Hybrid- and Multi-Cloud Storage Strategies for Cost-effective Deployment of Data Resources

用于经济高效地部署数据资源的混合云和多云存储策略

• 批准号: 10827612
• 负责人: Yang Chai
• 金额: $ 18.33万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-19 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10827612
• 关键词: Acceleration; Address; Animal Model; Authorization documentation; Award; Cataloging; Chick; Cloud Computing; Cloud Service; Communities; Complex; Cost Analysis; Craniofacial Abnormalities; Craniosynostosis; Data; Data Files; Data Management Resources; Data Set; Data Storage and Retrieval; Dental; Dental Research; Dental caries; Development; Dysmorphology; Elasticity; Enamel Formation; Engineering; Expenditure; FAIR principles; FaceBase; Funding; Funding Opportunities; Genes; Genomics; Goals; Home; Human; Hybrids; Image; Industry; Infrastructure; Institution; International; Internet; Malocclusion; Metadata; Modality; Mus; National Institute of Dental and Craniofacial Research; Oral; Parents; Performance; Price; Privatization; Process; Provider; Research; Research Personnel; Research Project Grants; Resolution; Resources; Retrieval; Scheme; Services; Tooth structure; Translational Research; United States National Institutes of Health; Visualization; Volatilization; Wasabia; Work; X-Ray Computed Tomography; Zebrafish; application programming interface; authority; cloud storage; computational platform; computing resources; cone-beam computed tomography; cost; cost effective; craniofacial; craniofacial development; data repository; data resource; data reuse; database structure; design; diverse data; human subject; improved; middleware; migration; multimodal data; open data; open source; prospective; relational database; repository; service providers; virtual; virtual machine; web services

PROJECT SUMMARY The goal of the FaceBase III Hub, supported by the National Institute for Dental and Craniofacial Research (NIDCR), was to create a data resource to serve the entire community of dental and craniofacial researchers first by sharing diverse data related to craniofacial development and dysmorphology and increasingly dental and translational research, as well as other research that can benefit from the data that is in the FaceBase repository. FaceBase is home to over 1,040 imaging, genomics and other datasets, spanning human, mouse, zebrafish, chick with prospective contributors in other species, and it has seen steady usage worldwide. FaceBase is in the process of migrating from an on-premise infrastructure to the Amazon Web Services (AWS) “cloud” service provider. While the cloud deployment of FaceBase will offer many benefits to the community that it serves, one particular challenge facing FaceBase or any other data resource operated on a commercial cloud is the incremental and unpredictable costs of data storage and downloads. In this project, we propose to explore hybrid- and multi-cloud storage strategies in order to optimize for the most cost-effective storage providers and schemes available. We propose the following specific aims: (1) leverage cost competitive specialized cloud storage service providers to supplement core service deployment on AWS, and (2) explore the usage of on-premises storage resources through a hybrid-cloud strategy to augment further our public cloud infrastructure and seamlessly exploit subsidized low-cost storage infrastructure through our institution. The ultimate goals of the project are to accelerate dental, oral, and craniofacial research and to advance the understanding of cost-effective utilization of cloud resources to benefit potentially any NIH supported data resources. PREVIEW Date: Apr 11, 2023 Workspace ID: WS01078345 Funding Opportunity Number: PA-20-272

项目总结 由国家牙科和颅面研究所支持的FaceBase III中心的目标 研究(NIDCR)，旨在创建一个服务于整个牙科和医疗社区的数据资源 头面部研究人员首先通过分享与头面部发育和 畸形学和越来越多的牙科和翻译研究，以及其他研究 这可以从FaceBase存储库中的数据中受益。FaceBase是Over的家 1,040个成像、基因组和其他数据集，涵盖人类、小鼠、斑马鱼、小鸡和 在其他物种中有潜在的贡献者，它在全球范围内得到了稳定的使用。 FaceBase正在从内部部署的基础设施迁移到Amazon Web 服务(AWS)“云”服务提供商。而FaceBase的云部署将提供 给它所服务的社区带来了许多好处，其中一个特别的挑战是FaceBase或任何 在商业云上操作的其他数据资源是增量和不可预测的成本 数据存储和下载。 在该项目中，我们建议探索混合云和多云存储战略，以便 针对可用的最具成本效益的存储提供商和方案进行优化。我们建议 以下具体目标：(1)利用具有成本竞争力的专业云存储服务提供商 补充AWS上的核心服务部署，以及(2)探索内部部署的使用 通过混合云战略提供存储资源，以进一步增强我们的公共云 基础架构，并通过我们的 机构。 该项目的最终目标是加速牙科、口腔和颅面的研究，并 促进对云资源的经济高效利用的理解，以获得潜在的收益 任何NIH支持的数据资源。 预览日期：2023年4月11日工作空间ID：WS01078345资助机会编号：PA-20-272