CN115499681A - CDN live broadcast method based on MEC, MEC server and UPF network element - Google Patents
CDN live broadcast method based on MEC, MEC server and UPF network element Download PDFInfo
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- CN115499681A CN115499681A CN202110672624.8A CN202110672624A CN115499681A CN 115499681 A CN115499681 A CN 115499681A CN 202110672624 A CN202110672624 A CN 202110672624A CN 115499681 A CN115499681 A CN 115499681A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23106—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving caching operations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2181—Source of audio or video content, e.g. local disk arrays comprising remotely distributed storage units, e.g. when movies are replicated over a plurality of video servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
Abstract
The present disclosure provides an MEC-based CDN live broadcast method, an MEC server, a UPF network element, a computer device, and a storage medium, where a CDN node is deployed on the MEC server, and the method includes: the MEC server carries out audio and video processing on the live broadcast content of the corresponding live broadcast source; caching the processed live broadcast content to a CDN node deployed by an MEC server; receiving a first content distribution task sent by a user plane function UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of a live broadcast source are in a convergence layer; and distributing the processed live broadcast content cached on the CDN node deployed by the MEC server to a user terminal corresponding to the IP address of the user. According to the technical scheme, the data processing pressure and the network transmission pressure of the cloud data center can be reduced, the network delay is reduced, and the watching experience of live audiences is improved.
Description
Technical Field
The disclosure belongs to the technical field of live video, and particularly relates to a CDN live broadcast method based on an MEC, an MEC server, a UPF network element, a computer device, and a computer readable storage medium.
Background
The CDN (Content Distribution Network) technology is to place node Network elements at various places of a Network, so as to form a layer of intelligent virtual Network architecture based on the existing internet. Through the CDN technology, the content of the website can be delivered to the "edge" of the network closest to the user, so that the user can obtain the required content nearby.
During live broadcast, a live broadcast source end initiates a live broadcast in a traditional CDN live broadcast acceleration process, content is transmitted back to the central CDN, and the central CDN processes the content and then distributes the content. Because live content processing is performed in the central CDN, data processing pressure of the cloud data center is increased, meanwhile, time delay is increased when a live source sends the live content back to the cloud data center, network pressure is increased when the whole content is directly transmitted back, and audience watching experience is influenced.
Disclosure of Invention
The present disclosure provides a CDN live broadcast method based on Edge Computing MEC, an MEC (Mobile Edge Computing) server, a UPF (User Plane Function) network element, a computer device, and a readable storage medium, which can reduce data processing pressure and network transmission pressure of a cloud data center, reduce network delay, and improve viewing experience of live viewers.
In a first aspect, an embodiment of the present disclosure provides an edge computing MEC-based CDN live broadcast method, which is applied to an MEC server, where a CDN node is deployed on the MEC server, and the method includes:
performing audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server;
caching the live broadcast content subjected to audio and video processing to a CDN node deployed on the MEC server;
receiving a first content distribution task sent by a user plane function UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of a live broadcast source are in a convergence layer;
and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
Further, the method further comprises:
and returning the live broadcast content subjected to audio and video processing to a cloud data center, so that the cloud data center distributes the live broadcast content subjected to audio and video processing to a user terminal after receiving a second content distribution task sent by the UPF network element, wherein the second content distribution task is sent by the UPF network element after monitoring that the IP address of a user watching the live broadcast and the IP address of the live broadcast source are not in a convergence layer, and the user terminal is a user terminal corresponding to the IP address of the user.
Further, the method further comprises:
receiving a user data packet sent by a UPF network element after monitoring that a target IP address of the user data packet for watching the live broadcast is matched with the live broadcast source;
the distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to the user terminal corresponding to the IP address of the user includes:
and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
In a second aspect, an embodiment of the present disclosure provides a content delivery network CDN live broadcast method based on edge computing MEC, which is applied to a user plane function UPF network element, and the method includes:
monitoring an IP address of a user watching live broadcast;
judging whether the IP address of the user and the IP address of the live broadcast source are in a convergence layer or not;
if so, sending a first content distribution task to an MEC server corresponding to the live broadcast source, so that the MEC server distributes the live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user; and the MEC server performs audio and video processing on the live broadcast content of the live broadcast source, and then caches the live broadcast content to CDN nodes deployed on the MEC server.
