CAREER: Next-Generation Peer-to-Peer Streaming: Theory and Design
职业:下一代点对点流媒体:理论与设计
基本信息
- 批准号:0953682
- 负责人:
- 金额:$ 45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-02-01 至 2017-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Peer-to-Peer (P2P) technology has enabled large-scale streaming services on the Internet. The success of the next-generation P2P streaming systems largely hinges on new designs delivering a higher level of efficiency, robustness and incentives. At the same time, the increasing popularity and high-streaming rate of P2P streaming systems have already generated significant traffic stress inside ISPs' networks. The operations of future P2P streaming systems will have significant impact on the stability and efficiency of the global network infrastructure. The PI and his PhD students are developing new theory and design for the next generation P2P streaming systems. They study the service differentiation in P2P streaming to address peer heterogeneity and provide incentives.They derive the minimum delay bounds for realtime P2P streaming and propose streaming algorithms to approach the bounds. They apply the low-delay streaming algorithms to live video streaming and 3D streaming. They develop ISP-friendly P2P streaming design to largely reduce the traffic stress imposed on ISP networks by P2P streaming applications. They also build prototypes for the proposed new designs. The research of this project will lead to open protocols, software and tools, allowing a multitude of developers, researchers, and companies to expand, improve, and evolve the next-generation P2P streaming systems. Important insights and key techniques developed in this project can also be generalized to study data streaming in general distributed systems, such as Content Delivery Networks and distributed data centers.
对等(P2P)技术使得能够在互联网上提供大规模的流媒体服务。下一代P2P流媒体系统的成功在很大程度上取决于提供更高水平的效率、鲁棒性和激励的新设计。与此同时,P2P流媒体系统的日益普及和高流媒体速率已经在ISP的网络内部产生了显著的流量压力。未来P2P流媒体系统的运行将对全球网络基础设施的稳定性和效率产生重大影响。PI和他的博士生正在为下一代P2P流媒体系统开发新的理论和设计。他们研究了P2P流媒体中的服务差异化,以解决对等点的异构性并提供激励,推导了实时P2P流媒体的最小延迟界限,并提出了接近该界限的流媒体算法。他们将低延迟流算法应用于实时视频流和3D流。他们开发了ISP友好的P2P流媒体设计,以大大减少P2P流媒体应用对ISP网络造成的流量压力。他们还为拟议的新设计建造原型。该项目的研究将导致开放的协议,软件和工具,允许众多的开发人员,研究人员和公司扩展,改进和发展下一代P2P流媒体系统。本项目中的重要见解和关键技术也可以推广到研究一般分布式系统中的数据流,如内容分发网络和分布式数据中心。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yong Liu其他文献
CX3CL1/CX3CR1 Axis Plays a Key Role in Ischemia-Induced Oligodendrocyte Injury via p38MAPK Signaling Pathway
CX3CL1/CX3CR1 轴通过 p38MAPK 信号通路在缺血诱导的少突胶质细胞损伤中发挥关键作用
- DOI:
10.1007/s12035-015-9339-3 - 发表时间:
2015-07 - 期刊:
- 影响因子:0
- 作者:
Xiao-Mei Wu;Yong Liu - 通讯作者:
Yong Liu
Media Coverage of Climate Change and Sustainable Product Consumption: Evidence from the Hybrid Vehicle Market
媒体对气候变化和可持续产品消费的报道:来自混合动力汽车市场的证据
- DOI:
10.1177/0022243719865898 - 发表时间:
2019-09 - 期刊:
- 影响因子:6.1
- 作者:
Yubo Chen;Mrinal Ghosh;Yong Liu;Liang Zhao - 通讯作者:
Liang Zhao
Navigation of Chang’E-2 asteroid exploration mission and the minimum distance estimation during its fly-by of Toutatis
嫦娥二号小行星探测任务导航及飞越图塔蒂斯过程中的最小距离估算
- DOI:
10.1016/j.asr.2014.10.005 - 发表时间:
2015 - 期刊:
- 影响因子:2.6
- 作者:
Jianfeng Cao;Yong Liu;Songjie Hu;Lei Liu;Geshi Tang;Yong Huang;Peijia Li - 通讯作者:
Peijia Li
Individualized morphometric similarity predicts body mass index and food approach behavior in school-age children.
个体化的形态测量相似性可以预测学龄儿童的体重指数和食物接近行为。
- DOI:
10.1093/cercor/bhac380 - 发表时间:
2022 - 期刊:
- 影响因子:3.7
- 作者:
Yulin Wang;D. Dong;Ximei Chen;Xiao Gao;Yong Liu;Mingyue Xiao;Cheng Guo;Hong Chen - 通讯作者:
Hong Chen
Different Regional Patterns in Gray Matter-based Age Prediction
基于灰质的年龄预测的不同区域模式
- DOI:
10.1007/s12264-022-01016-3 - 发表时间:
2023 - 期刊:
- 影响因子:5.6
- 作者:
Nianming Zuo;Tianyu Hu;Hao Liu;Jing Sui;Yong Liu;Tianzi Jiang - 通讯作者:
Tianzi Jiang
Yong Liu的其他文献
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{{ truncateString('Yong Liu', 18)}}的其他基金
NeTS: Medium: Object-Centric, View-Adaptive and Progressive Coding and Streaming of Point Cloud Video
NeTS:Medium:以对象为中心、视图自适应和渐进式的点云视频编码和流式传输
- 批准号:
2312839 - 财政年份:2023
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
RINGS: Resilient Edge Networks with Data-driven Model-based Learning
RINGS:具有数据驱动的基于模型学习的弹性边缘网络
- 批准号:
2148309 - 财政年份:2022
- 资助金额:
$ 45万 - 项目类别:
Continuing Grant
NeTS: Small: Dynamic Predictive Streaming of 360 Degree Video
NeTS:小型:360 度视频的动态预测流
- 批准号:
1816500 - 财政年份:2018
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
NeTS:Small:View-Upload Decoupling: A Redesign of Multi-Channel P2P Video Systems
NeTS:Small:查看-上传解耦:多通道 P2P 视频系统的重新设计
- 批准号:
0916734 - 财政年份:2009
- 资助金额:
$ 45万 - 项目类别:
Standard Grant
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