Workshop cost and travel grants for Large Complex Network Workshop

大型复杂网络研讨会的研讨会费用和旅费补助

• 批准号: 1241356
• 负责人: Mung Chiang
• 金额: $ 4.9万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-15 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1241356&HistoricalAwards=false
• 关键词: Workshop; cost; travel; grants; Large

This project supports workshop travel and dissemination of workshop results for an upcoming workshop on complex engineered networks. Complex engineered networks are everywhere: power grids, Internet, transportation networks, and others. They are being used more than ever before, and yet our understanding about them remains limited. The Internet, wireless networks, and online social networks have shaped the modern society. Increasingly, critical, engineered, large-scale systems, such as transportation networks, power grids, and oil and gas distribution systems, are being enhanced and optimized by state monitoring and dynamic controls through sensor and cyber mechanisms. These networks have evolved into complex systems with behaviors and characteristics that are beyond the characterizations and predictions possible by the traditional modeling, analysis and design approaches.The workshop will bring together experts from the academia, national laboratories, government, and industries to assess the recent trends, state-of-the-art, and impending challenges in modeling, predicting and controlling the behaviors of these complex networks to gain better performance, efficiency, and robustness. The objectives of the workshop include: - Identify transformative research challenges and directions in the field of large-scale, complex engineered networks and interconnected physical systems of sensors and instruments, such as the power grid and communications networks. - Assess the state-of-the-art, future trends, and important opportunities and challenges in the theory, design, analysis, tools, and applications of complex interconnected systems research in government, industry, and academia. - Identify strategies for inter-agency collaborations at the federal level to enable different communities to carry out joint efforts, leverage ongoing activities, accelerate new discoveries, and enable technology transfers to societal impact in the research field of complex networks and interconnected systems. Broader Impact: Complex systems occupy critical roles in our society but their performance across a full set of operating conditions is usually at best poorly understood. Formal mathematical analysis may give insight into the operation of system components or into the operation of simplified system models, but is seldom capable of exactly modeling actual code. Testing of complex systems often misses unexpected and undesirable behaviors resulting from cross-system interactions. Program module (unit) testing is effective in checking for gross programming errors across a specified set of inputs but often fails for inputs generated by these behaviors. Dynamic whole system behaviors such as oscillations, spreading overloads, and cascading security failures are not discoverable via unit testing. Exhaustive testing is often either not possible or prohibitively expensive in terms of time or resources. Better understanding of how to couple mathematical analysis and testing for the purposes of rapid and rigorous characterization of complex systems would have broad societal impact. The workshop is a joint undertaking between NSF, DoE and AFOSR via the Networking and Information Technology Research and Development (NITRD) Program and the Large Scale Networking (LSN) working subcommittee.

该项目为即将举行的复杂工程网络研讨会提供研讨会差旅和研讨会成果传播方面的支助。 复杂的工程网络无处不在：电网、互联网、交通网络等等。它们比以往任何时候都被使用，但我们对它们的理解仍然有限。互联网、无线网络和在线社交网络塑造了现代社会。越来越多的关键工程大型系统，如运输网络，电网和石油和天然气分配系统，正在通过传感器和网络机制进行状态监测和动态控制来增强和优化。这些网络已经发展成为复杂的系统，其行为和特征超出了传统建模，分析和设计方法的描述和预测。研讨会将汇集来自学术界，国家实验室，政府和行业的专家，以评估建模的最新趋势，最先进的技术和即将到来的挑战，预测和控制这些复杂网络的行为，以获得更好的性能，效率和鲁棒性。该研讨会的目标包括：-确定大规模，复杂的工程网络和传感器和仪器的互连物理系统，如电网和通信网络领域的变革性研究挑战和方向。- 评估政府，工业和学术界复杂互联系统研究的理论，设计，分析，工具和应用中的最新技术，未来趋势以及重要机遇和挑战。- 在联邦一级确定机构间合作的战略，使不同的社区能够开展联合努力，利用正在进行的活动，加速新的发现，并使技术转移到复杂网络和互联系统的研究领域的社会影响。更广泛的影响：复杂系统在我们的社会中扮演着重要的角色，但它们在一整套操作条件下的性能通常知之甚少。 形式化的数学分析可以洞察系统组件的操作或简化系统模型的操作，但很少能够准确地建模实际代码。 复杂系统的测试经常会错过跨系统交互所导致的意外和不期望的行为。 程序模块（单元）测试在检查指定输入集上的严重编程错误时是有效的，但对于由这些行为生成的输入通常会失败。 动态的整个系统行为，如振荡，扩散过载和级联安全故障是不能通过单元测试。 详尽的测试通常要么是不可能的，要么是在时间或资源方面过于昂贵。 更好地理解如何将数学分析和测试结合起来，以快速和严格地表征复杂系统，将产生广泛的社会影响。 该研讨会是NSF，DoE和AFOSR通过网络和信息技术研究与发展（NITRD）计划和大规模网络（LSN）工作小组委员会的联合事业。