CN111147927A - Video response system and method and intelligent network card - Google Patents
Video response system and method and intelligent network card Download PDFInfo
- Publication number
- CN111147927A CN111147927A CN201811311071.8A CN201811311071A CN111147927A CN 111147927 A CN111147927 A CN 111147927A CN 201811311071 A CN201811311071 A CN 201811311071A CN 111147927 A CN111147927 A CN 111147927A
- Authority
- CN
- China
- Prior art keywords
- network card
- video
- intelligent network
- hard disk
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
-
- 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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/436—Interfacing a local distribution network, e.g. communicating with another STB or one or more peripheral devices inside the home
- H04N21/4367—Establishing a secure communication between the client and a peripheral device or smart card
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/78—Television signal recording using magnetic recording
- H04N5/781—Television signal recording using magnetic recording on disks or drums
Abstract
The disclosure provides a video response system and method and an intelligent network card, and relates to the field of data communication. On one hand, functions such as high-density calculation of transcoding, transcoding packaging, video compression and the like are unloaded from the CDN server to the intelligent network card, the intelligent network card can utilize programmable hardware to realize the functions, the pressure of a CPU is released, and the video processing speed is increased; on the other hand, the intelligent network card is directly connected with the hard disk, the hard disk does not need to be connected with a CDN server in a hanging mode, the video response path is shortened to be 'hard disk- > intelligent network card- > user', and the video response speed is improved.
Description
Technical Field
The present disclosure relates to the field of data communications, and in particular, to a video response system and method and an intelligent network card.
Background
With the rise of services such as 5G, augmented reality, virtual reality, Internet of things and the like, a large video becomes an important service growth point of a current operator, and the demands of users on video definition and low time delay are more obvious.
At present, each large operator in the industry starts to redesign a bearer architecture and an operation mode of a video service by combining an edge computing technology, such as a Content Delivery Network (CDN) technology, so that video content can be distributed nearby, and video response delay is reduced.
A related art network architecture is shown in fig. 1, where a CDN server uses a Central Processing Unit (CPU) to perform transcoding, and compression operations on video. The CDN server has a Serial Advanced Technology Attachment (SATA) interface, and a hard disk of the CDN server is directly connected to the CDN server through the SATA interface. The CDN server further has a PCIE (peripheral component interconnect express) interface, and the common network card is connected to the CDN server through the PCIE interface.
Referring to fig. 1, a process of acquiring a video by a user includes: firstly, a CDN server extracts a video from a hard disk to a memory through a Direct Memory Access (DMA) technology; then, the CPU interacts with the memory frequently, reads the video content, and performs video transcoding, transcoding packaging and compression processing, and the processed video content is sent to the common network card through the PCIE interface and forwarded to the user from the network interface.
Disclosure of Invention
The inventors found that the related art has the following problems: the video response path 'hard disk- > CPU- > memory- > CPU- > network card- > user' is longer, resulting in longer time delay; the CPU has insufficient calculation performance, is difficult to deal with high-density calculation such as transcoding, conversion packaging, video compression and the like of the video, and causes long processing time.
In view of this, in one aspect of the present disclosure, functions such as transcoding, transcoding encapsulation, video compression and other high-density computations are offloaded from the CDN server to the intelligent network card, which can implement the above functions by using programmable hardware, release CPU pressure, and increase video processing speed; on the other hand, the intelligent network card is directly connected with the hard disk, the hard disk does not need to be connected with a CDN server in a hanging mode, the video response path is shortened to be 'hard disk- > intelligent network card- > user', and the video response speed is improved.
Some embodiments of the present disclosure provide a video response system, comprising:
a CDN server for providing the CDN information to the CDN server,
a hard disk of the CDN server,
and
an intelligent network card, which is provided with a video processing unit,
the hard disk is connected with the intelligent network card, and the intelligent network card is connected with the CDN server.
In some embodiments, the CDN server is configured with a peripheral component interconnect standard PCIE interface, the smart network card is configured with a serial advanced technology attachment SATA interface and a network interface, where the hard disk is connected to the SATA interface of the smart network card, and the smart network card is connected to the PCIE interface of the CDN server.
In some embodiments, the video processing unit is implemented by programmable hardware.
In some embodiments, the video processing unit comprises at least one of a transcoding unit, a transcoding encapsulation unit, and a compression unit
Some embodiments of the present disclosure provide a video response method, including:
the CDN server responds to a video request of a user, and if the requested video content is stored in a hard disk of the CDN server, the intelligent network card is instructed to capture the video content from the hard disk of the CDN server;
the intelligent network card acquires video content requested by a user from the hard disk according to the indication of the CDN server;
the intelligent network card processes the video content to form a video stream;
the intelligent network card forwards the video stream to the user.
