RAPID: Collaborative Research: Cloud Environmental Analysis and Relief

RAPID：协作研究：云环境分析与缓解

• 批准号: 1047753
• 负责人: Christopher White
• 金额: $ 6.52万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1047753&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Cloud; Environmental

This Rapid Response Research (RAPID) project is developing technology for ubiquitous event reporting and data gathering on the 2010 oil spill in the Gulf of Mexico and its ecological impacts. Traditional applications for monitoring disasters have relied on specialized, tightly-coupled, and expensive hardware and software platforms to capture, aggregate, and disseminate information on affected areas. We lack science and technology for rapid and dependable integration of computing and communication technology into natural and engineered physical systems, cyber-physical systems (CPS). The tragic Gulf oil spill of 2010 presents both a compelling need to fill this gap in research and a critical opportunity to help in relief efforts by deploying cutting-edge CPS research in the field. In particular, this CPS research is developing a cloud-supported mobile CPS application enabling community members to contribute as citizen scientists through sensor deployments and direct recording of events and ecological impacts of the Gulf oil spill, such as fish and bird kills. The project exploits the availability of smartphones (with sophisticated sensor packages, high-level programming APIs, and multiple network connectivity options) and cloud computing infrastructures that enable collecting and aggregating data from mobile applications. The goal is to develop a scientific basis for managing the quality-of-service (QoS), user coordination, sensor data dissemination, and validation issues that arise in mobile CPS disaster monitoring applications. The research will have many important broader impacts related to the Gulf oil spill disaster relief efforts, including providing help for the affected Gulf communities as they field and evaluate next-generation CPS research and build a sustained capability for capturing large snapshots of the ecological impact of the Gulf oil spill. The resulting environmental data will have lasting value for evaluating the consequences of the spill in multiple research fields, but especially in Marine Biology. The project is collaborating with Gulf area K-12 schools to integrate disaster and ecology monitoring activities into their curricula. The technologies developed (resource optimization techniques, data reporting protocol trade-off analysis, and empirical evaluation of social network coordination strategies for an open data environment) will provide a resource for the CPS research community. It is expected that project results will enable future efforts to create and validate CPS disaster response systems that can scale to hundreds of thousands of users and operate effectively in life-critical situations with scarce network and computing resources.

这项快速响应研究（快速）项目正在开发有关墨西哥湾2010年漏油事件及其生态影响的无处不在事件报告和数据收集的技术。 监测灾难的传统应用程序依赖于专业，紧密耦合且昂贵的硬件和软件平台来捕获，汇总和传播有关受影响区域的信息。 我们缺乏科学和技术，无法将计算和通信技术的快速整合到自然和工程物理系统，网络物理系统（CPS）中。 2010年的悲惨海湾漏油事件提出了填补这一研究空白的迫切需求，也是通过在该领域部署尖端的CPS研究来帮助救济工作的关键机会。特别是，这项CPS研究正在开发云支持的移动CPS应用程序，使社区成员能够通过传感器部署并直接记录事件和墨西哥湾溢油的生态影响，例如鱼类和鸟类杀死。该项目利用智能手机的可用性（具有复杂的传感器软件包，高级编程API和多个网络连接选项）和云计算基础架构，这些基础架构可以从移动应用程序中收集和汇总数据。 目的是开发科学基础来管理服务质量（QoS），用户协调，传感器数据传播以及移动CPS灾难监控应用程序中出现的验证问题。 这项研究将对海湾石油泄漏救灾工作产生许多重要的广泛影响，包括为受影响的海湾社区提供帮助，并评估下一代CPS研究，并建立了持续的能力，可以捕获墨西哥湾油泄漏的生态影响的大型快照。 由此产生的环境数据将具有持久的价值，以评估多个研究领域的泄漏的后果，尤其是在海洋生物学中。该项目正在与海湾地区K-12学校合作，以将灾难和生态监测活动整合到其课程中。 开发的技术（资源优化技术，数据报告协议权衡分析以及对开放数据环境的社交网络协调策略的经验评估）将为CPS研究社区提供资源。 可以预期，项目结果将使未来的努力创建和验证CPS灾难响应系统，该系统可以扩展到数十万用户，并在稀缺的网络和计算资源的情况下在关键的生活环境中有效运作。