CN207124647U - A kind of video on-demand system based on hadoop and Red5 - Google Patents
A kind of video on-demand system based on hadoop and Red5 Download PDFInfo
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- CN207124647U CN207124647U CN201720683695.7U CN201720683695U CN207124647U CN 207124647 U CN207124647 U CN 207124647U CN 201720683695 U CN201720683695 U CN 201720683695U CN 207124647 U CN207124647 U CN 207124647U
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Abstract
It the utility model is related to technical field of video processing, more particularly to a kind of video on-demand system based on hadoop and Red5, including red5 streaming media servers and hadoop distributed memory systems；The hadoop distributed memory systems include hdfs file modules, operation module and system module；The red5 streaming media servers include interactive module and Fuse modules；The operation module is used for the request at customer in response end, and the hdfs file modules are used to store video file；The Fuse modules are used to the file mount in hdfs file modules being converted into files in stream media into red5 streaming media servers；The interactive module is used to play out the files in stream media decrypted transport to client；The system module is used to be managed user's group.The utility model solves the communication issue between hadoop cluster and Red5 streaming media server clusters.
Description
【Technical field】
It the utility model is related to field of video processing, more particularly to a kind of video request program system based on hadoop and Red5
System.
【Background technology】
Hadoop is a Distributed Computing Platform of increasing income, and realizes a distributed file system, i.e. Hadoop distributions
Formula file system HDFS.Hadoop distributed structure/architecture, big data is handled into engine as far as possible close to storage, to such as
Batch operation is relatively suitable as ETL, because the batch processing result of of this sort operation can directly be moved towards to store.
Hadoop MapReduce functions, which realize, smashes individual task, and fragment task (Map) is sent on multiple nodes,
(Reduce) is loaded in the form of individual data collection again afterwards in data warehouse.HDFS has high power capacity, height fault-tolerant, high flexible
The advantages of, therefore it is especially suitable for the storage of great lot video files.
Red 5 is the streaming media server framework of increasing income based on Java EE platforms, and Primary communication agreement has RTMP, HTTP
Deng.Major function includes：Video stream media distribution, the issue of audio streaming media distribution, real time flow medium and recording client stream
Media file etc..
The system architecture that document is developed on the basis of based on hadoop and red, between hadoop and red5
The communication technology is shielded, the problem of causing Red5 and hadoop distributed file systems can not carry out slitless connection.
【Utility model content】
In view of the foregoing, it is necessary to a kind of video on-demand system based on hadoop and Red5 is provided, can be caused
Red5 can carry out slitless connection with hadoop distributed file systems.
To achieve the above object, the technical solution adopted in the utility model is：
A kind of video on-demand system based on hadoop and Red5, including red5 streaming media servers and hadoop distributions
Storage system；
The hadoop distributed memory systems include hdfs file modules, operation module and system module；The red5
Streaming media server includes interactive module and Fuse modules；
The operation module is used for the request at customer in response end, right first when client request playing video file
The local directory of red5 streaming media servers whether there is the video file of client request, as being distributed in the absence of if to hadoop
Formula storage system carries out traversal and checks for the video file that client is asked；
The hdfs file modules are used to store video file；
The Fuse modules are used to the file mount in hdfs file modules being converted into red5 streaming media servers
Files in stream media；
The interactive module is used to play out the files in stream media decrypted transport to client；
The system module is used to carry out pipe to the storage service, access privilege control and ID authentication mechanism of user's group
Reason.
Further, the operation module is additionally operable to receive the file request of client upload, and the client is uploaded
File store into hadoop distributed memory systems.
Further, hadoop distributed storages system is arrived in the file storage that the operation module is additionally operable to upload client
True path is encrypted after uniting successfully and becomes ciphertext address return client.
Further, the hadoop distributed memory systems are worked using multithreading.
Further, the operation module is additionally operable to client request be present in the local directory of red5 streaming media servers
Video file when, control red5 streaming media servers by the video file transfer to client.
Further, the Fuse modules are additionally operable to when it is determined that clients request video is not present in hdfs file modules,
The message in the absence of the video is sent to interactive module.
Due to being had the advantages that using above-mentioned technical proposal, the utility model：
The interactive module based on Red5 streaming media server clusters is provided, interactive module is with being used for the video ciphertext of client
Location is mapped with the video address stored in hadoop cluster.Operation module based on Hadoop is provided, for retrieving, time
Hdfs file system is gone through, and ciphertext address conversion is carried out to the video file address in hdfs file system.Due to ciphertext address
For the address on hadoop clusters, and the video file of local file system can only be promoted based on Red5 streaming media servers
Characteristic, the Red5 streaming media servers cluster on the utility model will assemble Fuse, to long-range hadoop cluster hdfs files
System carries out carry on Red5 streaming media server cluster local file systems, solves hadoop cluster and is taken with Red5 Streaming Medias
Communication issue between business device cluster.
【Brief description of the drawings】
Fig. 1 is the video on-demand system structural frames based on hadoop and Red5 in the better embodiment of the utility model one
Figure.
【Embodiment】
Below in conjunction with the accompanying drawing in the utility model embodiment, the technical scheme in the embodiment of the utility model is carried out
Clearly and completely describing, it is clear that described embodiment is only the utility model part of the embodiment, rather than whole
Embodiment.Based on the embodiment in the utility model, those of ordinary skill in the art are not under the premise of creative work is made
The every other embodiment obtained, belong to the scope of the utility model protection.
