WO2023246203A1

WO2023246203A1 - Network data processing method and apparatus, and computer readable storage medium

Info

Publication number: WO2023246203A1
Application number: PCT/CN2023/082851
Authority: WO
Inventors: 林宁
Original assignee: 中兴通讯股份有限公司
Priority date: 2022-06-24
Filing date: 2023-03-21
Publication date: 2023-12-28
Also published as: CN117319509A

Abstract

Disclosed are a network data processing method and apparatus and a computer-readable storage medium. The method comprises: determining a forwarding path for forwarding data packets (S101); determining the degree of fitness of the forwarding path according to a network parameter of the forwarding path, said degree of fitness being used for evaluating the network quality of the forwarding path (S102); determining compression ratio information of a data packet according to the degree of fitness (S103); and compressing the data packet according to the compression ratio information (S104).

Description

Network data processing method, device and computer-readable storage medium

Cross-references to related applications

This application is filed based on a Chinese patent application with application number 202210724332.9 and a filing date of June 24, 2022, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated into this application as a reference.

Technical field

The embodiments of the present application relate to, but are not limited to, the technical field of network equipment, and in particular, to a network data processing method, device, and computer-readable storage medium.

Background technique

Currently, the data that needs to be compressed transmitted by network equipment is mainly video services. Video services can be divided into shallow compression and deep compression according to different user needs and changes in network quality, and various compression algorithms can also correspond to these differences. compression ratio.

In related technologies, the compression operation is usually completed before the data reaches the network device. The network device, as a transmission device, does not directly participate in the compression processing of the data. Therefore, when the data that needs to be compressed is transmitted in the network device, it cannot be automatically adjusted according to the network conditions. Once the data compression mode is selected, it is impossible to adjust it. And the network device does not perceive any information about this data during the entire transmission process, nor does it perform any intervention or processing on the compression ratio of this data.

Contents of the invention

The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims.

Embodiments of the present application provide a network data processing method, device and computer-readable storage medium.

In the first aspect, embodiments of the present application provide a network data processing method, which is applied to network equipment. The method includes: determining a forwarding path for forwarding data packets; determining the health of the forwarding path according to network parameters of the forwarding path. degree, the health degree is used to evaluate the network quality of the forwarding path; determine the compression ratio information of the data message according to the health degree; and compress the data message according to the compression ratio information.

In a second aspect, embodiments of the present application provide a network data processing device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, The network data processing method described in the first aspect above.

In a third aspect, embodiments of the present application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above mentioned steps are implemented. The network data processing method described in one aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium that stores a computer-executable program. The computer-executable program is used to cause a computer to execute the method described in the first aspect. Network data processing methods.

Other features and advantages of the present application will be set forth in, and in part will be apparent from, the description that follows. Easily seen, or learned by practicing this application. The objectives and other advantages of the application may be realized and obtained by the structure particularly pointed out in the specification, claims and appended drawings.

Description of the drawings

The drawings are used to provide a further understanding of the technical solution of the present application and constitute a part of the specification. They are used to explain the technical solution of the present application together with the embodiments of the present application and do not constitute a limitation of the technical solution of the present application.

Figure 1 is a main flow chart of a network data processing method provided by an embodiment of the present application;

Figure 2 is a schematic structural diagram of a network device provided by an embodiment of the present application;

Figure 3 is a schematic diagram of data packet compression processing by a network device according to an embodiment of the present application;

Figure 4 is a schematic diagram of data packet compression processing by a network device according to an embodiment of the present application;

Figure 5 is a schematic diagram of data packet compression processing by a network device according to an embodiment of the present application;

Figure 6 is a schematic structural diagram of a network data processing device provided by an embodiment of the present application;

Figure 7 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

It should be understood that in the description of the embodiments of this application, the meaning of multiple (or multiple items) is two or more. Greater than, less than, exceeding, etc. are understood to exclude the number, and above, below, within, etc. are understood to include the number. If there are descriptions of "first", "second", etc., they are only used for the purpose of distinguishing technical features and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the indicated technical features. The sequence relationship of technical features.

