Multi-source flow media transmission QoS control method

Abstract

The method includes five modules: interpreter for description language of multiple source stream media, bandwidth allocation of multiple source stream media, fixed value breadth examination, data transmission control, and RTP / RTCP. Based on MSML file, MSML interpreter obtains URL of each path of stream media, and requirement of transmission quality. Based on requirement of QoS of stream media transmission and bandwidth value obtained by detection module, the bandwidth allocation module determines transmission rate and encoding of each stream media. Based on VCR command and state of buffer, module of data transmission controls media transmission. RTP / RTCP module realizes ordered transmission in real time. The method realizes QoS control to lower transmission delay and packet lose rate. The invention is suitable to application areas such as video on demand in multiwindow, network video monitoring, network instruction on demand, and live programme etc.

Description

technical field [0001] The invention belongs to the technical field of computer design and application, relates to computer software, data transmission technology, multimedia technology and IP network, and particularly relates to a multi-source streaming media transmission QoS control method. Background technique [0002] At present, the main object of QoS research on streaming media transmission is single-channel streaming media, and the methods to solve the problem are mainly through buffer scheduling, network resource reservation and other methods. When performing single-source streaming media transmission, the effect is better, but when performing multi-source streaming media transmission QoS control, the effect of the above techniques is not ideal. [0003] For the QoS control method for multi-source streaming media transmission, the applicant retrieved 4 documents closely related to the present invention through a novelty search, which are respectively: [0004] 1. Mu...

AI Technical Summary

Problems solved by technology

Among them, the multi-buffer control and scheduling algorithm can solve the jitter problem during playback to a certain extent, but it is powerless in network transmission; the resource reservation protocol RSVP can be used to reserve resources in the network between streaming media transmissions, This requires network support and cannot be dynamically adjusted according to changes in the network environment; the use of multi-path transmission methods can shield some network failures, but it does not determine whether the network can meet the transmission requirements of specific streaming media; separate audio and video transmission increases the Additional overhead, which complicates matters when streaming from multiple sources

[0009] In addition, the existing language SMIL (Synchronized Multimedia Integration Language, Synchronized Multimedia Integration Language) for describing multi-source streaming media focuses on describing the presentation information of multi-channel streaming media, and lacks the description of multi-source streaming media QoS control information

Current network bandwidth test methods, such as Pathchar algorithm or packet pair algorithm, all detect available bandwidth by inputting data into the network. This type of active data input method will affect the test results, especially in high-speed network environments. There will be a large deviation

In addition, such methods can only obtain the current maximum available bandwidth of the network, but cannot obtain the packet loss rate

The current bandwidth allocation method is mainly aimed at a single media stream, and cannot coordinate network bandwidth allocation for concurrently transmitted multiple media streams according to the type of media stream and QoS requirements

In addition, the existing bandwidth allocation method is based on the maximum available bandwidth, without considering the packet loss rate under this bandwidth

[0010] Therefore, when performing streaming media transmission, especially multi-source streaming media transmission, the existing technology cannot solve the problem of accurately detecting the available bandwidth of the network in various regions and dynamically monitoring the transmission bandwidth of multi-source streaming media when the available network bandwidth changes at any time. The problem of optimizing distribution, which limits the quality of service of streaming media transmission to some extent

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