EAGER: SPRITE: Sensor Processing and Realtime Intelligence at The Edge - Supporting the National Discovery Cloud for Climate with Advanced Networking, Cloud, and Edge Computing

EAGER：SPRITE：边缘传感器处理和实时智能 - 通过先进的网络、云和边缘计算支持国家气候发现云

• 批准号: 2335335
• 负责人: Michael Zink
• 金额: $ 30万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335335&HistoricalAwards=false
• 关键词: EAGER; SPRITE; Sensor; Processing; Realtime; EAGER; SPRITE; Sensor; Processing; Realtime

Climate research holds immense significance due to its direct impact on various aspects of our lives and the environment. As a result, there has been a consistent rise in the deployment of atmospheric sensors (e.g., weather radars, satellites, etc.), leading to a substantial increase in data volumes that need to be efficiently distributed to the cloud. This project will investigate the implementation of distributed machine learning for climate modeling and weather forecasting. The goal of this project is to better support climate researchers with scientific workflows that will enable them to develop better weather warning and forecast systems.The project's objective is to investigate the federation of current computing, data, and networking resources in order to streamline the development of scientific workflows for climate and atmospheric science researchers. The ultimate goal of SPRITE is to contribute to the design of a National Discovery Cloud for Climate (NDC-C), with the overarching purpose of advancing climate-related science and engineering. The proposed research will leverage existing testbeds, including the CASA radar network located in the Dallas/Fort Worth Metroplex, as well as several NSF-supported testbeds such as CloudLab, Chameleon Cloud, Open Cloud Testbed, Open Storage Network, and FABRIC. To accomplish these goals, real atmospheric observations obtained from the CASA testbed and National Weather Service radars will be utilized.Severe weather and changes in climate have a global impact which is manifested through extreme droughts and forest fires, extreme rainfall events and catastrophic flooding, and severe tropical and convective storms. Better warning systems that are based on climate and atmospheric science are required to protect lives and property and limit the impact on our economy. While it is our goal to support the development of NDC-C, we will also use our long-standing collaborations with key entities such as the National Weather Service, remote sensing industry, as well as national laboratories like the National Center for Atmospheric Research (NCAR) to share our results and make them broadly applicable.Project outcomes will be made publicly available on the Paros Center for Atmospheric Research website at https://www.umass.edu/paros-atmospheric-center/. The proposal team is committed to preserving the project website for at least three years after the completion of funding. In addition, scholarly materials will be archived at ScholarWorks@UMass Amherst which is administered by the UMass Amherst libraries.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.

气候研究对我们生活和环境的各个方面的直接影响，具有巨大的意义。结果，大气传感器的部署（例如，天气雷达，卫星等）的部署始终增加，导致数据量大幅增加，需要有效地分配到云中。该项目将调查用于气候建模和天气预报的分布式机器学习的实施。该项目的目的是更好地支持气候研究人员使用科学工作流，这将使他们能够开发出更好的天气警告和预测系统。该项目的目标是调查当前计算，数据和网络资源的联合会，以简化为气候和大气科学研究人员开发科学工作流程。 Sprite的最终目标是为气候云（NDC-C）的设计做出贡献，其总体目的是推进与气候相关的科学和工程。拟议的研究将利用现有的测试床，包括位于达拉斯/沃思堡Metroplex的CASA雷达网络，以及几个NSF支持的测试台，例如Cloudlab，Chameleon Cloud，开放式云测试床，开放式存储网络和面料。为了实现这些目标，将利用从CASA测试床和国家气象服务雷达中获得的真实大气观察。种种气候和气候变化具有全球影响，这是通过极端干旱和森林大火，极端降雨事件和灾难性的洪水以及严重的热带风暴和对话性风暴所表现出来的。需要基于气候和大气科学的更好的警告系统来保护生活和财产，并限制对我们经济的影响。虽然我们的目标是支持NDC-C的发展，但我们还将使用与重要实体（例如国家气象服务，遥感行业，诸如国家大气研究中心（NCAR）（NCAR））等重要实体进行的长期合作，并分享我们的结果并使其广泛适用。 https://www.umass.edu/paros-atmospheric-center/。提案团队致力于保留项目网站至少在资金完成后三年。此外，学术材料将在由UMass Amherst图书馆管理的Scholarworks@Umass Amherst上存档。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛影响的评估评估的评估值得支持的。