CN113038191A - Live stream scheduling method and device, electronic equipment and readable storage medium - Google Patents
Live stream scheduling method and device, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a live streaming scheduling method and device, electronic equipment and a readable storage medium, relates to the technical field of computers, and particularly relates to the technical field of live and content distribution networks. The specific implementation scheme is as follows: in response to the received scheduling request for the live streaming, the condition of each node in the CDN network may be determined based on at least one of the processing quality of each node on the audio and video data, the real-time load capacity of each node, the deployment cost of each node, and the level to which each node belongs, so as to determine a scheduling node for each live streaming. Therefore, the target node can be comprehensively determined based on one or more service parameters according to different requirements for live stream scheduling, so that the live stream scheduling node is more flexibly selected and meets the personalized requirements of manufacturers for providing audio and video live broadcast services.
Description
Technical Field
The present application relates to the field of computer technologies, in particular, to the field of live broadcast and content distribution technologies, and in particular, to a live broadcast stream scheduling method and apparatus, an electronic device, and a readable storage medium.
Background
A Content Delivery Network (CDN) is an intelligent virtual Network built on the basis of an existing Network, and can enable a user to obtain required Content nearby and reduce Network congestion by means of functional modules of load balancing, Content Delivery, scheduling and the like of a central platform by means of edge servers deployed in various places. In the existing audio and video Live broadcast Service (LSS) process, a CDN node is generally randomly selected to complete scheduling of a Live broadcast stream.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for scheduling a live stream.
According to an aspect of the present application, a method for scheduling a live stream is provided, including:
receiving a scheduling request aiming at a live stream, wherein the live stream carries audio and video data;
responding to the scheduling request, and determining a target node based on the parameter value of the service parameter of each node in the content distribution network;
dispatching the live broadcast stream to target equipment through the target node, wherein the target equipment comprises user equipment or a server;
the service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
According to another aspect of the present application, there is provided a scheduling apparatus for live streaming, including:
the receiving module is used for receiving a scheduling request aiming at a live stream, and the live stream carries audio and video data;
a determining module, configured to determine, in response to the scheduling request, a target node based on a parameter value of a service parameter of each node in a content delivery network;
the scheduling module is used for scheduling the live broadcast stream to target equipment through the target node, and the target equipment comprises user equipment or a server;
the service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
According to another aspect of the present application, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform a method of scheduling a live stream as provided herein.
According to another aspect of the present application, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a scheduling method of a live stream provided by the present application.
According to another aspect of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the scheduling method of live streams provided by the present application.
According to the technology of the application, the flexibility of selecting the live stream scheduling node is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a system block diagram of an audio and video live broadcast service according to the present application
Fig. 2 is a flowchart illustrating a scheduling method of a live stream according to a first embodiment of the present application;
fig. 3 is a block diagram of a scheduling apparatus for live streaming according to a second embodiment of the present application;
fig. 4 is a block diagram of an electronic device for implementing a scheduling method of a live stream according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
For ease of understanding, some of the matters referred to in this application are explained below:
the anchor: the anchor refers to a user who initiates the live broadcast, and the anchor is used as an initiator of the live broadcast stream to carry out live broadcast stream pushing through a live broadcast entrance.
Audience: the audience refers to a user watching the live broadcast, and the audience is used as a pull party of a live broadcast stream to watch the live broadcast through the play entrance.
Content Delivery Network (CDN): the CDN is an intelligent virtual network established on the basis of the existing network, and by means of edge servers deployed in various places and through functional modules of load balancing, content distribution, scheduling and the like of a central platform, a user can obtain required content nearby, network congestion is reduced, and the access response speed and hit rate of the user are improved. The functional entities included in the CDN network include a content cache device, a content switch, a content router, a CDN content management system, and the like. The content router is responsible for scheduling a request of a user to a proper device, and dynamically balancing load distribution of each content cache site, and may be understood as a node according to the embodiment of the present application. The load balancing system is the core of the whole CDN, and the accuracy and efficiency of load balancing directly determine the efficiency and performance of the whole CDN.