In view of the current problem that network devices only serve as transmission devices and do not directly participate in data compression processing, embodiments of the present application provide a network data processing method, device and computer-readable storage medium, by determining the forwarding path of the forwarded data message. ; Determine the health of the forwarding path based on the network parameters of the forwarding path, and the health is used to evaluate the network quality of the forwarding path; determine the compression ratio information of the data packet based on the health; compress the data packet based on the compression ratio information. Based on this, when the network device receives the data that needs to be transmitted, it can intelligently select the compression ratio according to the network conditions, and compress and transmit the data that needs to be transmitted on the network device according to the corresponding compression ratio to automatically adapt to different conditions. Web environment. Therefore, this application can improve the utilization rate of network bandwidth, enhance the intelligence capability of the overall network, and improve users' perception of the effect of network transmission data presentation.

As shown in Figure 1, Figure 1 is a flow chart of a network data processing method provided by an embodiment of the present application. Network data processing methods include but are not limited to the following steps:

Step S101, determine the forwarding path for forwarding the data message;

Step S102: Determine the health of the forwarding path based on the network parameters of the forwarding path. The health is used to evaluate the network quality of the forwarding path;

Step S103, determine the compression ratio information of the data message according to the health degree;

Step S104: Compress the data message according to the compression ratio information.

In an exemplary implementation, this method may be applied to network equipment, which may include but is not limited to switches and routers.

In an exemplary implementation, network equipment is used to make timely judgments on network quality. Determine the exit information of the data flow that needs to be forwarded, determine the health of the forwarding path of the network, and give a comprehensive health score to reflect the health of the forwarding path. Then select the corresponding compression ratio based on the health score. For example, if the network status is good, you can choose not to compress, if the status is generally shallow compression algorithm, if the status is very poor, you can use deep compression algorithm.

In an exemplary implementation, as shown in FIG. 2 , the network device 100 may be integrated with a forwarding module 110 and a compression module 120 . The forwarding module 110 forwards the data packet carrying the compression ratio information to the compression module 120 . The compression module 120 can select algorithms for multiple compression ratios and output compressed data. Based on the health score of the forwarding path, corresponding to the selected compression ratio requirement to be compressed, the network device 100 adds the required compression ratio information to the original data stream, and then redirects it to the compression module 120 for processing through the forwarding module 110. The compression module 120 performs processing according to the After the received compression ratio information performs corresponding compression ratio processing on the original data stream, the data message is restored and sent back to the forwarding module 110. The forwarding module 110 forwards the compressed message according to the original path of the message.

In an exemplary implementation, the health of the forwarding path of the network can be judged based on network parameters, such as port bandwidth, congestion level, packet loss rate, optical module transmission length, rate limiting or shaping, etc. QOS (Quality of Service) , service quality) settings and other information, a comprehensive judgment is made, and finally based on the user's needs or network settings, the data compression ratio requirements of the health parameters of the forwarding path of the network device 100 are determined.

In an exemplary embodiment, the compression module 120 integrated in the network device 100 can be implemented using a network processor chip or an FPGA chip, and is capable of identifying the network device 100 to identify the information carried by the data that needs to be compressed. And the ability to select the corresponding compression ratio algorithm for compression.

In an exemplary embodiment, for the determination process of compression ratio information, the network device 100 identifies data packets that require intelligent compression ratio processing. This can identify the data packets through user configuration or packet characteristics. . The network device 100 determines the network path that needs to be forwarded for data packets that require intelligent compression ratio processing, and determines the network parameters of this forwarding path, such as port parameters, QOS data, bandwidth, optical modules and other information, and combines it based on this situation User configuration to calculate the health score of this forwarding path. Taking port parameters as an example, the higher the packet loss rate, the lower the health score. Taking QOS data as an example, the higher the speed limit value, the lower the health score. Taking bandwidth as an example, the smaller the bandwidth value, the lower the health score. Taking optical modules as an example, the model of the optical module determines the transmission path. The longer the transmission path, the lower the health score; the more stable the optical power of the optical module, the higher the health score. It should be pointed out that the health score can be comprehensively determined based on one or more of the above network parameters. The network device 100 then determines the compression ratio information based on the health score.

