

Specifically, the purpose of the scheme of the embodiment is to directly transfer part of uplink traffic data to the local network through the local edge gateway, so that the bypass is not required to pass through the core network and the Internet network of the operator, namely, the shunting function is realized, thereby reducing the time delay and simultaneously reducing the occupation of the bandwidth of the core network. In order to achieve this, it is necessary to set a splitting rule, that is, to set in advance which condition the upstream traffic data can be split. Based on the splitting rule, the local edge gateway obtains uplink flow data, and can perform edge calculation to determine whether the splitting condition is satisfied.

In some embodiments, the splitting rule is set based on a destination address and a destination port number of the upstream traffic data. The address refers to a network protocol (Internet Protocol, IP) address, which is a digitally encoded identifier used to uniquely identify devices and nodes in a computer network, the destination address, i.e., the IP address to which data is ultimately sent. The port number (port) is a number or character string identifying the process of the application or service and is used to uniquely identify the communication port of the application or service on the device, the port number of the destination, i.e. the process of the application to which the data is ultimately destined. That is, in this embodiment, the branching rule may be set according to the destination of the upstream traffic data.

Accordingly, step S102 may specifically include:

step S1021: and determining the destination address and the destination port number of the uplink traffic data.

In some embodiments, step S1021 may specifically include: and carrying out unpacking treatment on the uplink flow data, and acquiring a target address and a target port number from the unpacking data. Specifically, the uplink traffic data is actually an encapsulated data packet, based on which the local edge gateway can unpack the uplink traffic data after acquiring the uplink traffic data, and the unpacked data can be directly read to obtain an address and a port number. In practice, the address and the port number are generally located at the packet header of the data packet, so that the packet header only needs to be unpacked during unpacking processing, and core data does not need to be processed, thereby ensuring the data security and accuracy.

Step S1022: judging whether the target address is in a preset address set or not and judging whether the target port number is in a preset port number set or not.

In this embodiment, the preset address set and the port number set are both generated in advance and stored in the server of the local edge gateway. In addition, the address set stores all network addresses that must be processed through the core network, and the port number set stores all port numbers of applications running on the core network or the public network. Based on this, whether the uplink traffic data needs to be sent to the core network can be determined by determining whether the target address is located in the preset address set and whether the target port number is located in the preset port number set.

Step S1023: if the target address is in the address set or the target port number is in the port number set, determining that the uplink traffic data does not meet the splitting condition, otherwise, determining that the uplink traffic data meets the splitting condition.

Specifically, if the target address is located in the address set, or if the target port number is located in the port number set, the corresponding uplink traffic data must be sent to the core network for subsequent processing, so that it is determined that the uplink traffic data does not meet the splitting condition and needs to be directly sent to the core network, otherwise, it can be determined that the corresponding uplink traffic data does not need to be sent to the core network for subsequent processing, it is determined that the uplink traffic data meets the splitting condition and can be directly split to the corresponding local network, so that the bandwidth occupation of the core network is reduced, the forwarding time of the uplink traffic data is shortened, and the time delay is reduced.

It will be appreciated that in other embodiments, the splitting rule may be set according to other parameters, which is not limited by the present application. For example, in other embodiments, the splitting rules may also be set according to tunnel endpoint identification (Tunnel Endpoint Identifier, TEID). The TEID is an identifier used to identify different user plane tunnels (GTP-U tunnels) in an LTE (Long Term Evolution ) network, in which all user data is transmitted through the GTP-U tunnels, and the TEID is used as an identifier of the tunnel to distinguish between different tunnels, so as to ensure that the user data can be correctly transmitted. Based on this, the diversion rules may be set according to TEIDs, i.e. which TEIDs the traffic data passing by may or may not be diverted.

It will be appreciated that in other embodiments, all network addresses that do not need to be processed via the core network may be stored in the address set, and all port numbers of applications running on the local network may be stored in the port number set. Based on the above, if the target address is located in the address set or the target port number is located in the port number set, it is determined that the upstream traffic data meets the split-flow condition, otherwise, it is determined that the upstream traffic data does not meet the split-flow condition.

