CRISP 2.0 Type 1: Collaborative Research: Distributed Edge Computing to Improve Resilience of Interdependent Systems
CRISP 2.0 类型 1:协作研究:分布式边缘计算以提高相互依赖系统的弹性
基本信息
- 批准号:1832688
- 负责人:
- 金额:$ 35.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) research advances the body of knowledge on interdependent infrastructure resilience of systems through utilizing distributed assets to minimize cascading failures under extreme events. It is hypothesized that the domino effect of service disruptions is rooted in the vulnerability of the backbone-versus-edge relationship among the systems. For example, a backbone component in one system, such as natural gas-fueled power plants, is only at the end of the supply chain of natural gas (termed as the edge). Consequently, a backbone failure in one system (such as natural gas pipeline outage) can create the domino effect of failures through the entire interdependent systems. One way to alleviate this backbone-vs-edge tension is to bring assets to the edge (referred to as distributed resources), hence releasing the reliance of one infrastructure system on the others. This research will establish a new framework to effectively coordinate among the distributed resources, without requiring centralized coordination. Such a framework will be tested under various hazards including urban droughts, hurricanes and earthquakes. In addition, economic benefits of the added resilience will be quantified to help policy makers with more efficient solutions for improving resilience without sacrificing economic growth. The research will be widely disseminated to scientific communities and public via publishing in scientific outlets as well as leveraging press releases and media tools. Moreover, this research-integrated program and commitment to enhanced diversity promises to inspire underrepresented groups in STEM, and train the next generation of interdisciplinary scholars.To effectively control distributed resources across multiple interdependent systems, a novel distributed optimization algorithm will be established. Most of the existing distributed optimization algorithms cannot deal with complicated (and possibly non-convex) network constraints. To bridge this knowledge gap, there is an algorithm which leverages successive convex approximation, coupled with suitably designed message passing protocols, to allow an optimization problem to be solved in a distributed manner at a large number of computational nodes (i.e., the distributed resources), connected by a network with arbitrary topology and time-varying links. This is particularly useful in modeling outages in physical or communication networks, such as electricity network interruptions. To quantify the benefits of the distributed assets under extreme events, a multi-dimensional resilience quantification framework will be developed to simultaneously characterize multiple performance metrics of systems as opposed to measuring a single performance metric which is the prevalent approach today.