课题基金 / 基金详情

CAREER: Network Economics: Theory and Architectures for Incentive-engineered Networks

CAREER: Network Economics: Theory and Architectures for Incentive-engineered Networks
职业:网络经济学:激励工程网络的理论和架构
批准号:
0954116
负责人:
Rahul Jain
金额:
$42.5万
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
项目状态:
已结题
起止时间:
2010-02-01 至 2017-01-31

项目摘要

项目成果

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中文摘要
翻译
下一代网络被设想为非常大规模、高度复杂的系统,在不同的环境中处理不同的流量,是真正的分布式的,并且具有更大的容量、可靠性和能力。这些属性可以通过部署复杂的数学技术来实现,这些技术需要经常具有经济利益的各种独立实体之间的合作行为。然而,这种合作在实践中可能很难实现,从而导致性能不佳。在这个项目中,我们正在开发一种系统的网络激励和合作基础理论,以帮助系统地进行网络架构设计,以实现更大的容量、更高效的运营和更高的可靠性。我们正在开发的激励工程网络的理论、机制和体系结构结合了数学经济学、博弈论、信息论和排队论的思想。该项目将通过带动网络经济这一新兴领域的发展,对科技和教育的发展产生重大而广泛的影响,并对提高通信、交通、配电和民用基础设施网络的效率和可靠性具有广泛的相关性。该项目正在开发一种用于互联网上经济知情资源分配的新的网络市场设计框架,用于协作频谱共享的非合作多用户通信理论,以及一种用于在互联网上提供服务质量的新的激励的服务质量网络体系结构。这些都有可能改变现有的无线和通信网络。所进行的研究应通过PI编写的关于网络经济和游戏的教程、课堂教学和高中推广计划来传播。
英文摘要
The next generation networks are envisaged to be very large-scale, highly complex systems that handle heterogeneous traffic in diverse environments, are truly distributed and have even greater capacity, reliability and capability. These attributes can be achieved by deploying sophisticated mathematical techniques that require cooperative behavior among the various independent entities that often have economic interests. Such cooperation however, can be hard to achieve in practice leading to suboptimal performance. In this project, we are developing a systematic and foundational theory of network incentives and cooperation that aids in methodical network architecture design for vastly greater capacity, more efficient operation and improved reliability. The theory, mechanisms and architectures for incentive engineered networks that we are developing combine ideas from mathematical economics, game theory, information and queueing theories. The project will have substantial broader impact on the development of science, technology and education by leading to development of the emerging field of network economics, and has broad relevance in improving the efficiency and reliability of networks for communication, transportation, electrical power distribution, and civil infrastructure. The project is developing a new framework of network market design for economics-informed resource allocation on the Internet, non-cooperative multi-user communication theory for cooperative spectrum sharing, and a new incentivized QoS network architecture for QoS provisioning on the Internet. These have the potential to transform existing wireless and communication networks. Conducted research shall be disseminated through a tutorial on networks economic and games that the PI is writing, through classroom teaching and a high school outreach program.
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EAGER: Real-Time: Formal Reinforcement Learning Methods for the Design of Safety-critical Autonomous Systems
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国内基金
海外基金
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  • 项目类别:
    重大研究计划
  • 资助金额:
    170.0万元
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  • 负责人:
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基于Wireless Mesh Network的分布式操作系统研究
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