CC* Storage: EnviStor: A Repository for Supporting Collaborative Interdisciplinary Research on South Florida's Built and Natural Environments

CC* 存储:EnviStor:支持南佛罗里达州建筑和自然环境跨学科协作研究的存储库

基本信息

  • 批准号:
    2322308
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 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:
    2023-09-01 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

The South Florida region is home to nearly 10 million people, and the population is growing. The region faces several challenges, such as rising sea levels and flooding, harmful algae blooms, water contamination, and wildlife habit loss, which affects the economy and the welfare of its population. Florida International University (FIU) will build EnviStor, which aims to be a centrally managed Petabyte scale storage system that is also a clearing house for supporting interdisciplinary research and modeling involving both built and natural environments in South Florida. EnviStor provides opportunities for students (75% of whom coming from underrepresented groups in STEM) and faculty to enhance their knowledge of database management, focusing on interoperability. EnviStor facilitates inter and intra-campus capabilities, augmenting the current FIU storage capabilities from the Terabyte to the Petabyte scale through a low-latency, high-performance, and cost-effective architecture to facilitate the creation of science data products. Data backups will be sent to the cloud, ensuring data preservation. In addition, the architecture will include interfaces that facilitate the sharing of datasets at intra- and inter-campus levels. EnviStor will share 20% of its storage resources by federating with the OSDF (Open Science Data Federation) and leveraging FIU’s Dataverse repository. This effort is also supported by National Discovery Cloud for Climate (NDC-C) resources.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.
南佛罗里达地区是近1000万人的家园,人口还在增长。 该地区面临着一些挑战,如海平面上升和洪水、有害藻类大量繁殖、水污染和野生动物习性丧失,这些都影响到经济和人口福利。佛罗里达国际大学(FIU)将建立Environs,该系统旨在成为一个集中管理的PB级存储系统,也是一个信息交换所,用于支持涉及南佛罗里达建筑和自然环境的跨学科研究和建模。Envietion为学生(其中75%来自STEM中代表性不足的群体)和教师提供了机会,以提高他们对数据库管理的知识,重点是互操作性。 Environs促进了校园间和校园内的能力,通过低延迟,高性能和经济高效的架构将当前的FIU存储能力从TB扩展到PB规模,以促进科学数据产品的创建。数据备份将被发送到云端,以确保数据保存。此外,该架构将包括便利在园区内和园区间共享数据集的接口。Envival将通过与OSDF(开放科学数据联合会)联合并利用FIU的Dataverse存储库来共享其20%的存储资源。 这项工作也得到了国家探索云气候(NDC-C)资源的支持。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值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

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Leonardo Bobadilla其他文献

Characterizing and Predicting Catalytic Residues in Enzyme Active Sites Based on Local Properties: A Machine Learning Approach
基于局部特性表征和预测酶活性位点中的催化残基:一种机器学习方法
An Automated Methodology for Worker Path Generation and Safety Assessment in Construction Projects
建筑项目中工人路径生成和安全评估的自动化方法
A meta-analytic review of the relationship between empathy and oxytocin: Implications for application in psychopathy research
关于共情与催产素关系的元分析综述:对精神病学研究应用的启示
  • DOI:
    10.1016/j.avb.2023.101828
  • 发表时间:
    2023-05-01
  • 期刊:
  • 影响因子:
    3.400
  • 作者:
    Nicole Stark;Leonardo Bobadilla;Paul Michael;Sarina Saturn;Matt Portner
  • 通讯作者:
    Matt Portner
Minimalist multiple target tracking using directional sensor beams
使用定向传感器光束进行极简多目标跟踪
Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles
远程自主水下航行器的反馈运动规划
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Opeyemi S. Orioke;Tauhidul Alam;J. Quinn;Ramneek Kaur;Wesam H. Alsabban;Leonardo Bobadilla;Ryan N. Smith
  • 通讯作者:
    Ryan N. Smith

Leonardo Bobadilla的其他文献

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{{ truncateString('Leonardo Bobadilla', 18)}}的其他基金

NRI: FND: Extending Autonomy in Seemingly Sensory-Denied Environments Applied to Underwater Robots
NRI:FND:在看似无感知的环境中扩展自主性,应用于水下机器人
  • 批准号:
    2024733
  • 财政年份:
    2020
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: Foundations of Secure Multi-Robot Computation
协作研究:EAGER:安全多机器人计算的基础
  • 批准号:
    2034123
  • 财政年份:
    2020
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

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    省市级项目

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