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组提供混合云基础设施，以支持现有高性能和高吞吐量计算基础设施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，以充分利用已部署的本地硬件，同时使用其他闲置的计算能力。混合云系统为研究人员提供了一个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。这一新能力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。支持的主要重点研究领域是地球科学、水文建模、自然语言处理、机器学习和地球分析。落基山高级计算联盟(RMACC)的成员可以访问所提供的云资源的20%，重点放在较小的机构。这种混合云提供：来自库或由研究人员定制的虚拟机；容器的执行和协调；无服务器计算；以及持久科学网关和其他科学服务的托管。该项目通过重复使用有关集装箱化的培训材料并利用在焦点小组和一对一咨询期间建立的关系，充分利用了美国国家科学基金会颁发的#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”奖。该奖项反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.