In an exemplary implementation, the health score of the forwarding path may be determined based on a comprehensive determination based on one or several network parameters of the forwarding path. Taking port parameters as the basis for determining the health score as an example, when the network device detects that the packet loss rate is 10%, it can be determined that the health score of the forwarding path is 90 points; when the network device detects that the packet loss rate is 20%, it can Determine the health score of the forwarding path to be 80 points. Taking QOS data as the basis for determining the health score as an example, when the speed limit value is four-fifths of the bandwidth value, it can be determined that the health score of the forwarding path is 80 points; when the speed limit value is three-fifths of the bandwidth value, Then it can be determined that the health score of the forwarding path is 60 points. Taking port parameters and QOS data as an example to determine the health score, when the network device detects that the packet loss rate is 10% and the speed limit value is four-fifths of the bandwidth value, the health score of the forwarding path can be determined. is 85 points; when the network device detects that the packet loss rate is 20% and the speed limit value is three-fifths of the bandwidth value, it can be determined that the health score of the forwarding path is 70 points. It should be noted that the above values for calculating the forwarding path health score are only illustrative and should not be understood as limiting the embodiments of the present application.

In an exemplary implementation, regarding the correspondence between the health score of the forwarding path and the compression ratio, the higher the health score, the smaller the compression ratio; conversely, the lower the health score, the greater the compression ratio. Assume that the compression ratio ranges from no compression to deep compression. It is divided into 0-10 levels of compression ratio. Taking the health score of the forwarding path as 90 points as an example, it indicates that the network status of the forwarding path is better at this time, and the 1-level compression ratio can be used to shallowly compress the data packets. Taking the forwarding path as an example, Taking the health score of 20 as an example, it indicates that the network status of the forwarding path is not good at this time, and the 8-level compression ratio can be used to deeply compress the data packets. It should be noted that the above-mentioned numerical correspondence between the health score of the forwarding path and the compression ratio is only an illustrative description and should not be understood as limiting the embodiments of the present application.

In an exemplary implementation, the network device 100 can determine the health score based on its own forwarding path, and select the compression ratio of the corresponding data based on this determination, and pass the compression ratio request to the compression module 120 for processing. The compression module After 120 is processed, it re-enters the forwarding module 110 to forward according to the original path requirements, thereby realizing the function of intelligently adjusting the data compression ratio according to the health of the path.

In an exemplary implementation, the main purpose of this application is to propose a method that allows the network device 100 to participate in the selection and decision of the data compression ratio. Using this method, the network device 100 can greatly improve the network status awareness. Detailed evaluation, and corresponding evaluation results are given. Using this evaluation result, the compression ratio requirements of this data flow can be intelligently selected, and in the changing state of the network environment, the compression ratio of this data flow can also be adjusted accordingly. Variety. Using this method, the data transmission efficiency can be improved, the network bandwidth can be utilized with maximum efficiency in combination with network changes, and timely response to faults or changes in the network can be achieved. Improve the utilization of network bandwidth and improve users' perception of the effect of network transmission data presentation.

Before step S104, it may include but is not limited to the following steps:

The data packet is marked with information so that the data packet carries the compression ratio information.

In an exemplary implementation, the data packet is marked with information so that the data packet can carry compression ratio information. In an exemplary implementation, the header information of the transmission message can be modified to add content that requires compression ratio selection processing. The modification method may include but is not limited to modifying vlan (Virtual Local Area Network, Virtual Local Area Network) ), modify the IP header, modify the packet priority field, etc.

In an exemplary implementation, the network device converts the health score of the forwarding path into compression ratio information and carries it into the data packet, and sends it to the compression module 120. Information marking of the data packet may include but is not limited to the following: Several types:

1. Add message header information and add a message header that can be redirected to the compression module 120. The message header contains compression ratio control information that needs to be compressed.

2. Add message vlan information and add a message vlan that can be flooded to the compression module 120. The message vlan contains compression ratio control information that needs to be compressed.

3. Add packet priority information and use ACL (Access Control List) technology to identify the corresponding packet priority information and redirect it to the compression module 120. The priority information includes compression ratio control information.

4. Add other message information indicating compression ratio control, and use ACL technology to identify the corresponding message information and redirect it to the compression module 120 .

After step S104, it may include but is not limited to the following steps:

After the compression is completed, the information mark is removed, and the data packet is forwarded to the forwarding path.

In an exemplary implementation, the compression module 120 removes the information mark after completing the compression, and the forwarding module 110 forwards the data packet to the forwarding path. In an exemplary implementation, the forwarding module 110 forwards the data packet carrying the compression ratio information to the compression module 120, for example, through ACL redirection technology, mirroring technology or directly using the modified packet header. Forward. After selecting a compression ratio based on the message header information, the compression module 120 performs a corresponding compression operation on the data and processes the modified data information. For example, the modified data information can be restored or lost. discard, and then return the data message to the forwarding module 110. The forwarding module 110 sends the compressed data message according to the original forwarding path.

