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首页> 外文期刊>International journal of soft computing >Dynamic Adaptive Streaming Over HTTP (DASH)-Comprehensive Study and Rate Adaptation Performance Analysis
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Dynamic Adaptive Streaming Over HTTP (DASH)-Comprehensive Study and Rate Adaptation Performance Analysis

机译:HTTP(DASH)上的动态自适应流-综合研究和速率自适应性能分析

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摘要

Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. With the revolution of internet and increasing bandwidth support, streaming usage grows more and more. Conventional Streaming Delivery Method widely uses Real-Time Transport Protocol (RTP) over User Datagram Protocol (UDP) and Hypertext Transport Protocol (HTTP), Real time Messaging Protocol (RTMP) over Transport Control Protocol (TCP). The quality of service is a major concern in the increasing network traffic and high user demand. An adaptive HTTP streaming is the emerging technique provides advancement in terms of quality and user experience compare to the traditional streaming techniques. It dynamically selects the media bit rate based on the network variation and processing capability to ensure the best quality of service to the consumer. In this study, researchers focus on end to end study of MPEG Dynamic Adaptive Streaming over HTTP (DASH) Method with gstreamer streaming client. The rate adaptation behavior of the DASH Model experimentally evaluated with internet, test bed environment under different network conditions and the results are analyzed.
机译:流使用户可以随时随地随时随地查看实时多媒体内容。随着互联网的革命和带宽支持的增加,流媒体的使用越来越多。常规的流传输方法广泛使用基于用户数据报协议(UDP)的实时传输协议(RTP)和基于超文本传输​​协议(HTTP)的基于传输控制协议(TCP)的实时消息协议(RTMP)。服务质量是不断增长的网络流量和高用户需求中的主要问题。自适应HTTP流是新兴技术,与传统流技术相比,该技术在质量和用户体验方面都取得了进步。它根据网络变化和处理能力动态选择媒体比特率,以确保为消费者提供最佳服务质量。在这项研究中,研究人员专注于端到端使用gstreamer流客户端进行基于HTTP的MPEG动态自适应流(DASH)方法的研究。在不同的网络条件下,通过互联网,测试平台环境实验评估了DASH模型的速率适应行为,并对结果进行了分析。

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