CN118041857A - Data transmission processing method and device, storage medium and electronic device - Google Patents
Data transmission processing method and device, storage medium and electronic device Download PDFInfo
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Abstract
The embodiment of the application provides a data transmission processing method, a device, a storage medium and an electronic device, wherein the method comprises the following steps: receiving an acquisition request for acquiring a media transmission path sent by an initial client, wherein the acquisition request carries a target client; acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request; the optimal media transmission path is sent to the initial client, so that the initial client performs data transmission with the target client according to the optimal media transmission path, the problems that in the related art, optimal access and routing scheduling are respectively processed by an access center and a routing scheduling center, local optimization exists, and the transmission of audio and video from end to end is not necessarily globally optimal are solved, the globally optimal media transmission path is planned from a full link, the locally optimal problem is broken, and full link acceleration is realized. Further improving the quality of audio and video media transmission, and further improving user experience.
Description
Technical Field
The embodiment of the application relates to the field of communication, in particular to a data transmission processing method, a data transmission processing device, a storage medium and an electronic device.
Background
With the continuous development of the internet, audio and video media data has become the main body of internet traffic, and in recent years, the appearance of AR/VR, cloud games, interactive live broadcast, cloud computers, remote education, video conferences and other scenes provides new challenges for the real-time performance and stability of audio and video transmission, and also promotes the real-time audio and video transmission (Real Time Communication, abbreviated as RTC) technology to become the field of being hot, and the industrial scale of RTC at home and abroad keeps a higher growth speed. In order to solve the problem of media transmission in various scenes, each manufacturer constructs its own audio/video transmission network (Real Time Network, abbreviated as RTN) according to its own service.
The audio and video transmission network RTN system is an end-to-end audio and video transmission system, and can be divided into two parts, namely end-side transmission and intra-cloud transmission. Wherein the end-side transmission refers to the part between the terminal and the edge node in the cloud, which is also called last kilometer transmission. Intra-cloud transmission refers to a portion of forwarding transmissions between intra-cloud edge nodes via one or more forwarding nodes. In RTN, the core of the end-side transmission is the access of the edge node which is matched with the best, and the access is called the best access for short; the core of the intra-cloud transmission is to select an optimal forwarding path, namely route scheduling. In the current RTN scheme, the optimal access and the route scheduling are respectively processed by an access center and a route scheduling center, and the access center and the route scheduling center operate independently of each other, so that local optimization can be realized, but the optimal scheme is not necessarily globally optimal for end-to-end audio/video transmission.
Aiming at the problems that in the related art, optimal access and routing scheduling are respectively processed by an access center and a routing scheduling center, local optimization exists, and the transmission of audio and video from end to end is not necessarily globally optimal, no solution has been proposed yet.
Disclosure of Invention
The embodiment of the application provides a data transmission processing method, a device, a storage medium and an electronic device, which at least solve the problems that in the related art, optimal access and route scheduling are respectively processed by an access center and a route scheduling center, local optimization exists, and the transmission of audio and video from end to end is not necessarily globally optimal.
According to an embodiment of the present application, there is provided a data transmission processing method applied to a full link management center, the method including:
Receiving an acquisition request for acquiring a media transmission path sent by an initial client, wherein the acquisition request carries a target client;
acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request;
And sending the optimal media transmission path to the initial client so that the initial client performs data transmission with the target client according to the optimal media transmission path.
According to another embodiment of the present application, there is also provided a data transmission processing apparatus applied to a full link management center, the apparatus including:
the receiving module is used for receiving an acquisition request for acquiring a media transmission path sent by the starting client, wherein the acquisition request carries a target client;
The acquisition module is used for acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request;
and the sending module is used for sending the optimal media transmission path to the initial client so that the initial client performs data transmission with the target client according to the optimal media transmission path.
According to a further embodiment of the application, there is also provided a computer-readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the application, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In the embodiment of the application, an acquisition request for acquiring a media transmission path sent by an initial client is received, wherein the acquisition request carries a target client; acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request; the optimal media transmission path is sent to the initial client, so that the initial client performs data transmission with the target client according to the optimal media transmission path, the problems that in the related technology, optimal access and routing scheduling are respectively processed by an access center and a routing scheduling center, local optimization exists, and the audio and video transmission from end to end is not necessarily globally optimal are solved, the globally optimal media transmission path is planned from a full link, the locally optimal problem is broken, and full link acceleration is realized. Further improving the quality of audio and video media transmission, and further improving user experience.