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这项关键的弹性相互依赖的基础设施系统和流程(CRISP)研究通过利用分布式资产最大限度地减少极端事件下的级联故障,推动了有关相互依赖的基础设施系统弹性的知识体系。假设服务中断的多米诺骨牌效应植根于系统之间主干与边缘关系的脆弱性。例如,一个系统中的主干组件,如天然气发电厂,只处于天然气供应链的末端(称为边缘)。因此,一个系统中的主干故障(如天然气管道中断)可能会在整个相互依赖的系统中造成故障的多米诺骨牌效应。缓解这种主干与边缘紧张关系的一种方法是将资产带到边缘(称为分布式资源),从而释放一个基础设施系统对其他基础设施系统的依赖。这项研究将建立一个新的框架,在分布式资源之间有效地协调,而不需要集中协调。这样的框架将在包括城市干旱、飓风和地震在内的各种危害下进行测试。此外,增加的韧性的经济效益将被量化,以帮助政策制定者在不牺牲经济增长的情况下,为提高韧性提供更有效的解决方案。这项研究将通过在科学媒体上发表以及利用新闻稿和媒体工具向科学界和公众广泛传播。此外,这一整合研究的计划和对增强多样性的承诺有望激励STEM中代表性不足的群体,并培养下一代跨学科学者。为了有效地控制跨多个相互依赖的系统的分布式资源,将建立一种新的分布式优化算法。现有的大多数分布式优化算法不能处理复杂的(可能是非凸的)网络约束。为了弥合这一知识鸿沟,存在一种算法,该算法利用逐次凸近似,结合适当设计的消息传递协议,允许在由具有任意拓扑和时变链路的网络连接的大量计算节点(即,分布式资源)上以分布式方式解决优化问题。这在对物理或通信网络中的中断(例如电力网络中断)进行建模时特别有用。为了量化极端事件下分布式资产的收益,将开发多维弹性量化框架,以同时表征系统的多个性能指标,而不是目前流行的单一性能指标。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(22)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Finite-Bit Quantization for Distributed Algorithms With Linear Convergence
- DOI:10.1109/tit.2022.3176253
- 发表时间:2021-07
- 期刊:
- 影响因子:2.5
- 作者:Chang-Shen Lee;Nicolò Michelusi;G. Scutari
- 通讯作者:Chang-Shen Lee;Nicolò Michelusi;G. Scutari
ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization
- DOI:10.1109/allerton.2018.8636055
- 发表时间:2018-10
- 期刊:
- 影响因子:0
- 作者:Ye Tian;Ying Sun;G. Scutari
- 通讯作者:Ye Tian;Ying Sun;G. Scutari
The sensitivity of electric power infrastructure resilience to the spatial distribution of disaster impacts
- DOI:10.1016/j.ress.2019.106658
- 发表时间:2019-02
- 期刊:
- 影响因子:0
- 作者:Benjamin A. Rachunok;R. Nateghi
- 通讯作者:Benjamin A. Rachunok;R. Nateghi
Critical Time, Space, and Decision‐Making Agent Considerations in Human‐Centered Interdisciplinary Hurricane‐Related Research
关键时间、空间和决策——以人为中心的跨学科飓风中的代理人考虑因素——相关研究
- DOI:10.1111/risa.13380
- 发表时间:2019
- 期刊:
- 影响因子:3.8
- 作者:Murray‐Tuite, Pamela;Ge, Y. Gurt;Zobel, Christopher;Nateghi, Roshanak;Wang, Haizhong
- 通讯作者:Wang, Haizhong
Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions
- DOI:10.1109/tac.2020.3033490
- 发表时间:2020-10
- 期刊:
- 影响因子:6.8
- 作者:Loris Cannelli;F. Facchinei;G. Scutari;V. Kungurtsev
- 通讯作者:Loris Cannelli;F. Facchinei;G. Scutari;V. Kungurtsev
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Andrew Liu其他文献
Prehospital Naloxone Administration Patterns During the Era of Synthetic Opioids.
合成阿片类药物时代的院前纳洛酮给药模式。
- DOI:
10.1080/10903127.2023.2184886 - 发表时间:
2023 - 期刊:
- 影响因子:2.4
- 作者:
Andrew Liu;Alexander R Nelson;Matthew Shapiro;Jeffrey Boyd;Geneva Whitmore;Daniel Joseph;D. Cone;Katherine C. Couturier - 通讯作者:
Katherine C. Couturier
Protracted ‘Pro-Addictive’ Phenotype Produced in Mice by Pre-Adolescent Phenylpropanolamine
青春期前的苯丙醇胺在小鼠中产生持久的“促成瘾”表型
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:7.6
- 作者:
K. Szumlinski;Andrew Liu;J. Penzner;K. D. Lominac - 通讯作者:
K. D. Lominac
Tachycardia with a left bundle branch block morphology in a patient with arrhythmogenic right ventricular cardiomyopathy: What is the mechanism?
