CC* Compute: A Hybrid Cloud Environment for the Rocky Mountain Advanced Computing Consortium

科罗拉多大学博尔德分校的研究计算小组提供了一种混合云基础架构，以支持现有高性能和高吞吐量计算基础架构目前无法满足的计算、数据和科学网关需求。该系统还集成到开放科学网格（OSG）中，以充分利用部署的内部硬件，使用其他空闲的计算能力。混合云系统为研究人员提供了内部部署和公共云的集成系统视图，以便他们可以选择合适的资源来支持他们的工作。这种新功能减轻了为他们的工作寻找合适的计算工具的负担，使研究人员能够专注于新发现和他们领域的进步。支持研究的主要重点领域是地球科学，水文建模，自然语言处理，机器学习和地球分析。Rocky Mountain Advanced Computing Consortium（RMACC）的成员可以访问20%的云资源，重点关注小型机构。这种混合云提供：来自图书馆或由研究人员定制的虚拟机;容器的执行和编排;无服务器计算;以及持久科学网关和其他科学服务的托管。该项目在很大程度上利用了NSF奖#1659425“CC* 网络团队：创建区域数据和工作流程网络基础设施促进者社区”，方法是重复使用关于集装箱化的培训材料，并利用在焦点小组和一对一会议期间建立的关系，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估，被认为值得支持。影响审查标准。

The Research Computing group at the University of Colorado Boulder provides a hybrid cloud infrastructure to support computing, data, and science gateway needs that are currently not met by the existing high-performance and high-throughput computing infrastructure. The system is also integrated into the Open Science Grid (OSG) to enable full utilization of the deployed on-premise hardware using otherwise idle compute capacity. The hybrid cloud system provides one integrated system view of the on-premise and public cloud to researchers so they can select the right resource to support their work. This new capability eases the burden of finding appropriate computational tools for their work, allowing researchers to focus on new discoveries and the advancement of their fields. Major emphasis areas of the research supported are in the geosciences, hydrological modeling, natural language processing, machine learning, and earth analytics. Members of the Rocky Mountain Advanced Computing Consortium (RMACC) have access to 20% of the provided cloud resources with a focus on smaller institutions.This hybrid cloud provides: virtual machines either from a library or customized by the researcher; execution and orchestration of containers; serverless computing; and hosting for persistent science gateways and other science services. This project heavily leverages the NSF award #1659425 "CC* Cyber Team: Creating a Community of Regional Data and Workflow Cyberinfrastructure Facilitators" by reusing training materials on containerization and capitalizing on relationships established during focus groups and one-on-one consults.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.