课题基金 / 基金详情

NeTS:Small:Dynamic Coupling and Flow-Level Performance in Data Networks: From Theory to Practice

NeTS:Small:Dynamic Coupling and Flow-Level Performance in Data Networks: From Theory to Practice
NeTS:Small:数据网络中的动态耦合和流级性能:从理论到实践
批准号:
0917067
负责人:
Gustavo de Veciana
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2013-07-31

项目摘要

项目成果

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中文摘要
翻译
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。网络用户的最佳努力流的性能,例如,文件传输延迟和网页浏览响应能力,取决于他们随时间分配的资源。当不同的流量负载共享这些资源和/或无线节点的传输能力通过干扰相互依赖时,分配的资源和流量的性能通过流量和干扰动态耦合。本项目研究数据网络中的这种性能耦合,以及它如何影响协议和网络设计。这是一个重要的问题,因为大多数数据网络都具有这些特征,而我们目前没有强大的工具来有效地预测和优化性能。预期的结果包括新的理论,近似值和性能界限,使这些系统的分析也适用于其他领域。预期的结果还包括使用这些工具来调查:(1)支持多路径传输和/或共享无线接入网络的网络的好处和容量分配;(2)对这种性能耦合敏感的改进协议和算法的发展,例如,初步工作表明,通过分解由干扰引起的性能耦合,可以大大改进最先进的基站关联策略。将通过在研究界广泛传播和利用工业伙伴评价实际应用和技术转让机会来确保这项工作的影响。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The performance of network users' best effort flows, e.g., file transfer delays and web browsing responsiveness, depends on the resources they are allocated over time. When varying traffic loads share these resources and/or wireless nodes' transmission capacities depend on each other through interference, the allocated resources and thus flows' performance are coupled through the traffic and interference dynamics. This project investigates such performance coupling in data networks and, in turn, how it affects protocol and network design. This is a significant problem, as most data networks share these characteristics, and we currently have no robust tools to effectively predict and thus optimize performance. Expected results include new theory, approximations and performance bounds enabling the analysis of such systems which are also applicable to other domains. Expected results also include using these tools to investigate: (1) the benefits of, and capacity allocation, in networks supporting multipath transport and/or shared wireless access networks; and (2), the development of improved protocols and algorithms that are sensitive to such performance coupling, e.g., preliminary work suggests the state-of-the-art base station association policies can be substantially improved by factoring the performance coupling resulting form interference. The work's impact will be assured through broad dissemination in the research community, and by leveraging industry partners in evaluating practical applications and technology transfer opportunities.
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Collaborative Research: CNS Core: Medium: Rethinking Multi-User VR - Jointly Optimized Representation, Caching and Transport
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