Drawings
Fig. 1 is a block diagram of a hardware configuration of an apparatus of a data transmission processing method of an embodiment of the present application;
fig. 2 is a flowchart of a data transmission processing method according to an embodiment of the present application;
Fig. 3 is a flow chart of a data transmission processing method according to an alternative embodiment of the present application;
FIG. 4 is a schematic diagram of a full link acceleration RTN system composition according to an embodiment of the present application;
FIG. 5 is a block diagram of a client composition according to an embodiment of the application;
FIG. 6 is a diagram of a packet format after encapsulating a transmission path according to an embodiment of the present application;
FIG. 7 is a block diagram of an edge node composition in accordance with an embodiment of the present application;
FIG. 8 is a block diagram of a transit node assembly in accordance with an embodiment of the application;
fig. 9 is a block diagram of a full link management center according to an embodiment of the present application;
fig. 10 is a block diagram of a data transmission processing apparatus according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be performed in a device or similar computing means. Taking the example of running on a device, fig. 1 is a block diagram of a hardware structure of a device of a data transmission processing method according to an embodiment of the present application, as shown in fig. 1, the device may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device, etc. processing means) and a memory 104 for storing data, where the device may further include a transmission device 106 for a communication function and an input/output device 108. It will be appreciated by those skilled in the art that the configuration shown in fig. 1 is merely illustrative and is not intended to limit the configuration of the apparatus described above. For example, the device may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a data transmission processing method in an embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104, thereby performing various functional applications and data transmission processing, that is, implementing the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located with respect to the processor 102, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as a NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a data transmission processing method running on the above device is provided, fig. 2 is a flowchart of the data transmission processing method according to an embodiment of the present application, as shown in fig. 2, applied to a full link management center, where the flowchart includes the following steps:
step S202, receiving an acquisition request for acquiring a media transmission path sent by an initial client, wherein the acquisition request carries a target client;
Step S204, obtaining the optimal media transmission path between the initial client and the target client according to the obtaining request;
step S206, the optimal media transmission path is sent to the initial client, so that the initial client performs data transmission with the target client according to the optimal media transmission path.
Through the steps S202 to S206, the problem that in the related art, optimal access and route scheduling are respectively processed by an access center and a route scheduling center, and local optimization exists, and the problem that audio and video transmission from end to end is not necessarily globally optimal can be solved, and a globally optimal media transmission path is planned from a full link, so that the problem of local optimization is broken, and full link acceleration is realized. Further improving the quality of audio and video media transmission, and further improving user experience.
Fig. 3 is a flowchart of a data transmission processing method according to an alternative embodiment of the present application, as shown in fig. 3, before the step S202, the method further includes:
Step S302, link data between a client and an accessed edge node, link data between the edge node and a connected transit node and link data between the transit nodes are obtained, wherein the client comprises the initial client and the target client;
In this embodiment, the step S302 may specifically include: transmitting information of an accessed edge node to the client, transmitting information of a connected relay node to the edge node and the relay node, and transmitting a detection request to the client, the edge node and the relay node; and receiving the link data between the client side detection and the accessed edge node, and receiving the link data between the edge node detection and the connected transfer node and the link data between the transfer node detection and the connected transfer node.
Step S304, converting target link data into a link quality index, wherein the target link data comprises link data between the client and an accessed edge node, link data between the edge node and a connected transit node and link data between the transit nodes;
Step S306, the optimal media transmission paths between all the initial clients and all the destination clients are planned according to the link quality index;
in this embodiment, the step S306 may specifically include: obtaining topological relations among the client, the edge node and the transit node; and planning the optimal media transmission path with the minimum link quality index according to the topological relation and the link quality index.
Step S308, all the initial clients, all the destination clients and all the optimal media transmission paths are stored in an associated mode.
In this embodiment, the step S304 may specifically include:
S3041, determining a quality score of the target link data, and further acquiring the target link data, wherein each link data in the target link data comprises: packet loss data, delay data, jitter data, and available bandwidth data; respectively carrying out smoothing treatment on the packet loss data, the delay data, the jitter data and the available bandwidth data to obtain smoothed packet loss data, smoothed delay data, smoothed jitter data and smoothed available bandwidth data; determining the quality fraction of the target link data according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weight;
In an embodiment, in S3041, smoothing the packet loss data, the delay data, the jitter data, and the available bandwidth data to obtain smoothed packet loss data, smoothed delay data, smoothed jitter data, and smoothed available bandwidth data may specifically include: determining packet loss data after normalization, delay data after normalization, jitter data after normalization and available bandwidth data after normalization; determining average packet loss data of the current packet loss, average delay data of the current packet loss, average jitter data of the current packet loss and average available bandwidth data of the current packet loss; and determining the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data according to the normalized packet loss data, the normalized delay data, the normalized available bandwidth data, the current packet loss average packet loss data, the current packet loss average delay data, the current packet loss average jitter data and the current packet loss average available bandwidth data.