Live audio and video Service (LSS): as shown in fig. 1, the LSS pushes the live stream to a live Platform (Platform) by collecting streaming information of the anchor user equipment, and the pushed live stream can be accelerated through a CDN network to ensure stability of uplink transmission. After the video stream is pushed to the live broadcast platform, the video stream can be transcoded, recorded, screenshot, safety audit and the like as required. And the processed video stream is delivered to audience user equipment for playing through a CDN network.
Pushing flow: the live streaming refers to a process of pushing the live streaming to a server of the live platform.
Drawing flow: the pull stream is a process of pulling the live stream from a server by using a specified address by audience user equipment at a pull stream end under the condition that the server of the live platform has the live stream.
Referring to fig. 2, fig. 2 is a method for scheduling a live stream according to an embodiment of the present application, where the method includes:
s201, receiving a scheduling request aiming at a live stream, wherein the live stream carries audio and video data.
In this embodiment of the present application, as shown in fig. 1, the scheduling for the live stream may be applied to a process in which the anchor user equipment pushes the stream to the live platform, or may be applied to a process in which the audience user equipment pulls the stream to the live platform, which may be specifically determined according to an actual situation, and this embodiment of the present application is not limited herein.
In specific implementation, the live streaming scheduling method may be executed by a central platform of the CDN network, and may be specifically determined according to an actual situation, which is not limited herein in this embodiment of the present application.
The scheduling request for the live streaming may be a scheduling request sent by the anchor user equipment to the central platform of the CDN network, or a scheduling request sent by the server of the live platform to the CDN network. The scheduling request carries at least one live stream, and the live stream is generated by collecting audio and video data through anchor user equipment. When a central platform in the CDN network receives a scheduling request for a live stream, a target node needs to be determined in the CDN network to implement scheduling of the live stream.
S202, responding to the scheduling request, and determining a target node based on the parameter value of the service parameter of each node in the CDN network.
The service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
In the embodiment of the application, the central platform of the CDN network may determine the target node based on a parameter value of a service parameter of each node in the CDN network.
The service parameter may include the first parameter, and the processing quality of the audio/video data may reflect the quality of the audio/video data after the audio/video data is processed by each node. In a specific implementation, the parameter value of the first parameter of a node depends on the performance of the node, such as bandwidth, throughput, processing performance of a central processing unit, and the like. Based on the processing quality of each node on the audio and video data, a central platform of the CDN can evaluate the processing capacity of each node on the live stream, and further can determine a node with better processing capacity in the current CDN as the target node, so that the processing effect of the audio and video data is improved.
The service parameters may include the second parameter, and the real-time load capacity may be understood as a currently available load capacity, may reflect a current load capacity of each node, and may indicate whether the live stream can be processed in time. Based on the real-time load capacity of each node, the central platform of the CDN can evaluate the load capacity of each node, and further can determine that the node with lower real-time load capacity in the current CDN is determined as the target node, so that network congestion is reduced, and the access speed of a user is improved.
The service parameter may include the third parameter, and the deployment cost may reflect a scheduling cost required for the live stream. Based on the information related to the deployment cost of each node, the central platform of the CDN network can determine a node with a lower deployment cost in the current CDN network as the target node, so as to reduce the cost of saving the audio/video live broadcast service.
The service parameters may include the fourth parameter, and in a long-distance cross-regional push streaming or pull streaming process, the stability of live streaming transmission may be improved and the live streaming effect may be improved by scheduling in sequence among nodes of different levels. Based on the level of each node, a central platform of the CDN can determine a plurality of target nodes step by step, and regional isolation in audio and video live broadcast service is reduced through hierarchical scheduling.
In this embodiment of the application, the central platform of the CDN network may determine a scheduling node for each live stream according to a preset rule, based on a parameter value of the one service parameter, or by comprehensively evaluating conditions of each node in the CDN network in combination with parameter values of two or more service parameters. The preset rule can be a custom rule determined according to the requirements of a live broadcast platform manufacturer, namely a manufacturer providing audio and video live broadcast service, or can be a default rule of the CDN network, which can be specifically determined according to actual conditions, and the embodiment of the present application is not limited herein.
S203, dispatching the live broadcast stream to target equipment through the target node, wherein the target equipment comprises user equipment or a server.
