项目名称: 以内容为中心网络的自适应流媒体传输机制研究
项目编号: No.61502393
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 褚伟波
作者单位: 西北工业大学
项目金额: 20万元
中文摘要: 基于HTTP协议的自适应流媒体传输技术(DASH)是当前互联网中传输视频等多媒体内容的最新技术。通过将视频编码成不同码率的单元,并实时监控网络带宽调整视频质量,DASH在理论上可以实现视频编码速率和网络状况的准确匹配,从而给用户提供高质量的视频播放体验。然而,自适应流媒体传输技术在下一代互联网中的研究工作却非常匮乏。本项目将围绕CCN网络(以内容为中心网络)的自适应流媒体传输机制,在相关理论和技术层面开展研究。由于网络中间节点缓存和用户设备支持多接口访问等特性,在CCN网络中支持自适应流媒体传输面临着众多的挑战。本项目拟在三个方面对CCN网络的自适应流媒体传输机制进行研究:(1)客户端准确、可靠的网络带宽测量方法;(2)CCN网络的流媒体视频传输控制模型;(3)CCN网络的自适应流媒体传输测量指标体系和评价方法。项目的研究成果对于下一代互联网,特别是CCN网络的流媒体传输具有重要意义。
中文关键词: 自适应流媒体传输;以内容为中心网络;网络带宽测量方法;视频传输控制模型;流媒体传输性能评价
英文摘要: Dynamic adaptive streaming over HTTP (DASH) has been recently ratified as Internet standard for supporting multimedia streaming over the Internet. DASH is able to dynamically adapt video bitrate based on the client’s available network bandwidth and thus it greatly improves end users’ Quality of Experience (QoE). However, the performance and effectiveness of this new streaming mechanism in the next-generation network has not been fully explored. This project focuses on dynamic adaptive streaming in the context of content-centric networking (CCN), which is a promising next-generation Internet architecture. Due to the inherent in-network caching and data transmission over multiple heterogeneous interfaces on the custom devices, realizing effective dynamic adaptive streaming over CCN (DASC) is a rather new challenging problem. In this project, we will focus on adaptive streaming over CCN on three aspects, including: (1) propose accurate and robust client-side network bandwidth estimation schemes; (2) propose models for effective rate adaptation in media streaming; and (3) propose testbed and performance metrics for the evaluation of dynamic adaptive streaming mechanisms over CCN. The project will serve as a cornerstone to broaden the research area of dynamic adaptive streaming and offer effective tools for multimedia streaming in the context of next-generation network.
英文关键词: dynamic adaptive streaming;content-centric networking;network bandwidth estimation;rate adaptation;performance evaluation