- DOI:
10.1016/j.hrthm.2007.08.009 - 发表时间:
2008-06-01 - 期刊:
- 影响因子:
- 作者:
Andrew Liu;Martin J. Gardner;Magdy N. Basta;John L. Sapp - 通讯作者:
John L. Sapp
Genome-wide association study of diabetic kidney disease highlights biology involved in renal basement membrane collagen
糖尿病肾病的全基因组关联研究强调了肾基底膜胶原蛋白的生物学作用
- DOI:
10.1101/499616 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
R. Salem;Jennifer N. Todd;N. Sandholm;J. Cole;Wei;D. Andrews;M. Pezzolesi;P. McKeigue;L. Hiraki;Chengxiang Qiu;V. Nair;C. Liao;Jingjing Cao;E. Valo;S. Onengut;A. Smiles;S. McGurnaghan;Jani K. Haukka;V. Harjutsalo;E. Brennan;N. V. van Zuydam;E. Ahlqvist;Ross Doyle;T. Ahluwalia;M. Lajer;M. Hughes;Jihwan Park;J. Skupień;A. Spiliopoulou;Andrew Liu;R. Menon;Carine M. Boustany;H. Kang;R. Nelson;R. Klein;B. Klein;Kristine E. Lee;Xiaoyu Gao;M. Mauer;Silvia Maeastroni;M. L. Caramori;I. D. de Boer;Rachel G. Miller;J. Guo;A. Boright;D. Tregouet;B. Gyorgy;J. Snell;D. Maahs;S. Bull;Angelo J. Canty;C. Palmer;L. Stechemesser;B. Paulweber;R. Weitgasser;J. Sokolovska;V. Rovite;V. Pirags;E. Prakapienė;L. Radzevičienė;R. Verkauskienė;N. Panduru;L. Groop;M. McCarthy;H. Gu;A. Möllsten;H. Falhammar;K. Brismar;F. Martin;P. Rossing;T. Costacou;G. Zerbini;M. Marre;S. Hadjadj;A. McKnight;C. Forsblom;G. Mckay;C. Godson;A. Peter Maxwell;M. Kretzler;K. Suszták;H. Colhoun;A. Krolewski;A. Paterson;P. Groop;S. Rich;J. Hirschhorn;J. Florez - 通讯作者:
J. Florez
Indoor Dust Bacterial and Fungal Microbiome in Homes of Asthmatic Children from 5 US Cities
来自美国 5 个城市的哮喘儿童家庭中的室内灰尘细菌和真菌微生物组
- DOI:
10.1016/j.jaci.2021.12.297 - 发表时间:
2022-02-01 - 期刊:
- 影响因子:11.200
- 作者:
Dong-Binh Tran;Kathleen Lee-Sarwar;Erica Sodegren;Andrew Liu;Stanley Szefler;Scott Weiss;Steven Gill;George Weinstock;Augusto Litonjua - 通讯作者:
Augusto Litonjua
Andrew Liu的其他文献
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{{ truncateString('Andrew Liu', 18)}}的其他基金
EAGER: Design of Distribution-Level Electricity Markets: Demarginalization and Decentralized Learning
EAGER:配电级电力市场的设计:去边缘化和去中心化学习
- 批准号:
2129631 - 财政年份:2021
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
Collaborative Research: Biochemical Basis of Cellular Circadian Behavior
合作研究:细胞昼夜节律行为的生化基础
- 批准号:
1854392 - 财政年份:2018
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
Collaborative Research: Biochemical Basis of Cellular Circadian Behavior
合作研究:细胞昼夜节律行为的生化基础
- 批准号:
1656647 - 财政年份:2017
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
CyberSEES: Type 1: Collaborative Research: Sustainability-aware Management of Interdependent Power and Water Systems
CyberSEES:类型 1:协作研究:相互依赖的电力和水系统的可持续性意识管理
- 批准号:
1539462 - 财政年份:2016
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
Collaborative Research: The Next-Generation Electricity Capacity and Transmission Expansion Model with Large-Scale Energy Storage and Renewable Resources
合作研究:大规模储能和可再生资源的下一代电力容量和输电扩展模型
- 批准号:
1234057 - 财政年份:2012
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
Biochemical and Molecular Basis of Circadian Behavior
昼夜节律行为的生化和分子基础
- 批准号:
0920417 - 财政年份:2009
- 资助金额:
$ 35.21万 - 项目类别:
Standard Grant
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