In the embodiment of the application, when the scheduling request for the live streaming is a scheduling request sent by a main broadcasting user equipment to a central platform of a CDN network, the target equipment is a server of the live platform; and under the condition that the scheduling request aiming at the live streaming is a scheduling request sent to the CDN by a server of the live platform, the target equipment is user equipment, the user equipment can be understood as user equipment used by audiences, and the audiences can watch live content through the user equipment.
In specific implementation, after the target node is determined, a central platform of the CDN network may send a live stream carrying audio and video data to the target node, and the target node may perform processing such as acceleration and caching on the audio and video data. When the target node receives a live broadcast request sent by the user equipment, the live broadcast stream carrying the audio and video data can be sent to the user equipment.
The above-described embodiments of the present application have the following advantages or beneficial effects: in response to a received scheduling request for live streaming, the condition of each node in the CDN can be determined based on at least one of the processing quality of each node on audio and video data, the real-time load capacity of each node, the deployment cost of each node and the level of each node in the CDN, and then the scheduling node for each live streaming is determined.
Specific implementation manners of determining a target node in the embodiments of the present application are described below, and the implementation manners of determining a target node in the embodiments of the present application include, but are not limited to, the following three types:
in a first implementation manner, the determining, in response to the scheduling request, a target node based on a parameter value of a service parameter of each node in the content distribution network includes:
responding to the scheduling request, and acquiring parameter values of service parameters of each node in the content distribution network, wherein the service parameters comprise the first parameter, the second parameter and the third parameter;
acquiring a first score of each node based on a parameter value of each service parameter of each node and a first preset weight corresponding to each service parameter;
and determining the priority of each node based on the first score, and determining the node with the highest priority as the target node.
In this embodiment, the central platform of the CDN network may comprehensively determine the priority of each node in the CDN network when live streaming is scheduled based on the first parameter, the second parameter, and the third parameter, and determine the node with the highest priority as the target node.
During specific implementation, the central platform of the CDN network may set the first preset weight of each service parameter according to a requirement of a live broadcast platform manufacturer. Illustratively, if a live broadcast platform manufacturer gives priority to the processing quality of the audio/video data, a central platform of the CDN network may set a first preset weight of the first parameter higher than first preset weights of the second parameter and the third parameter; if the access speed of the user is preferentially considered by the manufacturer of the live broadcast platform, the central platform of the CDN network may set the first preset weight of the second parameter higher than the first preset weight of the first parameter and the first preset weight of the third parameter.
In this embodiment, a central platform of the CDN network may monitor a parameter value of each service parameter of each node in the CDN network in real time, and then perform weighted average calculation according to the parameter value of each service parameter of each node and a first preset weight corresponding to each service parameter, to obtain a first score of each node. A central platform of the CDN network may determine a priority order of the nodes based on the first score. Illustratively, the higher the first score of a node, the higher the priority of that node. It is to be understood that the specific implementation manner of determining the priority of each node based on the first score may be determined according to actual situations, and the embodiment of the present application is not limited herein.
In a specific implementation, for the parameter value of the first parameter, the central platform of the CDN network may monitor, according to the time dimension, parameter values of parameters such as the definition, the hiton rate, and the first frame time of audio/video data processed by each node in a unit time, and may determine the parameter value of the first parameter based on the parameter value of one or more of the parameters.
Illustratively, the central platform of the CDN network determines a parameter value of the first parameter based on the clarity of the processed audio-video data. Assuming that the standard of the definition of the processed audio and video data is 480P, based on the standard, a corresponding parameter value can be determined for the real-time definition of the acquired audio and video data, for example, the real-time definition of the acquired audio and video data is 720P, and the score is 75 points; the real-time definition of the collected audio and video data is 480P, and the score is 60. It can be understood that the central platform of the CDN network may also determine the parameter value of the first parameter based on the parameter values of multiple parameters, which may be determined according to actual situations, and the embodiment of the present application is not specifically limited herein.
For the parameter value of the second parameter, the central platform of the CDN network may monitor the average real-time load capacity of each node in unit time according to the time dimension, and then determine the parameter value of the second parameter. Illustratively, a central platform of the CDN network may determine a reference of the node load capacity according to historical data of the node load capacity, and based on the reference, may determine a corresponding parameter value for the acquired real-time load capacity. The central platform of the CDN network may also set a load capacity upper limit alarm for each node, and when the load capacity of a certain node exceeds the load capacity upper limit, the central platform of the CDN network may receive the alarm information, which may be specifically determined according to an actual situation, and the embodiment of the present application is not limited herein.
