RCN: SAVI: Adaptive Management and Use of Resilient Infrastructures in Smart Cities: Support for Global Collaborative Research on Real-Time Analytics of Heterogeneous Big Data

城市通过共享的民用基础设施，如交通和医疗保健，提供随时和高效的设施和便利设施。要使这样的关键基础设施对突然的变化具有弹性，例如由大规模灾难造成的变化，需要仔细管理有限和不同的资源。来自物理传感器和社交媒体的实时快速增长的大数据表明，信息技术面临着前所未有的机遇，能够提高自适应资源管理技术的效率和效力，以应对关键基础设施供需的急剧变化。在弹性基础设施和大数据的一般领域内，该项目将重点关注异类大数据和实时分析的集成，这些分析将在关键基础设施承受压力时改进资源的适应性管理。集成不同的数据源是至关重要的，因为许多类型的物理传感器和社交媒体提供了关于各种关键基础设施的有用信息，特别是在它们处于压力之下的时候。这一研究协调网络(RCN)将推动会议和活动，以刺激和支持关于集成不同物理传感器数据和社交媒体进行实时大数据分析的新研究，以支持智能城市中的交通和医疗保健等弹性关键基础设施。作为第一个例子，RCN将支持参加CPSWeek(每年4月)关于智能城市中的网络物理系统的早期职业调查人员研讨会(ECI-CPS)的年轻教师以及参加网络物理系统的大数据分析研讨会(BDACPS)的年轻教师。作为第二个例子，RCN将支持在IEEE大数据大会上为弹性基础设施的大数据分析特别轨道提供支持。第三个例子是，RCN将支持其他国家组织的国际会议，例如日本科学技术厅(JST)的日本大数据计划。该项目还将维护一个研究资源库。具体地说，区域协调中心将积极收集和提供公共数据集(例如，物理和社会传感器数据)和软件工具(例如，支持实时大数据分析)。RCN支持的研究产生的技术和工具将应用于对社会和经济有影响的领域，如减少智能城市的拥堵和个性化医疗保健。

Cities provide ready and efficient access to facilities and amenities through shared civil infrastructures such as transportation and healthcare. Making such critical infrastructures resilient to sudden changes, e.g., caused by large-scale disasters, requires careful management of limited and varying resources. The rapidly growing big data from both physical sensors and social media in real-time suggest an unprecedented opportunity for information technology to enable increasing efficiency and effectiveness of adaptive resource management techniques in response to sharp changes in supply and/or demand on critical infrastructures. Within the general areas of resilient infrastructures and big data, this project will focus on the integration of heterogeneous Big Data and real-time analytics that will improve the adaptive management of resources when critical infrastructures are under stress. The integration of heterogeneous data sources is essential because many kinds of physical sensors and social media provide useful information on various critical infrastructures, particularly when they are under stress. This Research Coordination Network (RCN) will promote meetings and activities that stimulate and enable new research on integration of heterogeneous physical sensor data and social media for real-time big data analytics in support of resilient critical infrastructures such as transportation and healthcare in smart cities. As first example, the RCN will support participation from young faculty attending the Early Career Investigators' Workshop on Cyber-Physical Systems in Smart Cities (ECI-CPS) at CPSweek (April of each year) and young faculty attending the Workshop on Big Data Analytics for Cyber-physical Systems (BDACPS). As a second example, the RCN will support contributions to a Special Track on Big Data Analytics for Resilient Infrastructures at the IEEE Big Data Congress. As a third example, the RCN will support participation in International meetings organized by other countries, e.g., Japan's Big Data program by Japan Science and Technology Agency (JST). The project will also maintain a repository of research resources. Concretely, the RCN will actively collect and make readily available public data sets (e.g., physical and social sensor data) and software tools (e.g., to support real-time big data analytics). The technologies and tools that arise from RCN-enabled research will be applied to socially and economically impactful areas such as reducing congestion and personalized healthcare in smart cities.