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.

该快速响应研究 (RAPID) 项目正在开发技术，用于对 2010 年墨西哥湾漏油事件及其生态影响进行普遍事件报告和数据收集。 传统的灾害监测应用程序依赖于专门的、紧密耦合的且昂贵的硬件和软件平台来捕获、聚合和传播有关受影响地区的信息。 我们缺乏将计算和通信技术快速可靠地集成到自然和工程物理系统、网络物理系统（CPS）中的科学技术。 2010 年悲惨的海湾漏油事件不仅提出了填补这一研究空白的迫切需要，也提供了通过在现场部署尖端 CPS 研究来帮助救灾工作的重要机会。特别是，这项 CPS 研究正在开发一种云支持的移动 CPS 应用程序，使社区成员能够作为公民科学家通过传感器部署和直接记录海湾漏油事件和生态影响（例如鱼类和鸟类死亡）做出贡献。该项目利用智能手机（具有复杂的传感器包、高级编程 API 和多个网络连接选项）和云计算基础设施的可用性，支持从移动应用程序收集和聚合数据。 目标是为管理移动 CPS 灾害监测应用中出现的服务质量 (QoS)、用户协调、传感器数据传播和验证问题奠定科学基础。 该研究将对海湾漏油救灾工作产生许多重要、更广泛的影响，包括为受影响的海湾社区提供帮助，帮助他们开展和评估下一代 CPS 研究，并建立持续的能力来捕获大规模的生态影响快照。海湾漏油事件。 由此产生的环境数据对于评估多个研究领域的泄漏后果将具有持久的价值，特别是在海洋生物学领域。该项目正在与海湾地区 K-12 学校合作，将灾害和生态监测活动纳入其课程。 所开发的技术（资源优化技术、数据报告协议权衡分析以及开放数据环境下社交网络协调策略的实证评估）将为 CPS 研究社区提供资源。 预计项目成果将有助于未来创建和验证 CPS 灾难响应系统，该系统可以扩展到数十万用户，并在网络和计算资源稀缺的情况下在生命攸关的情况下有效运行。