MRI: Acquisition of Equipment to Support Collaborative, Multi-Disciplinary Research and Development of Reliable Software

该项目来自MSI，在协作环境中开发可靠的软件，要求基础设施：创建可靠且可维护的软件，通过GEON网格将地球科学数据集连接并传播给地球科学界。开发、应用和传播旨在提高软件和数据的完整性和可靠性的技术，并教育和培训软件工程师，特别是那些能够加入劳动力队伍并为多学科项目做出贡献的未被充分代表的人群。该项目涉及一个网络，包含两台服务器和一组工作站。第一个服务器包含开发和验证软件所需的测试平台数据，以传输和处理来自不同来源的地理空间数据。第二台服务器提供处理大型数据集所需的计算吞吐量，并作为GEON网格上实验节点的骨干。该设备支持地理空间网络（GeoNet）和数据验证、分析和可视化工具集的开发。该实验室还将在GEON网格上放置一个实验节点。还需要具有多色和触敏绘图工具的交互式白板。这些板很容易与协作者可用的软件接口，并促进远程协作。该项目的目标是协作亲和研究实验室（CARL）的仪器仪表，提供可配置的协作环境，并支持本地、远程、同步和异步协作。该大学将继续利用基础设施，利用他们的亲和力研究模型来增强多样性。因此，学生将受益。

This project from an MSI, developing reliable software in a collaborative setting, requests infrastructure to:Create reliable and maintainable software that connects and disseminates geoscience data sets to the Earth Science community through the GEON grid.Develop, apply, and disseminate techniques aimed at improving the integrity and reliability of software and data, andEducate and train software engineers, particularly those from underrepresented populations who are able to join the workforce and contribute to multidisciplinary projects.The project involves a network, containing two servers and a set of workstations. The first server contains the testbed data necessary for the development and verification of software to transfer and process geospatial data from disparate sources. The second server provides the computing throughput necessary to process large data sets and serves as the backbone of the experimental node on the GEON grid. The equipment supports development of the Geospatial Network (GeoNet) and a toolset for data validation, analysis, and visualization. The lab will also house an experimental node on the GEON Grid.SMART Board Interactive Whiteboards with multicolor and touch-sensitive drawing tools are also requested. These boards interface easily with software available to collaborators and facilitate distance collaborations. The project targets the instrumentation of the Collaborative Affinity Research Laboratory (CARL), providing a collaborative environment that is configurable, and that supports local, remote, synchronous, and asynchronous collaborations. The university will continue using the infrastructure to enhance diversity utilizing their Affinity Research model. Thus, students will benefit.