In another embodiment, in S3041 above, determining the quality score of the target link data according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data, and the corresponding trend weight may specifically include:
and determining trend weights corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively by the following modes:
The quality fraction of the link data is determined according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weights, respectively, by:
Ql＝Lsmooth×Tl
Qd＝Dsmooth×Td
Qj＝Jsmooth×Tj
Qb＝Bsmooth×Tb；
Wherein L smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, and the smoothed available bandwidth data, respectively; t l、Td、Tj、Tb is trend weight corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; q l、Qd、Qj、Qb is the quality fractions of packet loss data, delay data, jitter data and available bandwidth data respectively; l smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; wl inc、wdinc、wjinc、wbinc is the trend parameter of increasing the trend parameter of packet loss, delay, jitter and packet loss; wl dec、wddec、wjdec、wbdec is the trend parameter of the increase of the trend parameter of packet loss, delay, jitter and packet loss reduction respectively.
S3042 determining the link quality index according to the quality score of the target link data and the corresponding weight coefficient, further, specifically, determining the link quality index may include:
Qlink＝Wl×Ql+Wd×Qd+Wj×Qj+Wb×Qb；
Wherein Q link is the link quality index, Q l、Qd、Qj、Qb is the quality scores of the packet loss data, the delay data, the jitter data, and the available bandwidth data, and W l、Wd、Wj、Wb is the weight coefficients of the packet loss data, the delay data, the jitter data, and the available bandwidth data, respectively.
The embodiment provides global unified optimization processing for the functions of the optimal access and routing scheduling in the current RTN system, and the optimal access center and the routing scheduling center are fused to form a full-link management center, so that a global optimal access and routing scheduling scheme is planned from a full-link, the problem of local optimization is broken, and full-link acceleration in the real sense is realized. Further improving the quality of audio and video media transmission, and further improving user experience.
Fig. 4 is a schematic diagram of an all-link acceleration RTN system according to an embodiment of the present application, as shown in fig. 4, an optimal access center and a routing scheduling center in the current RTN system are fused to form an all-link management center, and a globally optimal access and routing scheduling scheme is planned from an all-link, so that a locally optimal problem is broken, and all-link acceleration in a true sense is implemented.
The client is an audio/video terminal or a related SDK, is mainly responsible for processing audio/video service, inquiring and packaging path information, is responsible for accessing an edge node, covers an audio/video media display part and an audio/video media generation part, and comprises a PC client, a mobile phone client and a terminal in a conference of a conference room in a video conference scene; the cloud desktop scene comprises a thin terminal, a PC end and a back-end server; the AR/VR scene comprises VR glasses, a terminal helmet and a background server.
The edge node is responsible for accessing the client, has data receiving and transmitting capability, is also responsible for receiving a data detection request of the routing dispatching center, detecting network parameters of the transfer node connected with the data detection request, detecting data including packet loss, delay, jitter, bandwidth and the like, and is responsible for reporting detection results to the full-link management center.
The transfer node is responsible for high-performance forwarding of data, and is also responsible for receiving a data detection request of the routing dispatching center, detecting network parameters of the transfer node and the edge node connected with the data detection request, wherein the detection data comprises packet loss, delay, jitter, bandwidth, node load and the like, and reporting a detection result to the full-link management center.
The full-link management center is responsible for global unified planning of access and forwarding links; not only is the link planning from the client to the edge node, but also the link planning from the edge point to the destination edge node through the transit node is also performed. And the system is also responsible for the management of the overall network topology, issuing a link detection request to a client, an edge node and a transfer node, and collecting link network parameter data reported by the client, the edge node and the transfer node, wherein the data comprises packet loss, delay, jitter, bandwidth and the like.
Fig. 5is a block diagram of a client according to an embodiment of the present application, and as shown in fig. 5, the client in the full link accelerated audio/video transmission RTN system in this embodiment mainly includes a media content module, a path management module, a data transceiver module, and a link probing module.
The media content module is responsible for processing related services such as production/display of audio and video media.