In an exemplary implementation, this application first uses the network device 100's own judgment on the health of the network path, comprehensively synthesizes various information on the path of the network device 100, and comprehensively obtains a network path health score, and based on this score Select the corresponding compression ratio. If the network status is good, you can choose not to compress. If the status is general, you can use a shallow compression algorithm. If the status is poor, you can use a deep compression algorithm. Then the data message that needs to be intelligently compressed is modified so that it carries the corresponding compression ratio data, and is forwarded to the compression module 120 for compression processing. The compression module 120 performs compression processing according to the compression ratio information carried in the message. , and compress the message header carrying the compression ratio, discard or restore the modified message header information, and send it back to the forwarding module 110 for message forwarding. The message forwarding module 110 forwards the message according to the original path to complete intelligent compression processing of data.

In an exemplary implementation, when the transmission conditions of the network change, the health score of the network can also change accordingly, and corresponding changes can also be made in the selection of the compression ratio. Therefore, such a method can Adapt to various changes and failures in the network and make actual adjustments according to different states.

In an exemplary embodiment, by analyzing the health of the network path by the network device 100, the compression ratio for the data can be intelligently selected according to the health of the network forwarding path, and the compression ratio information that needs to be compressed can be carried into the message. Internally, it is forwarded to the compression module 120 for compression processing. After processing, the modified message is restored and sent back to the forwarding module 110, thereby completing the intelligent compression processing of data within the network device 100. Applying this method can not only improve data transmission efficiency, but also utilize network bandwidth with maximum efficiency based on network changes, and can respond in a timely manner to faults or changes in the network. Improve the utilization of network bandwidth and improve users' perception of the effect of network transmission data presentation.

The network data processing method provided by this application will be further introduced below with reference to specific embodiments.

For example, the network device needs to transmit a video data. The compression module has compression algorithms with compression ratios of 0-10 levels from no compression to deep compression.

Embodiment 1: By adding header information to the data packet, the header information contains compression ratio information

As shown in Figure 3, the network device first determines the forwarding path for forwarding video data, and then based on the network parameters of the forwarding path (including port bandwidth, congestion level, packet loss rate, optical module transmission length, speed limit or shaping and other QOS settings and other information (one or several items) determines that the health score of the forwarding path is 80 points, and determines to use a shallow compression algorithm with a 2-level compression ratio to compress the video data based on the health score. The network device adds header information to the header of the video data. The header information is an IP header to form a GRE (Generic Routing Encapsulation) message. The destination IP is added to the IP header to point to the location of the compression module. The port, IP is X.X.X.2, and the last data indicates that this video data stream requires compression with a level 2 compression ratio. The forwarding module in the network device queries the destination IP address and forwards the video data to the compression module. The compression module compresses the video data according to the level 2 compression ratio. After the video data is compressed, the compression module discards the new IP header in the video data and forwards it back to the forwarding module. The forwarding module sends the compressed video data to the forwarding path normally.

Embodiment 2: By adding vlan information to the data packet, the vlan information contains compression ratio information

As shown in Figure 4, the network device first determines the forwarding path for forwarding video data, and then based on the network parameters of the forwarding path (including port bandwidth, congestion level, packet loss rate, optical module transmission length, speed limit or shaping and other QOS settings and other information (one or several items) determines that the health score of the forwarding path is 80 points, and determines to use a shallow compression algorithm with a 2-level compression ratio to compress the video data based on the health score. The network device adds a vlan field to the header of the video data to form QinQ messages use vlan4010-vlan4020 to represent the compression ratios of levels 0-10 respectively. Setting the vlan in the header of this video data to 4012 indicates that this data stream requires compression with a level 2 compression ratio. The forwarding module searches the vlan forwarding table according to this vlan4012, and forwards the flood of video data to the compression module. The compression module compresses the video data according to the level 2 compression ratio. After the video data is compressed, the compression module discards the new vlan field in the video data and forwards it back to the forwarding module. The forwarding module sends the compressed video data to the forwarding path normally.