Further, the method further comprises:
and if the IP address of the user and the IP address of the live broadcast source are not in a convergence layer, sending a second content distribution task to a cloud data center, so that the cloud data center distributes the live broadcast content which is returned by the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user after receiving the second content distribution task.
Further, the method further comprises:
after a target IP address of a user data packet for monitoring and watching live broadcast is matched with a live broadcast source, the user data packet is sent to an MEC server corresponding to the live broadcast source, so that the MEC server distributes live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
In a third aspect, an embodiment of the present disclosure provides an edge computing MEC server, where a CDN node is deployed on the MEC server, and the MEC server includes:
the processing module is used for carrying out audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server;
the cache module is configured to cache the live content subjected to audio and video processing to a CDN node deployed on the MEC server;
the receiving module is set to receive a first content distribution task sent by a UPF network element after monitoring that the IP address of a user watching the live broadcast and the IP address of the live broadcast source are in a convergence layer;
and the content distribution module is configured to distribute the live content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
In a fourth aspect, an embodiment of the present disclosure provides a UPF network element, where the UPF network element includes:
the monitoring module is arranged for monitoring the IP address of a user watching live broadcast;
the judging module is used for judging whether the IP address of the user and the IP address of the live broadcast source are in a convergence layer or not;
the sending module is configured to send a first content delivery task to an MEC server corresponding to the live broadcast source after the judging module judges that the IP address of the user and the IP address of the live broadcast source are in one convergence layer, so that the MEC server delivers the live broadcast content which is cached on the CDN node and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user; and the MEC server performs audio and video processing on the live broadcast content of the live broadcast source, and then caches the live broadcast content to CDN nodes deployed on the MEC server.
In a fifth aspect, an embodiment of the present disclosure further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the edge-computing MEC-based CDN live broadcast method according to any one of the first aspect and the second aspect.
In a sixth aspect, this disclosed embodiment also provides a computer-readable storage medium, including: a computer program which, when run on a computer, causes the computer to perform the edge-computing MEC-based CDN live-casting method as described in any one of the first aspect and the second aspect.
Has the advantages that:
according to the CDN live broadcast method based on the edge computing MEC, the MEC server, the UPF network element, the computer equipment and the readable storage medium, the CDN node is deployed on the MEC server, and the MEC server carries out audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server; caching the live broadcast content subjected to audio and video processing to a CDN node deployed on the MEC server; receiving a first content distribution task sent by a user plane function UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of a live broadcast source are in a convergence layer; and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user. According to the technical scheme, the data processing pressure and the network transmission pressure of the cloud data center can be reduced, the network delay is reduced, and the watching experience of live audiences is improved.
Drawings
Fig. 1 is a schematic flowchart of a CDN live broadcast method based on edge computing MEC according to an embodiment of the present disclosure;
fig. 2 is a schematic view illustrating live content uploading in a conventional CDN live broadcast acceleration;
fig. 3 is an overall architecture diagram of a CDN live broadcast system based on an edge computing MEC according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a CDN live broadcast method based on edge computing MEC according to a second embodiment of the present disclosure;
fig. 5 is an architecture diagram of an MEC server provided in the third embodiment of the present disclosure;
fig. 6 is an architecture diagram of a UPF network element according to a fourth embodiment of the present disclosure;
fig. 7 is an architecture diagram of a computer device according to a fifth embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those skilled in the art, the present disclosure is further described in detail below with reference to the accompanying drawings and examples.
Wherein the terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in the disclosed embodiments and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
During live broadcast, because the video processing is performed in the central CDN, data processing pressure of the cloud data center is increased, and meanwhile, sending the live broadcast source back to the cloud data center increases delay, and content return increases network pressure, which affects viewing experience of viewers.
The following describes the technical solutions of the present disclosure and how to solve the above problems in detail with specific examples. These several specific embodiments may be combined with each other below, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic flowchart of a CDN live broadcast method based on edge computing MEC according to an embodiment of the present disclosure, and is applied to an MEC server, where a CDN node is deployed on the MEC server, and as shown in fig. 1, the method includes:
step S101: performing audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server;
step S102: caching the live broadcast content subjected to audio and video processing to a CDN node deployed on the MEC server;
step S103: receiving a first content distribution task sent by a user plane function UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of a live broadcast source are in a convergence layer;
step S104: and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
A conventional CDN live broadcast acceleration live broadcast content uploading process is shown in fig. 2, where a main broadcast end initiates live broadcast, content is transmitted back to a central CDN, and the central CDN processes the content and then distributes the content. Since the video processing is performed in the central CDN, the data processing pressure of the cloud data center is increased and the time delay is increased.
