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NetSE: Small: Connections Over Multiple Network Paths via Delay Mitigating Codes

NetSE: Small: Connections Over Multiple Network Paths via Delay Mitigating Codes
NetSE:小型:通过延迟缓解代码在多个网络路径上进行连接
批准号:
1016588
负责人:
John Walsh
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2014-08-31

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中文摘要
翻译
为了提高安全性、数据速率和可靠性,未来的通信网络将整合沿多条同时路径将编码数据路由到目的地的能力。通过这些未来网络的数据的很大一部分将与延迟敏感应用程序相关联。这些应用包括流视频、视频和远程会议,以及网络上的远程控制,所有这些都将是未来其他重要应用(如远程呈现和远程医疗)所必需的。然而,对于延迟敏感的应用程序来说,由于随机变化的延迟和到达目的地的信息包顺序紊乱,在多条路径上路由数据时存在一个重大障碍。本研究从基本原理到网络测试平台的实现和测试,再到人机交互测试,解决了延迟不容应用与多路径路由和编码网络的匹配问题。通过直播费城管弦乐在德雷塞尔大学的音乐会,公众对直播技术和正在进行的工作的认识将得到加强。将对延迟敏感的应用程序与尽最大努力的多路径路由网络体系结构相匹配的问题涉及到一个明确的基本权衡:在网络数据包重新排序、延迟和丢失的情况下保证解码延迟所需的冗余是以降低应用程序数据速率为代价的。本项目使用信息理论研究了所有端到端编码方案的基本权衡。开发的模型和延迟缓解代码传输协议将在测试的网络上进行评估,并且通过教育交互式web工具测量运行在开发的传输协议上的应用程序提供的感知性能。
英文摘要
Future communication networks will incorporate capabilities for routing encoded data to its destination along multiple simultaneous paths, in order to increase security, data rate, and reliability. A significant fraction of the data traversing these future networks will be associated with delay sensitive applications. Such applications include streaming video, video and teleconferencing, and remote control over a network, all of which will be required for other important future applications such as telepresence and telemedicine. There is a significant hurdle, however, in routing data for delay sensitive applications over several paths due to randomly varying delays, and packets of information arriving out of order at the destination. This research solves the important problem of matching delay intolerant applications to best effort multi-path routed and coded networks all the way from a fundamental perspective to implementation and testing on a network testbed to human interaction testing. The public awareness of live streaming technology and the work being performed will be enhanced through live streaming Philadelphia Orchestral concerts at Drexel University.The problem of matching delay sensitive applications to best effort multipath routed network architectures involves a clear fundamental tradeoff: the redundancy required to guarantee a decoding delay in spite of network packet reordering, delay, and loss comes at the cost of a reduced application data rate. This project investigates this fundamental tradeoff over all end-to-end coding schemes using information theory. The developed models and delay mitigating code transport protocol will be evaluated on a network tested, and the perceptual performance provided by applications running over the developed transport protocol are measured via an educational interactive web tool.
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