CiC RDDC: Relational Data Markets in the Cloud

科学家正在以前所未有的规模和速度生成数据。不仅分析这些数据，而且在科学家之间分享这些数据，这是非常有价值的。云计算平台非常适合支持这种共享：它们为数据提供单一的逻辑位置，访问用于分析数据的数据管理工具，以及按需付费的收费机制。然而，尽管云计算系统为存储和计算资源提供了简单的定价方案，但数据共享的经济性却鲜为人知，而且只得到了粗略的支持。这些市场使科学家能够上传他们的数据并在云中公开，然后通过向其他人收取使用数据的费用来收回成本。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配。该项目正在Windows Azure云上构建一个原型系统来实施这些数据市场。该项目通过引入新的云中数据共享定价技术，对云计算和科学都产生了影响。该项目产生的软件和技术论文正通过项目网站(http://cloud-data-pricing.cs.washington.edu/).分发

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/).