CiC RDDC: Relational Data Markets in the Cloud

CiC RDDC：云中的关系数据市场

• 批准号: 1047815
• 负责人: Magdalena Balazinska
• 金额: $ 37万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1047815&HistoricalAwards=false
• 关键词: CiC; RDDC; Relational; Data; Markets

Scientists are generating data at an unprecedented scale and rate. There is tremendous value in not only analyzing this data but also sharing it among scientists. Cloud-computing platforms are well-suited to support such sharing: They offer a single logical location for data, access to data management tools for analyzing it, and a pay-as-you-go charging mechanism. However, while cloud-computing systems offer simple pricing schemes for storage and compute resources, the economics of data sharing are poorly understood and only coarsely supported.This research is developing models and infrastructures to establish relational data markets in the cloud. These markets enable scientists to upload their data and make it publicly available in the cloud, then recoup costs by charging others for using the data. The data markets also enable scientists to share their data with direct collaborators and see the cloud costs fairly distributed among team members.The project is building a prototype system on the Windows Azure cloud to implement these data markets.This project is having impact on both cloud computing and science by introducing new pricing techniques for data sharing in the cloud. The software and technical papers resulting from this project are being disseminated through the project website (http://cloud-data-pricing.cs.washington.edu/).

科学家正在以空前的规模和速率生成数据。不仅分析这些数据，而且在科学家中共享它具有巨大的价值。云计算平台非常适合支持这种共享：它们为数据提供了一个逻辑位置，访问数据管理工具以分析它，并提供了收费机制。但是，尽管由云计算系统提供了用于存储和计算资源的简单定价方案，但数据共享的经济学知识却很少，并且仅得到很高的支持。这项研究正在开发模型和基础架构，以在云中建立关系数据市场。这些市场使科学家能够上传数据并在云中公开可用，然后通过向其他人收取数据来弥补成本。数据市场还使科学家能够与直接合作者共享他们的数据，并看到云成本在团队成员之间公平分布。该项目正在Windows Azure Cloud上建立一个原型系统，以实现这些数据市场。该项目通过引入新的定价技术来影响云计算和科学，以在云中进行数据共享。该项目产生的软件和技术论文正在通过项目网站（http://cloud-data-pricing.cs.washington.edu/）传播。