In some embodiments, the smart network card obtains the video content requested by the user from the hard disk through the SATA interface.
In some embodiments, the intelligent network card forwards the video stream to the user through the network port.
In some embodiments, the intelligent network card performs at least one of transcoding, decapsulating, and compressing on the video content to form a video stream.
Some embodiments of the present disclosure provide an intelligent network card, including:
the acquisition unit is configured to acquire video content requested by a user from the hard disk according to the instruction of the CDN server;
a video processing unit configured to process video content to form a video stream;
a sending unit configured to forward the processed video stream to a user.
In some embodiments, the obtaining unit is configured to obtain the video content requested by the user from the hard disk through the SATA interface.
In some embodiments, the sending unit is configured to forward the video stream to the user through a network interface.
In some embodiments, the video processing unit comprises at least one of:
a transcoding unit configured to perform transcoding operation on the video content;
a trans-packaging unit configured to perform a trans-packaging operation on the video content;
a compression unit configured to perform a compression operation on the video content.
Drawings
The drawings that will be used in the description of the embodiments or the related art will be briefly described below. The present disclosure will be more clearly understood from the following detailed description, which proceeds with reference to the accompanying drawings,
it is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without undue inventive faculty.
Fig. 1 is a schematic diagram of a network architecture in the related art.
Fig. 2 is a schematic diagram of a video response system according to some embodiments of the present disclosure.
Fig. 3 is a schematic diagram of a video response method according to some embodiments of the present disclosure.
Fig. 4 is a schematic diagram of an intelligent network card according to some embodiments of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure.
On one hand, functions of high-density calculation such as transcoding, transcoding packaging, video compression and the like are unloaded from the CDN server to the intelligent network card, the intelligent network card is added with a programmable function relative to a common network card, the intelligent network card can utilize programmable hardware to realize the functions, CPU pressure is released, and video processing speed is increased; on the other hand, the intelligent network card is directly connected with the hard disk, the hard disk does not need to be connected with a CDN server in a hanging mode, the video response path is shortened to be 'hard disk- > intelligent network card- > user', and the video response speed is improved.
Fig. 2 is a schematic diagram of a video response system according to some embodiments of the present disclosure.
As shown in fig. 2, the system of this embodiment includes: a CDN server 210, a hard disk 220 of the CDN server 210, and an intelligent network card 230. The hard disk 220 is connected to an intelligent network card 230, and the intelligent network card 230 is connected to the CDN server 210.
The CDN server 210 is configured with a PCIE interface 211. The smart card 230 is configured with a video processing unit 123, as well as a SATA interface 234 and a portal 235. The video processing unit 123 may be, for example, a transcoding unit 231, a transcoding unit 232, a compression unit 233, and the like, but is not limited to the illustrated example. There may be one or more of the ports 235. The hard disk 220 is connected to the SATA interface 234 of the intelligent network card 230, and the intelligent network card 230 is connected to the PCIE interface 211 of the CDN server 210.
The video processing unit 123 may be implemented by programmable hardware such as FPGA, NP, or GPU. That is, the transcoding unit 231, the decapsulation unit 232, and the compression unit 233 implement transcoding, decapsulation, and compression functions by programmable hardware such as FPGA, NP, or GPU.
Because the processing performance of the programmable hardware is stronger than that of a server CPU, the CPU pressure can be released, the CPU is concentrated in the control function, and the intensive calculation function is handed to the intelligent network card for processing, so that the video processing speed is improved.
Fig. 3 is a schematic diagram of a video response method according to some embodiments of the present disclosure.
As shown in fig. 3, the method of this embodiment includes:
in step S310, the CDN server 210 responds to the video request of the user, and if the video content requested by the user exists in the hard disk of the CDN server, instructs the intelligent network card 230 to capture the video content from the hard disk 220 of the CDN server 210.
In step S320, the intelligent network card 230 obtains the video content requested by the user from the hard disk 220 according to the instruction of the CDN server 210.
In some embodiments, the smart network card 230 obtains the video content requested by the user from the hard disk 220 through the SATA interface 234, and the video content enters the smart network card 230 from the hard disk 220 through the SATA interface 234.
In step S330, the smart card 230 processes the video content to form a video stream.
In some embodiments, for example, the video content may be at least one of transcoded, decapsulated, and compressed, but is not limited to the illustrated example.