For the parameter value of the third parameter, the central platform of the CDN network may determine the deployment cost of each node by acquiring information such as the construction condition of the region where each node is deployed, the network quality, the network operator, or the device performance of the node; the deployment cost of each node can be determined by receiving the deployment cost description uploaded by the operation and maintenance personnel, and then the parameter value of the third parameter is determined. Illustratively, a central platform of the CDN network may determine a reference of the node deployment cost according to a specific requirement of a live broadcast platform manufacturer, and based on the reference, may determine a corresponding parameter value for the acquired real-time deployment cost.
This embodiment has the following advantages or advantageous effects: the central platform of the CDN network may comprehensively determine the priority of each node in the CDN network when the live streaming is scheduled based on the first parameter, the second parameter, and the third parameter, which takes into account both the processing quality of each node and the load capacity of each node and also the deployment cost of each node, so that the determination of the scheduling node for the live streaming is more comprehensive, and the optimization degree of the scheduling node determination is improved. Meanwhile, the priority of each node in the CDN is determined in a weighting calculation mode, and the first preset weight corresponding to each service parameter can be set in a user-defined mode so as to meet different scheduling requirements of a live broadcast platform manufacturer and further improve the flexibility of determining the scheduling node of the live broadcast stream.
In a second embodiment, the determining a target node based on a parameter value of a service parameter of each node in a content distribution network in response to the scheduling request includes:
responding to the scheduling request, and acquiring parameter values of the first parameters of each node in the content distribution network, wherein the first parameters comprise at least one of the definition of the processed audio and video data, the pause rate of the processed audio and video data and the first frame time of the processed audio and video data;
acquiring a second score of each node based on a parameter value of each first parameter of each node and a second preset weight corresponding to each first parameter;
and determining the priority of each node based on the second score, and determining the node with the highest priority as the target node.
In this embodiment, the central platform of the CDN network may determine, based on the parameter value of the first parameter, a priority of each node in the CDN network when live streaming is scheduled, and determine a node with a highest priority as the target node. Therefore, the stability of the live stream in the transmission process can be improved, and the live effect is further improved.
In a specific implementation, the central platform of the CDN network may determine, according to a time dimension, a parameter value of the first parameter based on a parameter value of one or more parameters by monitoring parameter values of parameters such as the definition, the hiton rate, and the first frame time of audio/video data processed by each node in a unit time.
Illustratively, the central platform of the CDN network determines a parameter value of the first parameter based on the definition of the processed audio/video data, and based on the reference, assuming that the reference of the definition of the processed audio/video data is 480P, may determine a corresponding parameter value for the real-time definition of the acquired audio/video data, for example, the real-time definition of the acquired audio/video data is 720P, and the score is 75; the real-time definition of the collected audio and video data is 480P, and the score is 60. It can be understood that, when the central platform of the CDN network may also determine the parameter value of the first parameter based on the parameter values of multiple parameters, which may be determined according to actual situations, and the embodiment of the present application is not specifically limited herein.
In a specific implementation form, a central platform of the CDN network may monitor, in real time, the definition, the stuck rate, and the first frame time of each node in the CDN network in a unit time according to a time dimension, and then perform weighted average calculation according to parameter values of the definition, the stuck rate, and the first frame time and second preset weights respectively corresponding to the parameter values, to obtain a second score of each node. A central platform of the CDN network may determine a priority order of the nodes based on the second score. Illustratively, the higher the second score of a node, the higher the priority of that node. It is to be understood that the specific implementation manner of determining the priority of each node based on the second score may be determined according to actual situations, and the embodiment of the present application is not limited herein.
In this embodiment, in an implementation form, the determining the priority of each node based on the second score and determining a node with the highest priority as the target node includes:
acquiring a parameter value of the second parameter of each node with the highest priority under the condition that the number of the nodes with the highest priority is multiple;
and determining the node with the parameter value of the second parameter smaller than a first preset threshold value in the nodes with the highest priority as the target node.
In this implementation form, based on the first parameter, if there are a plurality of nodes with the highest priority, a target node may be further determined among the plurality of nodes with the highest priority based on a parameter value of the second parameter.