In the embodiment of the disclosure, a CDN service is deployed on an edge computing node (MEC platform) of an access network, and the MEC node is regarded as a part of an existing CDN system, and the MEC platform has video processing capability and network capability. A live broadcast source starts live broadcast, live broadcast content performs audio and video processing on an MEC platform on an access network side, the processing comprises coding processing (digitalization) and processing (such as audio and video mixing, packaging and the like), the processed content is transmitted to a cloud data center, meanwhile, the live broadcast content is cached at an edge CDN node in the MEC platform, and a PCF (Policy Control function)/SMF (Session Management function) configures an IP (Internet protocol) address of the edge CDN node to which the content is applied, so that a user can sense the live broadcast content cached at the CDN node; and in the process of uploading to the cloud data center, each passing node caches the processed live broadcast content.
When a user initiates a request for watching live broadcast, a UPF (unified power flow) at an access side of the user analyzes whether an IP address of the user is matched with an IP of a live broadcast source or not, for example, the user and the live broadcast source belong to the same area, whether the user is in a convergence layer or not is judged according to an IP address field, and if the IP address of the user and the IP address of the live broadcast source are in the convergence layer, content distribution is carried out in the convergence layer by taking an MEC (media access control) at the access side of the live broadcast source as a content core; the MEC server of the user accessory distributes the content, the local user directly receives the content from the live broadcast source, interaction times with the cloud data center are reduced, bandwidth pressure between the local user and the cloud data center is reduced, meanwhile, time delay of the user for obtaining the video is reduced, and user experience is further improved.
Further, the method further comprises:
and returning the live broadcast content subjected to audio and video processing to a cloud data center, so that the cloud data center distributes the live broadcast content subjected to audio and video processing to a user terminal after receiving a second content distribution task sent by the UPF network element, wherein the second content distribution task is sent by the UPF network element after monitoring that the IP address of a user watching the live broadcast and the IP address of the live broadcast source are not in a convergence layer, and the user terminal is a user terminal corresponding to the IP address of the user.
And the MEC server transmits the processed live broadcast content back to the cloud data center, each CDN node passing through the MEC server caches the video content in the transmission process, when a user initiates a live broadcast watching request, the UPF of the user access side analyzes whether the IP address of the user and the IP address of a live broadcast source are in a convergence layer, and if the IP address is not in the convergence layer, the live broadcast content stored at the data center side is taken as a core for content distribution.
Further, the method further comprises:
receiving a user data packet sent by a UPF network element after monitoring that a target IP address of the user data packet watching the live broadcast is matched with the live broadcast source;
the distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to the user terminal corresponding to the IP address of the user includes:
and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
The user grouping is performed in the form of user grouping basically in the network, the user grouping is sent to the CDN node closest to the user grouping, and the CDN node provides live broadcast content.
The overall architecture of the MEC-based CDN live broadcast system is as shown in fig. 3, where an MEC platform on the live source access side performs video and audio processing on live content of a live source, the processed live content is cached at an edge CDN node in the MEC platform and is returned to a cloud data center, the PCF/SMF configures an IP address of the edge CDN node to which the content applies, and in the process of returning, the video content is cached at each node that passes through. When a user watches the live broadcast, the UPF is responsible for monitoring, and when the UPF monitors that the target IP address of a user data packet is matched with a live broadcast source, the data packet is forwarded to an edge CDN node through the UPF. When a user initiates a request for watching live broadcast, a UPF (unified power flow) of a user access side analyzes whether an IP address of the user and an IP address of a live broadcast source are in a convergence layer, and if the IP addresses are in the convergence layer, content distribution is carried out in the convergence layer by taking an MEC (media over coax) of the live broadcast source access side as a content core; and if the IP address is not in a convergence layer, performing content distribution by taking live content at the data center side as a core.