Embodiment 3: By adding priority information to the data packet, the priority information includes compression ratio information

As shown in Figure 5, the network device first determines the forwarding path for forwarding video data, and then based on the network parameters of the forwarding path (including port bandwidth, congestion level, packet loss rate, optical module transmission length, speed limit or shaping and other QOS settings and other information (one or several items) determines that the health score of the forwarding path is 80 points, and determines to use a shallow compression algorithm with a 2-level compression ratio to compress the video data based on the health score. The network device adds priority information to the header of this video data (it is assumed here that all other data that does not need to be compressed does not carry priority information) to form a packet carrying priority, represented by priorities 0-7 respectively. 0-7 level compression ratio, set the priority of this video data header to 2, 2 means that this video data requires compression with level 2 compression ratio (since the priority field only has 3 bits, it can only represent 0-7, but There are many ways to modify the fields of the message, not limited to this method). The network device presets ACL rules to match all packets with priority fields and forwards them to the compression module. The forwarding module forwards the flood of video data to the compression module according to this ACL rule. The compression module compresses this data according to level 2. than compression. After the video data is compressed, the compression module restores the priority field in the video data to 0 and forwards it back to the forwarding module. The forwarding module sends the compressed video data to the forwarding path normally.

As can be seen from the above embodiments, compared with the existing network device's message forwarding mechanism for data compression, this application can make the network device no longer a transparent transmission device, and the network device can have a clearer grasp of the network status based on its own The advantage is that it combines the health of the transmission link with the data compression ratio, thereby enabling on-demand data compression based on the health of the network transmission link. And during the processing process, network equipment can be implemented by modifying the fields of the message. The overall processing process can be chip-based and hardware-based, and ultimately the entire process of intelligent processing of all data compression ratios can be completed within the network equipment. Using this method can effectively improve network utilization, enhance the intelligence capabilities of the overall network, and improve users' experience and perception of the transmission effect of the entire network.

As shown in Figure 6, an embodiment of the present application also provides a network data processing device.

In an exemplary implementation, the network data processing device includes: one or more processors and memories. In FIG. 6 , one processor and memory are taken as an example. The processor and memory can be connected through a bus or other means. Figure 6 takes the connection through a bus as an example.

As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer executable programs, such as the network data processing method in the above embodiment of the present application. The processor implements the above-mentioned network data processing method in the embodiment of the present application by running non-transient software programs and programs stored in the memory.

The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system and an application program required for at least one function; the storage data area may store information required to execute the network data processing method in the embodiment of the present application. Data etc. In addition, the memory may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may include memory located remotely relative to the processor, and these remote memories may be connected to the network data processing device through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

The non-transient software programs and program storage required to implement the network data processing method in the above embodiments of the present application are stored in the memory. In the memory, when executed by one or more processors, the network data processing method in the embodiment of the present application is executed, for example, the method steps S101 to S104 in Figure 1 described above are executed, and the datagram is forwarded by determining The forwarding path of the message; determine the health of the forwarding path based on the network parameters of the forwarding path, and the health is used to evaluate the network quality of the forwarding path; determine the compression ratio information of the data message based on the health; compress the data message based on the compression ratio information Perform compression. Based on this, when the network device receives the data that needs to be transmitted, it can intelligently select the compression ratio according to the network conditions, and compress and transmit the data that needs to be transmitted on the network device according to the corresponding compression ratio to automatically adapt to different conditions. Web environment. Using this method, the data transmission efficiency can be improved, the network bandwidth can be utilized with maximum efficiency in combination with network changes, and timely response to faults or changes in the network can be achieved. Improve the utilization of network bandwidth and improve users' perception of the effect of network transmission data presentation.

As shown in Figure 7, an embodiment of the present application also provides an electronic device.

In an exemplary implementation, the electronic device includes: one or more processors and memories. In FIG. 7 , one processor and memory are taken as an example. The processor and memory can be connected through a bus or other means. Figure 7 takes the connection through a bus as an example.

The non-transient software programs and programs required to implement the above-mentioned network data processing method in the embodiment of the present application are stored in the memory. When executed by one or more processors, the above-mentioned network data processing method in the embodiment of the present application is executed. , for example, perform the above-described method steps S101 to S104 in Figure 1 to determine the forwarding path for forwarding the data message; determine the health of the forwarding path according to the network parameters of the forwarding path, and the health is used to evaluate the forwarding path. Network quality; determine the compression ratio information of data packets based on health; compress data packets based on the compression ratio information. Based on this, when the network device receives the data that needs to be transmitted, it can intelligently select the compression ratio according to the network conditions, and compress and transmit the data that needs to be transmitted on the network device according to the corresponding compression ratio to automatically adapt to different conditions. Web environment. Using this method, the data transmission efficiency can be improved, the network bandwidth can be utilized with maximum efficiency in combination with network changes, and timely response to faults or changes in the network can be achieved. Improve the utilization of network bandwidth and improve users' perception of the effect of network transmission data presentation.