The path management module is responsible for inquiring the global optimal path from the full-link management center, and packaging the path information and the original data into a new data packet for transmission. Fig. 6 is a schematic diagram of a packet format after encapsulating a transmission path according to an embodiment of the present application, where the encapsulated format is as shown in fig. 6, and is responsible for receiving a conversion from encapsulated data to original data.
The data receiving and transmitting module is responsible for receiving data and simultaneously has the function of transmitting the data to the next hop according to the path information indicated in the transmission path.
The link detection module is responsible for registering with a full-link planning module of the full-link management center and receiving a detection request instruction issued by the full-link planning module, wherein the instruction comprises a specific node needing edge detection, the link detection is randomly carried out after the instruction is received, the detection index comprises packet loss, delay, jitter, bandwidth, load and the like, and the specific detected parameters are sent to the full-link planning module of the full-link management center at regular time after the detection is completed.
Fig. 7 is a block diagram of an edge node according to an embodiment of the present application, and as shown in fig. 7, the edge node in the full link accelerated audio/video transmission RTN system in this embodiment mainly includes a client access module, a data transceiver module, and a link probing module.
The client access module is responsible for the access function of the client.
The data receiving and transmitting module is responsible for receiving data and simultaneously has the function of transmitting the data to the next hop according to the path information indicated in the transmission path.
The link detection module is responsible for registering with a full-link planning module of the full-link management center and receiving a detection request instruction issued by the full-link planning module, wherein the instruction comprises a specific node needing edge detection, the link detection is randomly carried out after the instruction is received, the detection index comprises packet loss, delay, jitter, bandwidth, load and the like, and the specific detected parameters are sent to the full-link planning module of the full-link management center at regular time after the detection is completed.
Fig. 8 is a block diagram of a transit node according to an embodiment of the present application, and as shown in fig. 8, the transit node in the full-link accelerated audio/video transmission RTN system according to an embodiment of the present application mainly includes a data transceiver module and a link detection module.
The data receiving and transmitting module is responsible for high-performance receiving of data and has the function of transmitting the high-performance data to the next hop according to the path information indicated in the transmission path.
The link detection module is responsible for registering with a full-link planning module of the full-link management center and receiving a detection request instruction issued by the full-link planning module, wherein the instruction comprises a specific node needing edge detection, the link detection is randomly carried out after the instruction is received, the detection index comprises packet loss, delay, jitter, bandwidth, load and the like, and the specific detected parameters are sent to the full-link planning module of the full-link management center at regular time after the detection is completed.
Fig. 9 is a block diagram of a full link management center according to an embodiment of the present application, and as shown in fig. 9, a transit node in the full link accelerated audio/video transmission RTN system of this embodiment mainly includes a topology management module, a probe management module, and a full link planning module.
The topology management module is responsible for the management of the topology relation of the whole RTN network, and comprises the operations of adding and deleting edge nodes and transit nodes and the operation of changing the connection relation between the nodes. Meanwhile, the registration functions of the client, the edge node and the forwarding node are responsible.
The detection management module is responsible for issuing detection requests to the client, the edge node and the transfer node, receiving detection data of the edge node and the transfer node, and converting specific link parameters into specific link quality indexes. The specific transformation model is as follows:
Qlink＝Wl×Ql+Wd×Qd+Wj×Qj+Wb×Qb (7-1)
Wherein Q link is the link quality index, Q l、Qd、Qj、Qb is the quality scores of the packet loss data, the delay data, the jitter data, and the available bandwidth data, and W l、Wd、Wj、Wb is the weight coefficients of the packet loss data, the delay data, the jitter data, and the available bandwidth data, respectively; a smaller score for Q link indicates a better link quality. Q l、Qd、Qj、Qb is the quality score corresponding to packet loss, delay, jitter and available bandwidth, respectively, and a smaller score indicates that only the relevant parameters have better quality. W l、Wd、Wj、Wb is a packet loss quality parameter, a delay quality parameter, a jitter quality parameter and an available bandwidth quality parameter, and the sum of W l、Wd、Wj、Wb is 1, and the specific value of the sum can be specified according to specific service scenes. For example, W l＝0.3、Wd＝0.35、Wi＝0.25、Wb =0.1 in a video conference scenario; w l＝0.25、Wd＝0.1、Wj＝0.25、Wb = 0.4 in OTT on-demand scenarios; w l＝0.3、Wd＝0.3、Wj＝0.25、Wb = 0.15 in an interactive live scene.