Step S103: and if the uplink flow data meets the splitting condition, splitting the uplink flow data to a local network.

Specifically, for uplink traffic data meeting the splitting condition, the local edge gateway can directly repackage the unpacked data and forward the unpacked data to the local network in a splitting way, and the unpacked data does not bypass the core network and the Internet network, so that the time delay of the user side is reduced, and the load of the core network of an operator is reduced.

Step S104: if the uplink flow data does not meet the distribution condition, the uplink flow data is uploaded to the core network.

Specifically, for the uplink traffic data which does not meet the splitting condition, the local edge gateway does not split, and the repackaged uplink traffic data still flows to the operator core network and the Internet network, so that the normal forwarding of the traffic data is ensured.

In some embodiments, the method may further include: and acquiring downlink flow data sent by the local network or the core network, and forwarding the downlink flow data to corresponding terminal equipment through the base station.

Specifically, the downstream traffic data corresponds to the upstream traffic data, and refers to traffic data sent by the network to the terminal device. In this embodiment, after the local edge gateway obtains the downlink traffic data sent by the local network or the core network, the local edge gateway may perform unpacking processing to determine to which terminal device the downlink traffic data needs to be sent, and send the data packet after being packaged to the designated terminal device without changing the content in the data packet.

Therefore, based on the schemes of the embodiments, by disposing the local edge gateway between the base station and the core network and configuring the splitting rule, the uplink traffic data of part of the terminal devices can be directly switched to the local network through the local edge gateway without bypassing the 5G core network and the Internet network of the operator, so that the user experience of ultra-low time delay and ultra-high bandwidth of the local network can be provided, the load of the core network of the operator can be effectively reduced, and the 5G network congestion of the operator is reduced. The LeGW provides service and cloud computing functions required by telecommunication users by utilizing a wireless access network nearby principle, creates a carrier grade service environment with high performance, low delay and high bandwidth, accelerates rapid downloading of various contents, services and applications in a network, enables consumers to enjoy uninterrupted high-quality network experience, effectively improves service quality, and ensures efficient operation of the network. The proposal of the application can obviously enhance the user experience of special service, meet the requirement of low-delay application of the industrial automation control of the carrier level, and in addition, the local video service can reduce the delay by about 70 percent and improve the bandwidth by about 80 percent.

Furthermore, in some embodiments, the method may further include: if the state of the base station is abnormal, the base station is switched to an abnormal protection mode, and data transmission between the base station and the core network is allowed.

Specifically, after the local edge gateway is added to the base station and the core network, the scheme of the application may face the problems that the local edge gateway itself fails (such as power failure or dead halt) or communication between the local edge gateway and the base station and the core network is abnormal (such as network disconnection).

In order to cope with the above problem, the present embodiment adds an exception protection mechanism, or called a bypass mechanism, when the local edge gateway detects an abnormality of its own state (such as a device failure or a communication abnormality), it automatically switches to an exception protection mode, in which, the local edge gateway is not required to perform any processing on uplink traffic data and downlink traffic data, but allows direct transmission of uplink and downlink messages between the base station and the core network, which is equivalent to making the original link between the base station and the core network recover to be normal, thereby ensuring the reliability and availability of the 5G public network.

Further, in some embodiments, the bypass network card may be configured in a server of the local edge gateway, that is, the local edge gateway includes the bypass network card. bypass network cards are a special type of network card, also known as bypass network cards (bypass NICs). It is a function used in network devices or systems that aims to provide high availability and fault tolerance. It has additional circuitry and mechanisms that allow for bypassing of normal processing paths when an anomaly occurs in the device (corresponding to a local edge gateway in this embodiment), bypassing of network traffic directly around the device, and maintaining network connectivity. Thus, even if the equipment fails, the network can still operate normally, and service interruption is avoided. bypass cards typically contain multiple ports (interfaces), some of which are used for normal data processing, and others for bypass functions. When the equipment fails or needs maintenance, the bypass network port can be automatically switched to a bypass mode, and the flow bypasses the equipment. Based on the above, the bypass network card can ensure that the network can still normally operate when the local edge gateway fails or is maintained, and avoid service interruption.