This disclosed embodiment carries out the processing of live content at live client edge through the MEC server, the live content that will handle is passed back to cloud data center, can reduce network transmission pressure and cloud data center's processing pressure, and after judging that user's IP and live source's IP are in same convergent layer, use the MEC of live source access side to carry out content distribution as the content core in this convergent layer, can reduce cloud data center's data processing pressure and network transmission pressure, and reduce network delay, promote the spectator's of living watching experience.
Fig. 4 is a schematic flowchart of a CDN live broadcast method based on edge computing MEC according to a second embodiment of the present disclosure, which is applied to a UPF network element, and as shown in fig. 4, the method includes:
step S201: monitoring an IP address of a user watching live broadcast;
step S202: judging whether the IP address of the user and the IP address of the live broadcast source are in a convergence layer or not;
step S203: if so, sending a first content distribution task to an MEC server corresponding to the live broadcast source, so that the MEC server distributes the live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user; and after the audio and video processing is carried out on the live broadcast content of the live source by the MEC server, the live broadcast content is cached to a CDN node deployed on the MEC server.
The method comprises the steps that the IP address of a live user is monitored through a UPF network element, after the fact that the IP address of the user and the IP address of a live source are in a convergence layer is judged, the MEC server processes the live content of the live source and then caches the live content on a distributed Content Delivery Network (CDN) node deployed by the MEC server, the local user directly receives the content from the live source, interaction times with a cloud data center are reduced, bandwidth pressure between the local user and the cloud data center is reduced, meanwhile time delay of the user for obtaining a video is reduced, and user experience is further improved.
Further, the method further comprises:
and if the IP address of the user and the IP address of the live broadcast source are not in a convergence layer, sending a second content distribution task to a cloud data center, so that the cloud data center distributes the live broadcast content which is returned by the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user after receiving the second content distribution task.
And when the IP address of the user and the IP address of the live broadcast source are not in the same convergence layer, normally distributing live broadcast content by the cloud data center.
Further, the method further comprises:
after a target IP address of a user data packet for monitoring and watching live broadcast is matched with a live broadcast source, the user data packet is sent to an MEC server corresponding to the live broadcast source, so that the MEC server distributes live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
And a group of users are processed by grouping the user data, so that the distribution efficiency is improved.
Fig. 5 is an architecture diagram of an edge computing MEC server provided in a third embodiment of the present disclosure, where CDN nodes are deployed on the MEC server, and as shown in fig. 5, the MEC server includes:
the processing module 11 is configured to perform audio and video processing on live content of a live source corresponding to the MEC server;
the cache module 12 is configured to cache the live broadcast content after audio and video processing to a CDN node deployed on the MEC server;
a receiving module 13, configured to receive a first content distribution task sent by a UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of the live broadcast source are in a convergence layer;
a content distribution module 14, configured to distribute the live content that is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
Further, the MEC server further comprises a backhaul module 15,
the feedback module 15 is configured to transmit the live content after audio and video processing back to the cloud data center, so that the cloud data center distributes the live content after audio and video processing to the user terminal after receiving a second content distribution task sent by the UPF network element, the second content distribution task is sent by the UPF network element after monitoring that the IP address of the user watching the live broadcast and the IP address of the live broadcast source are not in one convergence layer, and the user terminal is a user terminal corresponding to the IP address of the user.
Further, the receiving module 13 is further configured to receive a user data packet sent by the UPF network element after monitoring that a target IP address of a user data packet watching a live broadcast matches the live broadcast source;
the content delivery module 14 is specifically configured to deliver, according to the user data packet, live content that is cached at a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
Fig. 6 is an architecture diagram of a UPF network element according to a fourth embodiment of the present disclosure, and as shown in fig. 6, the UPF network element includes:
a monitoring module 21 configured to monitor an IP address of a user watching a live broadcast;
a judging module 22 configured to judge whether the IP address of the user and the IP address of the live source are in a convergence layer;
a sending module 23, configured to send a first content delivery task to an MEC server corresponding to the live broadcast source after the determining module determines that the IP address of the user and the IP address of the live broadcast source are in one convergence layer, so that the MEC server delivers the live broadcast content, which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing, to a user terminal corresponding to the IP address of the user; and the MEC server performs audio and video processing on the live broadcast content of the live broadcast source, and then caches the live broadcast content to CDN nodes deployed on the MEC server.