In some embodiments, the smart network card 230 performs transcoding, decapsulation, and compression operations on the video content using the transcoding unit 231, the decapsulation unit 232, and the compression unit 233, respectively.
In step S340, the smart network card 230 forwards the video stream to the user.
In some embodiments, the smart network card 230 forwards the video stream to the user through the portal 235.
In the embodiment, the intelligent network card is directly connected with the hard disk, the hard disk does not need to be connected with the CDN server in a hanging mode, the video response path is shortened to be 'hard disk- > intelligent network card- > user', and the video response speed is improved.
Fig. 4 is a schematic diagram of an intelligent network card 230 according to some embodiments of the present disclosure.
As shown in fig. 4, the intelligent network card 230 of this embodiment includes:
an obtaining unit 236 configured to obtain the video content requested by the user from the hard disk 220 according to the instruction of the CDN server 210.
And a video processing unit 123 configured to process the video content to form a video stream.
A sending unit 237 configured to forward the video stream to the user.
The video processing unit 123 may be, for example, a transcoding unit 231, a transcoding and packaging unit 232, a compression unit 233, and the like, but is not limited to the illustrated example.
A transcoding unit 231 configured to perform a transcoding operation on the video content.
And a trans-encapsulation unit 232 configured to perform a trans-encapsulation operation on the transcoded video content.
And a compression unit 233 configured to perform a compression operation on the transcoded video content to form a video stream.
In addition, the smart card 230 further includes the aforementioned SATA interface 234 and the network interface 235.
In some embodiments, the obtaining unit 236 is configured to obtain the video content requested by the user from the hard disk 220 through the SATA interface 234.
In some embodiments, the sending unit 237 is configured to forward the video stream to the user through the portal 235.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only exemplary of the present disclosure and is not intended to limit the present disclosure, so that any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (10)
1. A video response system comprising:
a content delivery network CDN server that is,
a hard disk of the CDN server,
and
an intelligent network card, which is provided with a video processing unit,
the hard disk is connected with the intelligent network card, and the intelligent network card is connected with the CDN server.
2. The system of claim 1, wherein,
the CDN server is configured with a peripheral component interconnect standard PCIE interface,
the intelligent network card is provided with a Serial Advanced Technology Attachment (SATA) interface and a network port,
the hard disk is connected with the SATA interface of the intelligent network card, and the intelligent network card is connected with the PCIE interface of the CDN server.
3. The system of claim 2, wherein the video processing unit is implemented by programmable hardware.
4. The system of claim 1, wherein the video processing unit comprises at least one of a transcoding unit, and a compression unit.
5. A video response method, comprising:
the method comprises the steps that a Content Delivery Network (CDN) server responds to a video request of a user, and if the requested video content is stored in a CDN server hard disk, an intelligent network card is instructed to capture the video content from the hard disk of the CDN server;
the intelligent network card acquires video content requested by a user from the hard disk according to the indication of the CDN server;
the intelligent network card processes the video content to form a video stream;
the intelligent network card forwards the video stream to the user.
6. The method of claim 5, wherein the smart network card obtains the video content requested by the user from the hard disk through the SATA interface;
or the intelligent network card forwards the video stream to the user through the network interface.
7. The method of claim 5, wherein the intelligent network card at least one of transcodes, trans-encapsulates, and compresses the video content to form the video stream.
8. An intelligent network card, comprising:
the acquisition unit is configured to acquire video content requested by a user from the hard disk according to the instruction of the CDN server;
a video processing unit configured to process video content to form a video stream;
a sending unit configured to forward the processed video stream to a user.
9. The intelligent network card of claim 8,
the acquisition unit is configured to acquire video content requested by a user from the hard disk through the SATA interface;
or, the sending unit is configured to forward the video stream to the user through a network interface.