During specific implementation, a central platform of the CDN network obtains the real-time load capacity of each node with the highest priority. In a specific implementation form, the central platform of the CDN network may determine a node with the lowest real-time load capacity as the target node, and if there are multiple nodes with the lowest real-time load capacity, the central platform of the CDN network may randomly determine one node among the nodes with the lowest real-time load capacity as the target node, or determine a node closest to the target device as the target node according to a distance between the node with the lowest real-time load capacity and the target device.
In another specific implementation form, the central platform of the CDN network may randomly determine one node as the target node from among nodes whose real-time load capacity is smaller than a first preset threshold. The first preset threshold may be understood as an upper limit of the load capacity corresponding to each node. The central platform of the CDN network may also determine, as the target node, a node closest to the target device according to a distance between the node whose real-time load capacity is smaller than a first preset threshold and the target device. It should be noted that, in this implementation form, if the real-time load capacities of the nodes with the highest priorities are all greater than the first preset threshold, the target node may be determined in the node with the second highest priority.
In this implementation form, the specific implementation form of a target node is determined among the nodes with the highest priority based on the parameter value of the second parameter, and may be determined according to actual situations, and the embodiment of the present application is not limited herein.
This mode of realization has the following advantage or beneficial effect this embodiment: the priority of each node in the CDN during live stream scheduling is determined based on the parameter value of the first parameter, and the node with the highest priority is determined as the target node, so that the stability of the live stream in the transmission process can be improved, and the live effect is further improved. On the basis of preferentially considering the node quality, the network congestion of high-quality nodes is avoided by combining the load capacity of the nodes, the flexibility of selecting the live stream scheduling nodes is further improved, and the live broadcast effect is further improved.
In this embodiment, in an implementation form, the determining the priority of each node based on the second score and determining a node with the highest priority as the target node includes:
under the condition that the number of the nodes with the highest priority is multiple, acquiring a parameter value of the third parameter of each node with the highest priority;
and determining the node with the parameter value of the third parameter smaller than a second preset threshold value in the nodes with the highest priority as the target node.
In this implementation form, based on the first parameter, if there are a plurality of nodes with the highest priority, a target node may be further determined among the plurality of nodes with the highest priority based on a parameter value of the third parameter.
In specific implementation, a central platform of the CDN network obtains a real-time deployment cost of each node with the highest priority. In a specific implementation form, the central platform of the CDN network may determine a node with the lowest real-time deployment cost as the target node, and if there are multiple nodes with the lowest real-time deployment cost, the central platform of the CDN network may randomly determine one node among the nodes with the lowest real-time deployment cost as the target node, or determine a node closest to the target device as the target node according to a distance between the node with the lowest real-time deployment cost and the target device.
In another specific implementation form, the central platform of the CDN network may randomly determine one node as the target node from among nodes whose real-time deployment cost is smaller than a second preset threshold. The central platform of the CDN network may also determine, as the target node, a node closest to the target device according to a distance between the node whose real-time deployment cost is smaller than a second preset threshold and the target device. It should be noted that, in this implementation form, if the real-time deployment costs of the nodes with the highest priority are all greater than the second preset threshold, the target node may be determined in the nodes with the second highest priority.
In this implementation form, the specific implementation form of a target node is determined among the nodes with the highest priority based on the parameter value of the third parameter, and may be determined according to actual situations, and the embodiment of the present application is not limited herein.
This mode of realization has the following advantage or beneficial effect this embodiment: the priority of each node in the CDN during live stream scheduling is determined based on the parameter value of the first parameter, and the node with the highest priority is determined as the target node, so that the stability of the live stream in the transmission process can be improved, and the live effect is further improved. On the basis of giving priority to the quality of the nodes, the deployment cost of the nodes is combined, so that the stability of live streaming transmission is improved, and the scheduling cost is saved.
In this embodiment, in other embodiments, the CDN network platform may determine, according to different requirements of a live broadcast platform manufacturer, a priority of each node in the CDN network when live streaming is scheduled based on a parameter value of the second parameter, or determine a priority of each node in the CDN network when live streaming is scheduled based on a parameter value of the third parameter, and determine a node with a highest priority as the target node.
