TF:SING: Exploring the Fundamental Limits of Cross-Layer Optimization in the Next-Generation Internet

TF:SING：探索下一代互联网跨层优化的基本极限

• 批准号: 0830493
• 负责人: Song Ci
• 金额: $ 17.17万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830493&HistoricalAwards=false
• 关键词: TF; SING; Exploring; Fundamental; Limits

Although there has been a considerable amount of research done by using cross-layer optimization, fundamental understandings on the design limits of cross-layer optimization are still missing. The overarching goal of this project is to fill this knowledge gap. The objectives are to 1) qualitatively characterize multi-scale temporal-spatial behaviors of cross-layer optimization; 2) develop a novel complexity-scalable framework to support cross-layer optimization over heterogeneous network elements with different computation capabilities; and 3) evaluate the proposed framework by using extensive simulations as well as field test based on our existing testbed.The intellectual merits and transformative significance of this project include: 1) to provide a theoretical framework to understand major design tradeoffs in cross-layer design and optimization and 2) to provide a common ground to quantitatively evaluate and compare different cross-layer design schemes. By developing a new theoretical framework to quantitatively analyze design tradeoffs in complex system optimization, the broader impacts of this project are: 1) to benefit wide applications in social networks, economics, physics, and biology, leading to a profound impact on all societal levels and 2) to expand the existing collaborations with industrial partners and enhance the ongoing effort on STEM education. Results, outcomes, software tools, benchmarks, and educational materials will be disseminated through a project?s web site as well as journal and conference publications. The research results of cross-layer optimizations will also be integrated into courses taught in the PI's university.

虽然已经有相当多的研究，通过使用跨层优化，跨层优化的设计限制的基本理解仍然缺乏。本项目的首要目标是填补这一知识空白。目标是：1）定性描述跨层优化的多尺度时空行为; 2）开发一种新型的复杂度可扩展框架，以支持具有不同计算能力的异构网络元素的跨层优化;和3）通过使用广泛的模拟以及基于我们现有的测试平台的现场测试来评估所提出的框架。项目包括：1）提供一个理论框架，以了解跨层设计和优化中的主要设计权衡，2）提供一个共同的基础，以定量评估和比较不同的跨层设计方案。通过开发一个新的理论框架来定量分析复杂系统优化中的设计权衡，该项目的更广泛影响是：1）有利于社交网络，经济学，物理学和生物学的广泛应用，对社会各个层面产生深远影响; 2）扩大与工业合作伙伴的现有合作，并加强STEM教育的持续努力。结果、成果、软件工具、基准和教育材料将通过项目传播？的网站以及期刊和会议出版物。跨层优化的研究成果也将被整合到PI大学的课程中。