10. The intelligent network card of claim 8, wherein the video processing unit comprises at least one of:
a transcoding unit configured to perform transcoding operation on the video content;
a trans-packaging unit configured to perform a trans-packaging operation on the video content;
a compression unit configured to perform a compression operation on the video content.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811311071.8A CN111147927A (en) | 2018-11-06 | 2018-11-06 | Video response system and method and intelligent network card |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811311071.8A CN111147927A (en) | 2018-11-06 | 2018-11-06 | Video response system and method and intelligent network card |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111147927A true CN111147927A (en) | 2020-05-12 |
Family
ID=70515835
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811311071.8A Pending CN111147927A (en) | 2018-11-06 | 2018-11-06 | Video response system and method and intelligent network card |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111147927A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1992610A (en) * | 2005-12-31 | 2007-07-04 | 中国科学院计算技术研究所 | Intelligent Ethernet card with function of hardware acceleration |
| CN102752119A (en) * | 2012-07-09 | 2012-10-24 | 南京中兴特种软件有限责任公司 | Interface realizing method for intelligent network card |
| CN203825610U (en) * | 2014-04-21 | 2014-09-10 | 北京网视通联科技有限公司 | System capable of realizing high-speed reading and writing and mass storage under ARM platform |
| CN107111585A (en) * | 2014-12-19 | 2017-08-29 | 亚马逊技术股份有限公司 | Include the on-chip system of multiple computing subsystems |
| US20180152540A1 (en) * | 2016-11-29 | 2018-05-31 | Intel Corporation | Technologies for processing network packets by an intelligent network interface controller |
| WO2018188738A1 (en) * | 2017-04-11 | 2018-10-18 | NEC Laboratories Europe GmbH | Packet handling method and apparatus for network service functions |
-
2018
- 2018-11-06 CN CN201811311071.8A patent/CN111147927A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1992610A (en) * | 2005-12-31 | 2007-07-04 | 中国科学院计算技术研究所 | Intelligent Ethernet card with function of hardware acceleration |
| CN102752119A (en) * | 2012-07-09 | 2012-10-24 | 南京中兴特种软件有限责任公司 | Interface realizing method for intelligent network card |
| CN203825610U (en) * | 2014-04-21 | 2014-09-10 | 北京网视通联科技有限公司 | System capable of realizing high-speed reading and writing and mass storage under ARM platform |
| CN107111585A (en) * | 2014-12-19 | 2017-08-29 | 亚马逊技术股份有限公司 | Include the on-chip system of multiple computing subsystems |
| US20180152540A1 (en) * | 2016-11-29 | 2018-05-31 | Intel Corporation | Technologies for processing network packets by an intelligent network interface controller |
| WO2018188738A1 (en) * | 2017-04-11 | 2018-10-18 | NEC Laboratories Europe GmbH | Packet handling method and apparatus for network service functions |
Non-Patent Citations (2)
| Title |
|---|
| 企业存储技术搜狐号: "Intel发布自主品牌Arria 10GX FPGA加速卡", 《搜狐网》 * |
| 范宏伟等: "两段式虚拟网络功能硬件加速资源部署机制", 《计算机应用》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10924783B2 (en) | Video coding method, system and server | |
| CN108289228B (en) | Panoramic video transcoding method, device and equipment | |
| US9560393B2 (en) | Media processing node | |
| US10645391B2 (en) | Graphical instruction data processing method and apparatus, and system | |
| CN105227968A (en) | Based on the video code conversion accelerated method of section | |
| US10152194B2 (en) | Transmitting hardware-rendered graphical data | |
| CN109040786B (en) | Camera data transmission method, device and system and storage medium | |
| WO2017084467A1 (en) | Method for processing video stream, device, and system | |
| CN110602122A (en) | Video processing method and device, electronic equipment and storage medium | |
| JPH07120319B2 (en) | Computer workstation | |
| WO2019228207A1 (en) | Image encoding and decoding method , related device and storage medium | |
| CN112954457A (en) | Video playing and displaying method, device and system | |
| US20140112354A1 (en) | Method, apparatus, and system for processing streaming media data | |
| CN111031032A (en) | Cloud video transcoding method and device, decoding method and device, and electronic device | |
| CN111147927A (en) | Video response system and method and intelligent network card | |
| WO2023045364A1 (en) | Image display method and apparatus, and storage medium and electronic apparatus | |
| CN105338371A (en) | Multimedia transcoding scheduling method and apparatus | |
| JPWO2020032136A1 (en) | 3D data coding method, 3D data decoding method, 3D data coding device, and 3D data decoding device | |
| CN106506263B (en) | Application information acquisition system, device, apparatus and method | |
| CN111432384B (en) | Large-data-volume audio Bluetooth real-time transmission method for equipment with recording function | |
| CN115883854A (en) | Cloud desktop display method, terminal, cloud desktop system, device and readable medium | |
| CN205430500U (en) | Multi -media transcoding dispatch device | |
| WO2020125129A1 (en) | Data processing method, bbu, rru and computer readable storage medium | |
| JP6404915B2 (en) | Automatic data compression | |
| JPWO2020032004A1 (en) | 3D data storage method, 3D data acquisition method, 3D data storage device, and 3D data acquisition device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200512 |