Specifically, if the CDN network platform determines the priority of each node in the CDN network during live streaming scheduling based on the parameter value of the second parameter, the node with the highest priority may be determined as the target node. If there are a plurality of determined nodes with the highest priority, a node may be further determined to be the target node from among the plurality of nodes with the highest priority based on the parameter value of the first parameter or the parameter value of the third parameter.
Or, if the CDN network platform determines the priority of each node in the CDN network when live streaming is scheduled based on the parameter value of the third parameter, the node with the highest priority may be determined as the target node. If there are a plurality of determined nodes with the highest priority, a node may be further determined to be the target node from among the plurality of nodes with the highest priority based on the parameter value of the first parameter or the parameter value of the second parameter.
In a third embodiment, the content distribution network includes at least one first level node, and each first level node corresponds to at least one second level node; the determining a target node based on the parameter values of the service parameters of the nodes in the content distribution network in response to the scheduling request comprises:
determining a first target node based on a parameter value of a service parameter of each of the first level nodes in response to the scheduling request;
determining a second target node based on the parameter value of the service parameter of each second-level node corresponding to the first target node;
the scheduling the live broadcast stream to a target device through the target node includes:
and scheduling the live stream to the first target node, scheduling the live stream to the second target node through the first target node, and scheduling the live stream to the target equipment through the second target node.
In this embodiment, the central platform of the CDN network may classify each node according to the load capacity and deployment region of each node, and the central platform of the CDN network may improve the stability of live streaming and improve the live streaming effect by scheduling in sequence between nodes of different levels in the long-distance cross-regional push streaming or pull streaming process based on the parameter value of the service parameter of each first-level node. Specifically, the central platform of the CDN network may divide each node in the CDN network into at least two levels, where each first-level node may radiate at least one second-level node, so that a connection relationship between nodes of different levels is formed.
During specific implementation, the central platform of the CDN network may determine the first target node based on the parameter value of the service parameter of each first-level node, where the first target node is a first-level node in the CDN network. If the central platform of the CDN network receives an access request of a user equipment for the live stream, the location of the user equipment that sends the request may be determined, and if the distance between the location of the first target node and the user equipment that initiates the live stream is long, a second target node may be determined based on a parameter value of a service parameter of each second-level node corresponding to the first target node, so as to implement hierarchical scheduling of nodes at each level.
It should be noted that, a specific implementation of determining the first target node in a plurality of first-level nodes in the CDN network and determining the second target node in a plurality of second-level nodes corresponding to the first target node may refer to the specific implementation of determining the target node, which is not described herein again.
In this embodiment, each node in the CDN network may be divided into at least two stages by a central platform of the CDN network, and a tertiary node or a multistage node may also be set in a live streaming scheduling scene with a long distance, which may be specifically determined according to an actual situation, and this embodiment of the present application is not limited herein.
This embodiment has the following advantages or advantageous effects: the central platform of the CDN network can reduce the region isolation between the anchor user equipment and the audience user equipment through the sequential scheduling among the nodes of different levels, improve the stability of cross-region transmission of the live stream and improve the live effect.
In summary, the above embodiments of the present application have the following advantages or beneficial effects: in response to a received scheduling request for live streaming, the condition of each node in the CDN can be determined based on at least one of the processing quality of each node on audio and video data, the real-time load capacity of each node, the deployment cost of each node and the level of each node in the CDN, then the scheduling node for each live streaming is determined, and the target node can be comprehensively determined based on one or more service parameters according to different requirements for live streaming scheduling, so that the live streaming scheduling node can be selected more flexibly and better meets the personalized requirements of manufacturers for providing audio and video live streaming services.
The application also provides a scheduling device of the live streaming.
As shown in fig. 3, the scheduling apparatus 300 for live streaming includes:
a receiving module 301, configured to receive a scheduling request for a live stream, where the live stream carries audio and video data;
a determining module 302, configured to determine, in response to the scheduling request, a target node based on a parameter value of a service parameter of each node in the content delivery network;
a scheduling module 303, configured to schedule the live stream to a target device through the target node, where the target device includes a user device or a server;
the service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
Optionally, the determining module 302 includes:
a first obtaining unit, configured to obtain, in response to the scheduling request, parameter values of service parameters of each node in the content distribution network, where the service parameters include the first parameter, the second parameter, and the third parameter;
a first calculating unit, configured to obtain a first score of each node based on a parameter value of each service parameter of each node and a first preset weight corresponding to each service parameter;
a first determining unit, configured to determine the priority of each node based on the first score, and determine a node with a highest priority as the target node.