Further, the sending module 23 is further configured to send a second content distribution task to the cloud data center if the determining module 22 determines that the IP address of the user and the IP address of the live broadcast source are not in a convergence layer, so that the cloud data center, after receiving the second content distribution task, distributes the live broadcast content, which is processed by the audio and video and is returned by the MEC server, to the user terminal corresponding to the IP address of the user.
Further, the monitoring module 21 is further configured to monitor whether a target IP address of a user data packet watching a live broadcast matches with the live broadcast source;
the sending module 23 is further configured to send the user data packet to the MEC server corresponding to the live broadcast source after the monitoring module 21 monitors that the target IP address of the user data packet for live broadcast viewing matches with the live broadcast source, so that the MEC server distributes the live broadcast content, which is cached on the CDN node deployed on the MEC server and is processed by audio and video, to the user terminal corresponding to the IP address of the user according to the user data packet.
The MEC server and the UPF network element in the embodiment of the present disclosure are used to implement the MEC-based CDN live broadcast method in the first method embodiment and the second method embodiment, so that description is simpler, and reference may be specifically made to the related description in the first method embodiment, and details are not described here again.
Furthermore, as shown in fig. 7, a computer device according to a fifth embodiment of the present disclosure is further provided, which includes a memory 10 and a processor 20, where the memory 10 stores a computer program, and when the processor 20 runs the computer program stored in the memory 10, the processor 20 executes the above-mentioned various possible MEC-based CDN live broadcast methods.
In addition, the embodiments of the present disclosure also provide a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment executes the above-mentioned various possible methods.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC (Application Specific Integrated Circuit). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
It will be understood that the above embodiments are merely exemplary embodiments employed to illustrate the principles of the present disclosure, and the present disclosure is not limited thereto. It will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the disclosure, and these are to be considered as the scope of the disclosure.
Claims (10)
1. A CDN live broadcast method based on edge computing MEC is applied to an MEC server and is characterized in that CDN nodes are deployed on the MEC server, and the method comprises the following steps:
performing audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server;
caching the live broadcast content subjected to audio and video processing to a CDN node deployed on the MEC server;
receiving a first content distribution task sent by a user plane function UPF network element after monitoring that an IP address of a user watching a live broadcast and an IP address of a live broadcast source are in a convergence layer;
and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
2. The computing method of claim 1, wherein the method further comprises:
and returning the live broadcast content subjected to audio and video processing to a cloud data center, so that the cloud data center distributes the live broadcast content subjected to audio and video processing to a user terminal after receiving a second content distribution task sent by the UPF network element, wherein the second content distribution task is sent by the UPF network element after monitoring that the IP address of a user watching the live broadcast and the IP address of the live broadcast source are not in a convergence layer, and the user terminal is a user terminal corresponding to the IP address of the user.
3. The computing method of claim 1, wherein the method further comprises:
receiving a user data packet sent by a UPF network element after monitoring that a target IP address of the user data packet watching the live broadcast is matched with the live broadcast source;
the distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to the user terminal corresponding to the IP address of the user comprises:
and distributing the live broadcast content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
4. A CDN live broadcast method based on edge computing MEC is applied to a user plane function UPF network element and is characterized by comprising the following steps:
monitoring an IP address of a user watching live broadcast;
judging whether the IP address of the user and the IP address of the live broadcast source are in a convergence layer or not;
if so, sending a first content distribution task to an MEC server corresponding to the live broadcast source, so that the MEC server distributes the live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user; and the MEC server performs audio and video processing on the live broadcast content of the live broadcast source, and then caches the live broadcast content to CDN nodes deployed on the MEC server.
5. The computing method of claim 4, wherein the method further comprises:
and if the IP address of the user and the IP address of the live broadcast source are not in a convergence layer, sending a second content distribution task to a cloud data center, so that the cloud data center distributes the live broadcast content which is processed by the audio and video and is returned by the MEC server to a user terminal corresponding to the IP address of the user after receiving the second content distribution task.
6. The computing method of claim 4, wherein the method further comprises:
after a target IP address of a user data packet for monitoring and watching live broadcast is matched with a live broadcast source, the user data packet is sent to an MEC server corresponding to the live broadcast source, so that the MEC server distributes live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user according to the user data packet.