In practice, the local edge gateway sends verification information to the bypass network card at regular time based on a preset verification program, the bypass network card starts timing every time the bypass network card receives the verification information, and if the verification information is not received again after the preset time is exceeded, the local edge gateway determines that the state of the local edge gateway is abnormal; in addition, the local edge gateway also detects whether the verification program runs normally, and if the verification program is detected to be suspended (an error or abnormality which cannot be continuously executed or further responded occurs in the execution process), the local edge gateway determines that the state of the local edge gateway is abnormal. Based on the above, if the local edge gateway determines that the self state is abnormal, the local edge gateway is switched to an abnormal protection mode, and data is allowed to pass through between the base station and the core network, so that network unavailability caused by the abnormality of the local edge gateway is avoided, and the reliability and availability of the 5G public network are ensured.

In order to make the above-described solution easier to understand, the following is illustrated by means of a few specific examples.

Referring to fig. 3, fig. 3 is a schematic diagram of an intelligent factory network architecture according to an embodiment of the present application. In the system shown in fig. 3, the terminal device includes a sweeper, a security robot, a temperature measuring camera, a twin monitoring device, AR/VR glasses, an AGV (Automated Guided Vehicle, an automatic guided vehicle), a machine vision camera, a gate, and the like in the factory. The factory park is internally provided with a park network (local network) which can be used for a park service platform to process flow data generated by terminal equipment. The terminal device collects or processes the traffic data in the operation process, and the traffic data needs to be sent to a local network or a public network for processing through the base station and the LeGW. The base station is a 5G GNodeB base station, and the LeGW is deployed in a factory in a near transparent mode, so that edge calculation and distribution can be performed on uplink flow data of the terminal equipment. Meanwhile, the LeGW is also connected to the public network through a 5G core network (not shown in the figure), based on the public network, related personnel can work outside the park, for example, remotely control a certain terminal device to start or stop running, corresponding flow data is forwarded to the public network through a base station outside the park, and then is issued to the designated terminal device through the LeGW.

Based on the method, a 5G technology-based high-speed, safe, reliable, good in expandability, low in cost and simple and convenient to use base communication special network with high cost performance is constructed for factories, one-stop communication technical solutions are provided for mobile office, industrial intelligent manufacturing, internet of things development, emergency command dispatching and the like, and the information and intelligent development requirements of the parks in new norms can be met.

Referring to fig. 4, fig. 4 is a schematic diagram of a driving school road test application network architecture according to an embodiment of the present application. In the system shown in fig. 4, the terminal device is a data acquisition device on the road test vehicle, the road test information acquired by the data acquisition device is used as uplink data traffic, and is forwarded to the LeGW through the base station, and then is subjected to edge calculation through the LeGW, and is shunted to a local network (private network of the driving test command center) for processing and storage.

Based on the above, in driving school road test application, on-site test information needs to be transmitted to a driving test command center in real time, at the moment, the data flow is large, and the requirements on wireless transmission bandwidth and instantaneity are high, so that the LeGW solution can meet the requirements on multipath video feedback, voice communication and test taker data transmission of each test vehicle in the test field, reduce the workload of test takers, and on a test route, a single 5G base station can simultaneously meet the requirements on feedback of a plurality of vehicle-mounted data to a vehicle management monitoring center, and maximally utilize 5G wireless access network resources to reduce the load of a 5G core network of an operator; and meanwhile, the system is physically isolated from the public network of the operator, and the information security is ensured.