Optionally, the determining module 302 includes:
a second obtaining unit, configured to obtain, in response to the scheduling request, a parameter value of the first parameter of each node in the content distribution network, where the first parameter includes at least one of a resolution of the processed audio/video data, a pause rate of the processed audio/video data, and a first frame time of the processed audio/video data;
the second calculating unit is used for acquiring a second score of each node based on a parameter value of each first parameter of each node and a second preset weight corresponding to each first parameter;
and a second determining unit, configured to determine the priority of each node based on the second score, and determine a node with a highest priority as the target node.
Optionally, the second determining unit includes:
a first obtaining subunit, configured to obtain, when the number of the nodes with the highest priority is multiple, a parameter value of the second parameter of each node with the highest priority;
a first determining subunit, configured to determine, as the target node, a node, of the nodes with the highest priority, where a parameter value of the second parameter is smaller than a first preset threshold.
Optionally, the second determining unit includes:
a second obtaining subunit, configured to obtain, when the number of nodes with the highest priority is multiple, a parameter value of the third parameter of each node with the highest priority;
and a second determining subunit, configured to determine, as the target node, a node, where a parameter value of the third parameter is smaller than a second preset threshold, in the node with the highest priority.
Optionally, the content distribution network includes at least one first-level node, and each first-level node corresponds to at least one second-level node; the determination module 302 includes:
a third determining unit, configured to determine, in response to the scheduling request, a first target node based on a parameter value of a service parameter of each of the first-level nodes;
a fourth determining unit, configured to determine a second target node based on a parameter value of a service parameter of each second-level node corresponding to the first target node;
the scheduling module 303 is specifically configured to:
and scheduling the live stream to the first target node, scheduling the live stream to the second target node through the first target node, and scheduling the live stream to the target equipment through the second target node.
In the foregoing embodiment of the present application, the scheduling apparatus 300 of the live stream may implement each process implemented in the method embodiment shown in fig. 2, and may achieve the same beneficial effects, and for avoiding repetition, the details are not repeated here.
There is also provided, in accordance with an embodiment of the present application, an electronic device, a readable storage medium, and a computer program product.
FIG. 4 shows a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 4, the apparatus 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in device 400 are connected to I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (15)
1. A scheduling method of a live stream includes:
receiving a scheduling request aiming at a live stream, wherein the live stream carries audio and video data;
responding to the scheduling request, and determining a target node based on the parameter value of the service parameter of each node in the content distribution network;
dispatching the live broadcast stream to target equipment through the target node, wherein the target equipment comprises user equipment or a server;
the service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
2. The method of claim 1, wherein the determining a target node based on parameter values of service parameters of nodes in a content distribution network in response to the scheduling request comprises:
responding to the scheduling request, and acquiring parameter values of service parameters of each node in the content distribution network, wherein the service parameters comprise the first parameter, the second parameter and the third parameter;
acquiring a first score of each node based on a parameter value of each service parameter of each node and a first preset weight corresponding to each service parameter;
and determining the priority of each node based on the first score, and determining the node with the highest priority as the target node.
3. The method of claim 1, wherein the determining a target node based on parameter values of service parameters of nodes in a content distribution network in response to the scheduling request comprises:
responding to the scheduling request, and acquiring parameter values of the first parameters of each node in the content distribution network, wherein the first parameters comprise at least one of the definition of the processed audio and video data, the pause rate of the processed audio and video data and the first frame time of the processed audio and video data;
acquiring a second score of each node based on a parameter value of each first parameter of each node and a second preset weight corresponding to each first parameter;
and determining the priority of each node based on the second score, and determining the node with the highest priority as the target node.
4. The method of claim 3, wherein said determining the priority of the nodes based on the second score and determining the highest priority node as the target node comprises:
acquiring a parameter value of the second parameter of each node with the highest priority under the condition that the number of the nodes with the highest priority is multiple;
and determining the node with the parameter value of the second parameter smaller than a first preset threshold value in the nodes with the highest priority as the target node.