The calculation method of the quality scores corresponding to the Q l、Qd、Qj、Qb packet loss, delay, jitter and available bandwidth is shown in the formula 7-2.
Wherein L smooth represents smoothed packet loss data, T l represents trend weight, which indicates a trend of packet loss change, and indicates whether packet loss increases or decreases.
D smooth represents smoothed delay data, T d represents trend weights, indicating a trend in delay variation, indicating whether delay is increasing or decreasing.
D smooth represents smoothed jitter data, T d represents trend weights indicating a trend of jitter variation, and indicates whether jitter increases or decreases.
B smooth denotes smoothed available bandwidth data, T b denotes a trend weight indicating a trend of losing a change in available bandwidth, indicating whether available bandwidth is increasing or decreasing.
The calculation of L smooth、Dsmooth、Jsmooth and B smooth is shown in equation 7-3.
Wherein L smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, and the smoothed available bandwidth data, respectively; l sth、Dstd、Jstd、Bstd is the packet loss data after normalization, the delay data after normalization, the jitter data after normalization and the available bandwidth data after normalization respectively; l avg、Davg、Javg、Bavg is average packet loss data of the current packet loss, average delay data of the current packet loss, average jitter data of the current packet loss and average available bandwidth data of the current packet loss respectively;
alpha represents a smoothing parameter, defaults to 0.8, and can be adjusted according to actual effects.
The calculation formula of the standardized data of L std、Dstd、Jstd and B std is shown as 7-4.
Wherein L represents an original packet loss rate, the data range of the original packet loss rate is 0-1, and the data range after L std is standardized is 0-5.D represents the original delay data, the data range of the original delay is 0-2000ms, the delay data exceeding 20000ms is set to 20000ms, and the data range after the D std is normalized is 0-5.J represents the original jitter data, the data range of the original jitter is 0-2000ms, the jitter data exceeding 20000ms is set to 20000ms, and the data range after d std is normalized is 0-5.B represents the original available bandwidth, the data range of the original available bandwidth is 0-100000Mbps (10 Gbps), and the data range after B std is standardized is 1-5.
T l、Td、Tj、Tb trend weights are shown in equations 7-5.
Wherein wl inc is a trend parameter of increasing packet loss, defaults to 1.2, and can also be adjusted according to actual effect. wl dec is a packet loss reduction trend parameter, defaults to 0.8, and can also be adjusted according to the actual effect. L (i) smooth represents the smoothed packet loss parameter at the current time, and L (i-1) smooth represents the smoothed packet loss parameter at the last sampling time.
Wd inc is a trend parameter for delay increase, defaults to 1.2, and can be adjusted according to actual effect. wd dec is a delay reduction trend parameter, defaults to 0.8, and can also be adjusted according to the actual effect. D (i) smooth represents the smoothing delay parameter at the current time, and D (i-1) smooth represents the smoothing delay parameter at the last sampling time.
Wj inc is a trend parameter of increasing jitter, defaults to 1.2, and can be adjusted according to actual effect. wj dec is a jitter reduction trend parameter, defaults to 0.8, and can be adjusted according to actual effects. J (i) smooth denotes the smoothed jitter parameter at the current time, and J (i-1) smooth denotes the smoothed jitter parameter at the last sampling time.
Wb inc is a trend parameter of increasing available bandwidth, defaults to 1.2, and can also be adjusted according to actual effects. wb dec is an available bandwidth reduction trend parameter, defaults to 0.8, and can also be adjusted according to actual effects. L (i) smooth represents the smoothed available bandwidth parameter at the current time, and L (i-1) smooth represents the smoothed available bandwidth parameter at the last sampling time.
The full-link planning module is responsible for carrying out global unified planning on the access and forwarding links in real time according to the topological relation among the client, the edge node and the transfer node and the link quality indication based on the detection data, and the real-time planned global optimal transmission link information is stored in a memory for the client to inquire. It is worth pointing out that in the process of global planning according to the topological relation and the link quality index, not only the planning of the undirected graph is supported, but also the planning of the directed graph is supported, and meanwhile, the link path hop count is used as a punishment parameter to be added into a planning algorithm in the planning process, because two links with the same link quality index have better transmission quality, and the links with fewer hop counts have better transmission quality due to the fact that the forwarding hop count is less and the failure rate is low.
The method flow of the full-link acceleration RTN system provided by the embodiment is as follows:
step 1, registering a topology management module of a full-link management center of a client, an edge node and a transfer node;
And step 2, after the registration is completed, the topology management module of the full-link management center stores the client, the edge node, the transit node and the link relation among the client, the edge node and the transit node in the RTN system configured by the user.