In addition, an embodiment of the present application provides an edge calculation-based 5G traffic splitting device, which is applied to a local edge gateway, where the local edge gateway is disposed between a base station and a core network, and referring to fig. 5, the edge calculation-based 5G traffic splitting device includes:

an obtaining module 51, configured to obtain uplink traffic data uploaded by a terminal device through a base station;

the processing module 52 is configured to determine whether the uplink traffic data meets a splitting condition based on a preset splitting rule;

the splitting module 53 is configured to split the uplink traffic data to the local network if the uplink traffic data meets a splitting condition; if the uplink flow data does not meet the distribution condition, the uplink flow data is uploaded to the core network.

For the specific implementation method of each module of the edge-calculation-based 5G flow splitting device, reference may be made to the corresponding content in the foregoing method embodiment, which is not described herein again.

In addition, an embodiment of the present application provides an electronic device, as shown in fig. 6, including a memory 61 and a processor 62; the memory 61 stores a computer program, and when the processor 62 calls and executes the computer program, the 5G traffic diversion method based on edge calculation in any of the above embodiments is implemented.

The electronic device may be a server, configured to implement a function of a local edge gateway. In practical applications, the electronic device may be transparently deployed between the base station and the core network.

It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.

It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "plurality" means at least two.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program when executed includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented as software functional modules and sold or used as a stand-alone product. The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (8)

1. The 5G traffic distribution method based on edge calculation is characterized by being applied to a local edge gateway, wherein the local edge gateway is deployed between a base station and a core network, and the method comprises the following steps:

acquiring uplink flow data uploaded by the terminal equipment through the base station;

judging whether the uplink flow data meets a splitting condition or not based on a preset splitting rule;

if the uplink flow data meets the splitting condition, splitting the uplink flow data to a local network; and if the uplink flow data does not meet the split flow condition, uploading the uplink flow data to the core network.

2. The method of claim 1, wherein the determining whether the upstream traffic data satisfies a splitting condition based on a preset splitting rule comprises:

determining a target address and a target port number of the uplink traffic data;

judging whether the target address is positioned in a preset address set or not and judging whether the target port number is positioned in a preset port number set or not;

if the target address is located in the address set or the target port number is located in the port number set, determining that the uplink traffic data does not meet the splitting condition, otherwise, determining that the uplink traffic data meets the splitting condition.

3. The method of claim 2, wherein the determining the destination address and destination port number of the upstream traffic data comprises:

and unpacking the uplink flow data, and acquiring a target address and a target port number from the unpacked data.

4. The method as recited in claim 1, further comprising:

if the state of the base station is abnormal, switching to an abnormal protection mode, and allowing data to pass through between the base station and the core network.

5. The method of claim 4, wherein the local edge gateway comprises a bypass network card, the local edge gateway sends a verification message to the bypass network card at regular time based on a preset verification program, the bypass network card starts timing each time the verification message is received, and if the verification message is not received again beyond a preset time, the local edge gateway determines that the state of the local edge gateway is abnormal; or if the verification program is detected to be hung up, determining that the self state is abnormal.

6. The method as recited in claim 1, further comprising:

and acquiring downlink flow data sent by the local network or the core network, and forwarding the downlink flow data to corresponding terminal equipment through the base station.

7. A 5G traffic splitting device based on edge computation, applied to a local edge gateway, the local edge gateway being disposed between a base station and a core network, the device comprising:

the acquisition module is used for acquiring uplink flow data uploaded by the terminal equipment through the base station;

the processing module is used for judging whether the uplink flow data meet the splitting condition or not based on a preset splitting rule;

the distribution module is used for distributing the uplink flow data to a local network if the uplink flow data meets the distribution condition; and if the uplink flow data does not meet the split flow condition, uploading the uplink flow data to the core network.

8. An electronic device comprising a memory and a processor, the memory storing a computer program, the processor implementing the edge-calculation based 5G traffic splitting method of any of claims 1 to 6 when the computer program is invoked and executed.