In addition, embodiments of the present application also provide a computer-readable storage medium that stores a computer-executable program, and the computer-executable program is executed by one or more control processors, for example, as shown in FIG. 7 Execution by one of the processors may cause the one or more processors to execute the network data processing method in the embodiment of the present application, for example, execute steps S101 to S104 of the method in Figure 1 described above, and forward the data by determining The forwarding path of the packet; determine the health of the forwarding path based on the network parameters of the forwarding path, and the health is used to evaluate the network quality of the forwarding path; determine the compression ratio information of the data packet based on the health; compress the data packet based on the compression ratio information Compress the text. Based on this, when the network device receives the data that needs to be transmitted, it can intelligently select the compression ratio according to the network conditions, and compress and transmit the data that needs to be transmitted on the network device according to the corresponding compression ratio to automatically adapt to different conditions. Web environment. Using this method, the data transmission efficiency can be improved, the network bandwidth can be utilized with maximum efficiency in combination with network changes, and timely response to faults or changes in the network can be achieved. Improve the utilization of network bandwidth and improve users' perception of the effect of network transmission data presentation.

Embodiments of the present application include: determining the forwarding path for forwarding data packets; determining the health of the forwarding path according to the network parameters of the forwarding path, and the health is used to evaluate the network quality of the forwarding path; and determining the compression of the data message according to the health. ratio information; compress the data packet according to the compression ratio information. Based on this, when the network device receives the data that needs to be transmitted, it can intelligently select the compression ratio according to the network conditions, and compress and transmit the data that needs to be transmitted on the network device according to the corresponding compression ratio to automatically adapt to different conditions. Web environment. Therefore, this application can improve the utilization rate of network bandwidth, enhance the intelligence capability of the overall network, and improve users' perception of the effect of network transmission data presentation.

Those of ordinary skill in the art can understand that all or some steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit . Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As is known to those of ordinary skill in the art, the term computer storage media includes volatile and nonvolatile media implemented in any method or technology for storage of information such as computer readable programs, data structures, program modules or other data. removable, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer. Additionally, it is known to those of ordinary skill in the art that communication media typically embodies a computer-readable program, data structure, program module or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

The above is a detailed description of several implementations of the present application, but the present application is not limited to the above-mentioned implementations. Those skilled in the art can also make various equivalent modifications or substitutions without violating the essence of the present application. Equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

A network data processing method, applied to network equipment, the method includes:

Determine the forwarding path for forwarding data packets;

Determine the health of the forwarding path according to the network parameters of the forwarding path, and the health is used to evaluate the network quality of the forwarding path;

Determine the compression ratio information of the data message according to the health degree;

The data message is compressed according to the compression ratio information.
The method according to claim 1, wherein before compressing the data message according to the compression ratio information, it further includes:

The data packet is marked with information, so that the data packet carries the compression ratio information.
The method according to claim 2, wherein the information marking of the data packet so that the data packet carries the compression ratio information includes:

Add header information to the data packet, where the header information includes the compression ratio information.
The method according to claim 2, wherein the information marking of the data packet so that the data packet carries the compression ratio information includes:

Add virtual local area network information to the data packet, where the virtual local area network information includes the compression ratio information.
The method according to claim 2, wherein the information marking of the data packet so that the data packet carries the compression ratio information includes:

Add priority information to the data packet, where the priority information includes the compression ratio information.
The method according to claim 2, wherein after compressing the data message according to the compression ratio information, it further includes:

After the compression is completed, the information mark is removed, and the data packet is forwarded to the forwarding path.
The method according to any one of claims 1 to 6, wherein the network parameters include at least one of the following:

Network port bandwidth;

Network congestion level;

Network packet loss rate;

Optical module transmission length; or

Quality of service setting information.
A network data processing device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any one of claims 1 to 7 is implemented. Described network data processing method.
An electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements as described in any one of claims 1 to 7 network data processing methods.
A computer-readable storage medium stores a computer-executable program, and the computer-executable program is used to cause a computer to execute the network data processing method according to any one of claims 1 to 7.