Step 3, after the topology relation configuration is completed, a detection management module of the full-link management center issues edge node information which can be accessed by a client to the client; transmitting node information connected with the node to each edge node and the transfer node, and indicating the node information to start detection;
step 4, after the link detection module in the client receives the detection request, starting to dynamically detect the data information of the links between the edge nodes connected with the link detection module, wherein the data information comprises packet loss, delay, jitter, bandwidth, load and the like, and reporting the related data information to a detection management module of the full-link management center;
Step 5, after the link detection module of the edge node and the link detection module of the transfer node receive the detection request, starting to dynamically detect the data information between the transfer nodes connected with the edge node, including packet loss, delay, jitter, bandwidth, load and the like, and reporting the related data information to a detection management module of the full link management center;
Step 6, after receiving the relevant detection data, the detection management module of the full-link management center transmits the detection data to the full-link planning module to quantitatively convert the link parameters such as packet loss, delay, jitter, bandwidth, load and the like into specific link quality indexes through a link quality quantization model, wherein the smaller the numerical value is, the higher the link quality is;
Step 7, the full link planning module of the full link management center dynamically plans the optimal path of media transmission between clients according to the real-time link quality index through a path planning algorithm and stores the optimal path in a memory;
step 8, before sending the media data to the client B, the client a queries the all-link planning module of the all-link management center to obtain the globally optimal media transmission path, and encapsulates the globally optimal media transmission path and the original data, with a format shown in fig. 7.
And 9, after the data encapsulation is completed, the data receiving and transmitting module of the client A transmits the data to the edge node according to the path information indicated in the transmission path.
Step 10, after receiving the data packet containing enough path information, the data transceiver module of the edge node forwards the data packet to the corresponding forwarding node according to the path information indication;
Step 11, after receiving the data packet containing enough path information, the data transceiver module of the forwarding node forwards the data packet to the corresponding next hop according to the path information indication until the data packet is sent to the edge node connected with the destination client B;
and step 12, after receiving the data, the data transceiver module of the edge node connected with the client B strips off the path related information in the data and sends the original data to the client B according to the indication in the path information.
So far, the process of transmitting the media data from the client a to the client B via the globally optimal path is completed.
According to another embodiment of the present application, there is also provided a data transmission processing apparatus, fig. 10 is a block diagram of the data transmission processing apparatus according to an embodiment of the present application, as shown in fig. 10, applied to a full link management center, the apparatus including:
a receiving module 102, configured to receive an acquisition request for acquiring a media transmission path sent by an originating client, where the acquisition request carries a destination client;
An obtaining module 104, configured to obtain an optimal media transmission path between the start client and the destination client according to the obtaining request;
and the sending module 106 is configured to send the optimal media transmission path to the start client, so that the start client performs data transmission with the destination client according to the optimal media transmission path.
In an embodiment, the device further comprises:
The system comprises an acquisition module, a storage module and a transmission module, wherein the acquisition module is used for acquiring link data between a client and an accessed edge node, link data between the edge node and a connected transit node and link data between the transit nodes, and the client comprises an initial client and a destination client;
the conversion module is used for converting target link data into link quality indexes, wherein the target link data comprises link data between the client and an accessed edge node, link data between the edge node and a connected transfer node and link data between the transfer nodes;
The planning module is used for planning the optimal media transmission paths between all the initial clients and all the destination clients according to the link quality indexes;
And the associated storage module is used for carrying out associated storage on all the initial clients, all the destination clients and all the optimal media transmission paths.
In an embodiment, the obtaining module is further configured to send information of an accessed edge node to the client, send information of a connected relay node to the edge node and the relay node, and send a probe request to the client, the edge node and the relay node; and receiving the link data between the client side detection and the accessed edge node, and receiving the link data between the edge node detection and the connected transfer node and the link data between the transfer node detection and the connected transfer node.
In an embodiment, the planning module is further configured to obtain a topological relationship among the client, the edge node, and the transit node; and planning the optimal media transmission path with the minimum link quality index according to the topological relation and the link quality index.
In one embodiment, the conversion module comprises:
a first determining sub-module for determining a quality fraction of the target link data;
and the second determining submodule is used for determining the link quality index according to the quality score of the target link data and the corresponding weight coefficient.