7. An edge computing MEC server, wherein a Content Delivery Network (CDN) node is deployed on the MEC server, the MEC server comprising:
the processing module is used for carrying out audio and video processing on live broadcast content of a live broadcast source corresponding to the MEC server;
the cache module is configured to cache the live content subjected to audio and video processing to a CDN node deployed on the MEC server;
the receiving module is set to receive a first content distribution task sent by a UPF network element after monitoring that the IP address of a user watching the live broadcast and the IP address of the live broadcast source are in a convergence layer;
and the content distribution module is configured to distribute the live content which is cached on the CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user.
8. A user plane function, UPF, network element, the UPF network element comprising:
the monitoring module is arranged for monitoring the IP address of a user watching live broadcast;
the judging module is used for judging whether the IP address of the user and the IP address of the live broadcast source are in a convergence layer or not;
the sending module is configured to send a first content distribution task to an MEC server corresponding to a live broadcast source after the judging module judges that the IP address of the user and the IP address of the live broadcast source are in one convergence layer, so that the MEC server distributes live broadcast content which is cached on a CDN node deployed on the MEC server and is subjected to audio and video processing to a user terminal corresponding to the IP address of the user; and the MEC server performs audio and video processing on the live broadcast content of the live broadcast source, and then caches the live broadcast content to CDN nodes deployed on the MEC server.
9. Computer arrangement comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor, when executing the memory stored computer program, executes the edge computing MEC based CDN live broadcast method according to any one of claims 1-3, and claims 4-6.
10. A computer-readable storage medium, comprising: computer program which, when run on a computer, causes the computer to perform the CDN live broadcasting method based on edge computing MEC as claimed in any one of claims 1 to 3, and claims 4 to 6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106961616A (en) * | 2017-03-06 | 2017-07-18 | 中山大学 | A kind of live dissemination system of the multi layer cloud of many CDN auxiliary |
| US20170347130A1 (en) * | 2016-05-26 | 2017-11-30 | Yun Shang Company Limited | Processing system and method for live video streaming based on network coding and content distribution network |
| CN107645485A (en) * | 2016-07-22 | 2018-01-30 | 中兴通讯股份有限公司 | A kind of distribution method of network direct broadcasting, system and device |
| CN107948684A (en) * | 2017-11-20 | 2018-04-20 | 广州虎牙信息科技有限公司 | Direct broadcasting room video playing control method, device and server |
| CN109787983A (en) * | 2019-01-24 | 2019-05-21 | 北京百度网讯科技有限公司 | Live stream dicing method, device and system |
| CN110267058A (en) * | 2019-07-18 | 2019-09-20 | 世纪龙信息网络有限责任公司 | Live broadcasting method, gateway, device clusters, system and device |
| CN110266664A (en) * | 2019-06-05 | 2019-09-20 | 中国联合网络通信有限公司广州市分公司 | A kind of Cloud VR video living transmission system based on 5G and MEC |
-
2021
- 2021-06-17 CN CN202110672624.8A patent/CN115499681A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170347130A1 (en) * | 2016-05-26 | 2017-11-30 | Yun Shang Company Limited | Processing system and method for live video streaming based on network coding and content distribution network |
| CN107645485A (en) * | 2016-07-22 | 2018-01-30 | 中兴通讯股份有限公司 | A kind of distribution method of network direct broadcasting, system and device |
| CN106961616A (en) * | 2017-03-06 | 2017-07-18 | 中山大学 | A kind of live dissemination system of the multi layer cloud of many CDN auxiliary |
| CN107948684A (en) * | 2017-11-20 | 2018-04-20 | 广州虎牙信息科技有限公司 | Direct broadcasting room video playing control method, device and server |
| CN109787983A (en) * | 2019-01-24 | 2019-05-21 | 北京百度网讯科技有限公司 | Live stream dicing method, device and system |
| CN110266664A (en) * | 2019-06-05 | 2019-09-20 | 中国联合网络通信有限公司广州市分公司 | A kind of Cloud VR video living transmission system based on 5G and MEC |
| CN110267058A (en) * | 2019-07-18 | 2019-09-20 | 世纪龙信息网络有限责任公司 | Live broadcasting method, gateway, device clusters, system and device |
Non-Patent Citations (1)
| Title |
|---|
| 郭世满: "《宽带接入技术及应用》", 北京邮电大学出版社, pages: 314 * |
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