Refer to accompanying drawing, a kind of video on-demand system based on hadoop and Red5, including red5 streaming media servers 10
With hadoop distributed memory systems 20.Hadoop distributed memory systems 20 include hdfs file modules 201, operation module
And system module；The red5 streaming media servers include interactive module 102 and Fuse modules 101.Operation module 202 is used to ring
The request of client is answered, when client request playing video file, the local directory to red5 streaming media servers 10 first
With the presence or absence of the video file of client request, it is as carried out traveling through inspection to hadoop distributed memory systems 20 in the absence of if
The no video file that client be present and asked.Hdfs file modules 201 are used to store video file；Fuse modules 101 are used for
File mount in hdfs file modules 201 is converted into files in stream media into red5 streaming media servers 10.Interactive module
102 are used to play out files in stream media decrypted transport to client.System module 203 is used for the storage industry to user's group
Business, access privilege control and ID authentication mechanism are managed.
Further, operation module 202 is additionally operable to receive the file request of client upload, the file that client is uploaded
Store in hadoop distributed memory systems 20.Operation module 202 is additionally operable to arrive the file storage that client uploads
True path is encrypted after the success of hadoop distributed memory systems 20 and becomes ciphertext address return client.Operation module
202 are additionally operable to when the local directory of red5 streaming media servers 10 has the video file of client request, control red5 streams
Media server 10 is by the video file transfer to client.Fuse modules 101 are additionally operable to it is determined that hdfs file modules 201
During in the absence of clients request video, the message in the absence of the video is sent to interactive module 102.Hadoop distributed storages system
System 20 is worked using multithreading.
Claims (6)
- A kind of 1. video on-demand system based on hadoop and Red5, it is characterised in that including red5 streaming media servers and Hadoop distributed memory systems；The hadoop distributed memory systems include hdfs file modules, operation module and system module；The red5 flows matchmaker Body server includes interactive module and Fuse modules；The operation module is used for the request at customer in response end, and when client request playing video file, red5 is flowed first The local directory of media server whether there is the video file of client request, to hadoop distributed storages if being not present System carries out traversal and checks for the video file that client is asked；The hdfs file modules are used to store video file；The Fuse modules are used to be converted into the file mount in hdfs file modules into red5 streaming media servers to flow matchmaker Body file；The interactive module is used to play out the files in stream media decrypted transport to client；The system module is used to be managed the storage service, access privilege control and ID authentication mechanism of user's group.
- 2. the video on-demand system according to claim 1 based on hadoop and Red5, it is characterised in that the operation module It is additionally operable to receive the file request of client upload, hadoop distributed storages system is arrived into the file storage that the client uploads In system.
- 3. the video on-demand system according to claim 2 based on hadoop and Red5, it is characterised in that the operation module It is additionally operable to true path will be encrypted into change after the file storage of client upload to hadoop distributed memory systems success Client is returned into ciphertext address.
- 4. the video on-demand system according to claim 1 based on hadoop and Red5, it is characterised in that the hadoop points Cloth storage system is worked using multithreading.
- 5. the video on-demand system according to claim 1 based on hadoop and Red5, it is characterised in that the operation module It is additionally operable to when the local directory of red5 streaming media servers has the video file of client request, control red5 Streaming Media clothes Business device is by the video file transfer to client.
- 6. the video on-demand system according to claim 1 based on hadoop and Red5, it is characterised in that the Fuse modules It is additionally operable to when it is determined that clients request video is not present in hdfs file modules, disappearing in the absence of the video is sent to interactive module Breath.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720683695.7U CN207124647U (en) | 2017-06-13 | 2017-06-13 | A kind of video on-demand system based on hadoop and Red5 |
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| CN201720683695.7U CN207124647U (en) | 2017-06-13 | 2017-06-13 | A kind of video on-demand system based on hadoop and Red5 |
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| CN207124647U true CN207124647U (en) | 2018-03-20 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107104986A (en) * | 2017-06-13 | 2017-08-29 | 柳州市盛景科技有限公司 | A kind of video on-demand system based on hadoop and Red5 |
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2017
- 2017-06-13 CN CN201720683695.7U patent/CN207124647U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107104986A (en) * | 2017-06-13 | 2017-08-29 | 柳州市盛景科技有限公司 | A kind of video on-demand system based on hadoop and Red5 |
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| GR01 | Patent grant | ||
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Effective date of registration: 20180910 Address after: 545000 502, 1 unit, 9 East Lane 36, arrow road, Yufeng District, Liuzhou, the Guangxi Zhuang Autonomous Region. Co-patentee after: Ma Xiaofang Patentee after: Wu Diewen Address before: 545000 No. 2 building, research and development center, Kun Tong Pioneer Park, Liu Dong New District, Liuzhou, the Guangxi Zhuang Autonomous Region, 507 Patentee before: LIUZHOU SHENGJING SCIENCE & TECHNOLOGY CO., LTD. |
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| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20180928 Address after: 545616, 5, 507, R & D center, Kun Tong Pioneer Park, Liu Dong New District, Liuzhou, the Guangxi Zhuang Autonomous Region, 507 Patentee after: GUANGXI BENYUN TECHNOLOGY CO., LTD. Address before: 545000 502, 1 unit, 9 East Lane 36, arrow road, Yufeng District, Liuzhou, the Guangxi Zhuang Autonomous Region. Co-patentee before: Ma Xiaofang Patentee before: Wu Diewen |
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| TR01 | Transfer of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180320 Termination date: 20200613 |
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| CF01 | Termination of patent right due to non-payment of annual fee |