In an embodiment, the first determination submodule includes:
An obtaining unit, configured to obtain the target link data, where each link data in the target link data includes: packet loss data, delay data, jitter data, and available bandwidth data;
The smoothing processing unit is used for respectively carrying out smoothing processing on the packet loss data, the delay data, the jitter data and the available bandwidth data to obtain smoothed packet loss data, smoothed delay data, smoothed jitter data and smoothed available bandwidth data;
And the determining unit is used for determining the quality fraction of the target link data according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weight.
In an embodiment, the smoothing unit is further configured to determine packet loss data after normalization, delay data after normalization, jitter data after normalization, and available bandwidth data after normalization;
Determining average packet loss data of the current packet loss, average delay data of the current packet loss, average jitter data of the current packet loss and average available bandwidth data of the current packet loss;
and determining the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data according to the normalized packet loss data, the normalized delay data, the normalized available bandwidth data, the current packet loss average packet loss data, the current packet loss average delay data, the current packet loss average jitter data and the current packet loss average available bandwidth data.
In an embodiment, the determining unit is further configured to determine trend weights corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, and the smoothed available bandwidth data, respectively, by:
The quality fraction of the link data is determined according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weights, respectively, by:
Ql＝Lsmooth×Tl
Qd＝Dsmooth×Td
Qj＝Jsmooth×Tj
Qb＝Bsmooth×Tb；
Wherein L smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, and the smoothed available bandwidth data, respectively; t l、Td、Tj、Tb is trend weight corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; q l、Qd、Qj、Qb is the quality fractions of packet loss data, delay data, jitter data and available bandwidth data respectively; l smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; wl inc、wdinc、wjinc、wbinc is the trend parameter of increasing the trend parameter of packet loss, delay, jitter and packet loss; wl dec、wddec、wjdec、wbdec is the trend parameter of the increase of the trend parameter of packet loss, delay, jitter and packet loss reduction respectively.
In an embodiment, the second determining submodule is configured to determine the link quality index according to the quality score of the target link data and the corresponding weight coefficient by:
Qlink＝Wl×Ql+Wd×Qd+Wj×Qj+Wb×Qb；
Wherein Q link is the link quality index, Q l、Qd、Qj、Qb is the quality scores of the packet loss data, the delay data, the jitter data, and the available bandwidth data, and W l、Wd、Wj、Wb is the weight coefficients of the packet loss data, the delay data, the jitter data, and the available bandwidth data, respectively.
Embodiments of the present application also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.
Claims (12)
1. A data transmission processing method, applied to a full link management center, the method comprising:
Receiving an acquisition request for acquiring a media transmission path sent by an initial client, wherein the acquisition request carries a target client;
acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request;
And sending the optimal media transmission path to the initial client so that the initial client performs data transmission with the target client according to the optimal media transmission path.
2. The method of claim 1, wherein prior to receiving the acquisition request sent by the originating client to acquire the media transmission path, the method further comprises:
Acquiring link data between a client and an accessed edge node, link data between the edge node and a connected transit node and link data between the transit nodes, wherein the client comprises the starting client and the destination client;
Converting target link data into a link quality index, wherein the target link data comprises link data between the client and an accessed edge node, link data between the edge node and a connected transit node and link data between the transit nodes;
planning optimal media transmission paths between all the initial clients and all the destination clients according to the link quality indexes;
and carrying out association storage on all the initial clients, all the destination clients and all the optimal media transmission paths.
3. The method of claim 2, wherein obtaining link data between the client and the accessed edge node, link data between the edge node and the connected transit node, and link data between the transit nodes comprises:
Transmitting information of an accessed edge node to the client, transmitting information of a connected relay node to the edge node and the relay node, and transmitting a detection request to the client, the edge node and the relay node;
And receiving the link data between the client side detection and the accessed edge node, and receiving the link data between the edge node detection and the connected transfer node and the link data between the transfer node detection and the connected transfer node.
4. The method of claim 2, wherein planning an optimal media transmission path between all of the originating clients and all of the destination clients based on the target link quality index comprises:
Obtaining topological relations among the client, the edge node and the transit node;
And planning the optimal media transmission path with the minimum link quality index according to the topological relation and the link quality index.
5. The method of claim 2, wherein converting the target link data to a link quality index comprises:
Determining a quality score of the target link data;
and determining the link quality index according to the quality score of the target link data and the corresponding weight coefficient.
6. The method of claim 5, wherein determining the quality score of the target link data comprises:
the target link data is acquired, wherein each link data in the target link data comprises: packet loss data, delay data, jitter data, and available bandwidth data;
Respectively carrying out smoothing treatment on the packet loss data, the delay data, the jitter data and the available bandwidth data to obtain smoothed packet loss data, smoothed delay data, smoothed jitter data and smoothed available bandwidth data;
And determining the quality fraction of the target link data according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weight.
