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Collaborative Research: NeTS-NBD: Traffic Engineering in an Uncertain World

Collaborative Research: NeTS-NBD: Traffic Engineering in an Uncertain World
合作研究:NeTS-NBD:不确定世界中的流量工程
批准号:
0627020
负责人:
Yin Zhang
金额:
$49.73万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-01 至 2010-08-31

项目摘要

项目成果

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中文摘要
翻译
互联网已经成为现代社会的关键基础设施,承载着许多关键任务应用程序的流量。因此,互联网骨干网的效率和可靠性具有重大的社会影响。由于不可预测的网络事件和流量变化以及互联网的竞争和分散性质而产生的不确定性是提高互联网效率、可靠性和可用性的主要挑战。该项目开发了有效和新颖的技术,以实现在不确定性存在下高效可靠的交通工程。它的研究包括三个主要的技术组成部分:1)COPE:带惩罚包络的常见情况优化;2) SITE:共生域间流量工程;3) COPE与SITE的集成。它们共同提供了一个完整的交通工程解决方案。更广泛的影响:这项研究显著地推动了交通工程的发展。研究所得的技术和工具集加深了对流量工程的理解,对改善真实IP网络的运营具有重要的实用价值。此外,解决不确定性的技术设计背后的一般原则也适用于交通工程以外的领域。
英文摘要
The Internet has become a critical infrastructure of the modern society, carrying the traffic of many mission-critical applications. As a result, the efficiency and reliability of the backbone networks of the Internet have major societal impacts. Uncertainties, which arise due to unpredictable network events and traffic variations, and the competitive, decentralized nature of the Internet, are major challenges to improve the efficiency, reliability, and availability of the Internet.This project develops effective and novel techniques to enable efficient and reliable traffic engineering in the presence of uncertainties. Its research consists of three major technical components: 1) COPE: Common-case Optimization with Penalty Envelope;2) SITE: Symbiotic Inter-domain Traffic Engineering; and 3) Integration of COPE and SITE. Together, they provide a complete traffic engineering solution.Broader Impacts: The research significantly advances the state of the art in traffic engineering. The techniques and toolkit resulted from the research deepens the understanding of traffic engineering and provides significant practical values in improving real IP network operations. In addition, the general principles behind the technical designs for addressing uncertainties have applications beyond traffic engineering.
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Highly Scalable Algorithms and Solvers for Eigen-Problems: Unconstrained Optimization and Multiple Power Iterations
  • 批准号:
    1418724
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.0万
  • 财政年份:
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  • 负责人:
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  • 资助金额:
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Building Up the Optimization Algorithmic Infrastructure for Data-Driven Knowledge Discovery and Recovery
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  • 资助金额:
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海外基金
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
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