5. The method of claim 3, wherein said determining the priority of the nodes based on the second score and determining the highest priority node as the target node comprises:
under the condition that the number of the nodes with the highest priority is multiple, acquiring a parameter value of the third parameter of each node with the highest priority;
and determining the node with the parameter value of the third parameter smaller than a second preset threshold value in the nodes with the highest priority as the target node.
6. The method of claim 1, wherein the content distribution network comprises at least one first level node, each of the first level nodes corresponding to at least one second level node; the determining a target node based on the parameter values of the service parameters of the nodes in the content distribution network in response to the scheduling request comprises:
determining a first target node based on a parameter value of a service parameter of each of the first level nodes in response to the scheduling request;
determining a second target node based on the parameter value of the service parameter of each second-level node corresponding to the first target node;
the scheduling the live broadcast stream to a target device through the target node includes:
and scheduling the live stream to the first target node, scheduling the live stream to the second target node through the first target node, and scheduling the live stream to the target equipment through the second target node.
7. A scheduling apparatus of a live stream, comprising:
the receiving module is used for receiving a scheduling request aiming at a live stream, and the live stream carries audio and video data;
a determining module, configured to determine, in response to the scheduling request, a target node based on a parameter value of a service parameter of each node in a content delivery network;
the scheduling module is used for scheduling the live broadcast stream to target equipment through the target node, and the target equipment comprises user equipment or a server;
the service parameters of the nodes comprise at least one of a first parameter, a second parameter, a third parameter and a fourth parameter, wherein the first parameter is used for representing the processing quality of the nodes on the audio and video data, the second parameter is used for representing the real-time load capacity of the nodes, the third parameter is used for representing the deployment cost of the nodes, and the fourth parameter is used for representing the level of the nodes.
8. The apparatus of claim 7, wherein the means for determining comprises:
a first obtaining unit, configured to obtain, in response to the scheduling request, parameter values of service parameters of each node in the content distribution network, where the service parameters include the first parameter, the second parameter, and the third parameter;
a first calculating unit, configured to obtain a first score of each node based on a parameter value of each service parameter of each node and a first preset weight corresponding to each service parameter;
a first determining unit, configured to determine the priority of each node based on the first score, and determine a node with a highest priority as the target node.
9. The apparatus of claim 7, wherein the means for determining comprises:
a second obtaining unit, configured to obtain, in response to the scheduling request, a parameter value of the first parameter of each node in the content distribution network, where the first parameter includes at least one of a resolution of the processed audio/video data, a pause rate of the processed audio/video data, and a first frame time of the processed audio/video data;
the second calculating unit is used for acquiring a second score of each node based on a parameter value of each first parameter of each node and a second preset weight corresponding to each first parameter;
and a second determining unit, configured to determine the priority of each node based on the second score, and determine a node with a highest priority as the target node.
10. The apparatus of claim 9, wherein the second determining unit comprises:
a first obtaining subunit, configured to obtain, when the number of the nodes with the highest priority is multiple, a parameter value of the second parameter of each node with the highest priority;
a first determining subunit, configured to determine, as the target node, a node, of the nodes with the highest priority, where a parameter value of the second parameter is smaller than a first preset threshold.
11. The apparatus of claim 9, wherein the second determining unit comprises:
a second obtaining subunit, configured to obtain, when the number of nodes with the highest priority is multiple, a parameter value of the third parameter of each node with the highest priority;
and a second determining subunit, configured to determine, as the target node, a node, where a parameter value of the third parameter is smaller than a second preset threshold, in the node with the highest priority.
12. The apparatus of claim 7, wherein the content distribution network comprises at least one first level node, each of the first level nodes corresponding to at least one second level node; the determining module comprises:
a third determining unit, configured to determine, in response to the scheduling request, a first target node based on a parameter value of a service parameter of each of the first-level nodes;
a fourth determining unit, configured to determine a second target node based on a parameter value of a service parameter of each second-level node corresponding to the first target node;
the scheduling module is specifically configured to:
and scheduling the live stream to the first target node, scheduling the live stream to the second target node through the first target node, and scheduling the live stream to the target equipment through the second target node.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
14. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6.
15. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-6.
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