7. The method of claim 6, wherein smoothing the packet loss data, the delay data, the jitter data, and the available bandwidth data to obtain smoothed packet loss data, smoothed delay data, smoothed jitter data, and smoothed available bandwidth data, respectively, comprises:
Determining packet loss data after normalization, delay data after normalization, jitter data after normalization and available bandwidth data after normalization;
Determining average packet loss data of the current packet loss, average delay data of the current packet loss, average jitter data of the current packet loss and average available bandwidth data of the current packet loss;
and determining the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data according to the normalized packet loss data, the normalized delay data, the normalized available bandwidth data, the current packet loss average packet loss data, the current packet loss average delay data, the current packet loss average jitter data and the current packet loss average available bandwidth data.
8. The method of claim 6, wherein determining the quality score of the target link data based on the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data, and the corresponding trend weights comprises:
and determining trend weights corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively by the following modes:
The quality fraction of the link data is determined according to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, the smoothed available bandwidth data and the corresponding trend weights, respectively, by:
Ql＝Lsmooth×Tl
Qd＝Dsmooth×Td
Qj＝Jsmooth×Tj
Qb＝Bsmooth×Tb；
Wherein L smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data, and the smoothed available bandwidth data, respectively; t l、Td、Tj、Tb is trend weight corresponding to the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; q l、Qd、Qj、Qb is the quality fractions of packet loss data, delay data, jitter data and available bandwidth data respectively; l smooth、Dsmooth、Jsmooth、Bsmooth is the smoothed packet loss data, the smoothed delay data, the smoothed jitter data and the smoothed available bandwidth data respectively; wl inc、wdinc、wjinc、wbinc is the trend parameter of increasing the trend parameter of packet loss, delay, jitter and packet loss; wl dec、wddec、wjdec、wbdec is the trend parameter of the increase of the trend parameter of packet loss, delay, jitter and packet loss reduction respectively.
9. The method of claim 6, wherein determining the link quality index from the quality score of the target link data and the corresponding weight coefficient comprises:
Qlink＝Wl×Ql+Wd×Qd+Wj×Qj+Wb×Qb；
Wherein Q link is the link quality index, Q l、Qd、Qj、Qb is the quality scores of the packet loss data, the delay data, the jitter data, and the available bandwidth data, and W l、Wd、Wj、Wb is the weight coefficients of the packet loss data, the delay data, the jitter data, and the available bandwidth data, respectively.
10. A data transmission processing apparatus for use in a full link management center, the apparatus comprising:
the receiving module is used for receiving an acquisition request for acquiring a media transmission path sent by the starting client, wherein the acquisition request carries a target client;
The acquisition module is used for acquiring an optimal media transmission path between the starting client and the destination client according to the acquisition request;
and the sending module is used for sending the optimal media transmission path to the initial client so that the initial client performs data transmission with the target client according to the optimal media transmission path.
11. A computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of any of claims 1 to 9 when run.
12. An electronic device comprising a memory in which a computer program is stored and a processor arranged to run the computer program to perform the method of any of claims 1 to 9.
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| CN202211395987.2A CN118041857A (en) | 2022-11-08 | 2022-11-08 | Data transmission processing method and device, storage medium and electronic device |
| PCT/CN2023/105174 WO2024098814A1 (en) | 2022-11-08 | 2023-06-30 | Data transmission processing method and apparatus, and storage medium and electronic apparatus |
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| CN106716937A (en) * | 2016-12-23 | 2017-05-24 | 深圳前海达闼云端智能科技有限公司 | A path calculating and access request distributing method, device and system |
| CN107682264B (en) * | 2017-09-26 | 2018-11-16 | 迅雷计算机（深圳）有限公司 | Data transmission method and system based on real-time active path planning |
| US20200162378A1 (en) * | 2018-11-19 | 2020-05-21 | Zhan Ma | Method And System For Accelerating Interactive-Streaming-Based Applications Via Cloud Overlay Networks |
| CN110809054B (en) * | 2019-11-11 | 2021-10-29 | 腾讯科技（深圳）有限公司 | Data transmission method, device, equipment and storage medium |
| CN113904974B (en) * | 2021-10-09 | 2023-08-15 | 咪咕文化科技有限公司 | Intelligent routing method, device and equipment |
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