Data Eco$y$tem: Data Management and Pricing in the Cloud
Overview
In this project, we study problems at the intersection of pricing and data management in emerging cloud-computing environments.
People
Students
Faculty
Projects, Publications, and Software
Relational Data Market in the Cloud
Cloud-computing is transforming many aspects of data management. Most recently, the cloud is seeing the emergence of digital markets
for data and associated services. We observe that our community has a lot to offer in building successful cloud-based data markets. In this project, we investigate some of the key challenges that such markets face and we build tools for supporting them.
Data Markets in the Cloud: An Opportunity for the Database Community
Magdalena Balazinska, Bill Howe, and Dan Suciu
VLDB 2011
Collaborative Data Management in the Cloud
Data-management-as-a-service systems are increasingly used in collaborative settings, where multiple users access common data sets. Cloud providers have the choice to implement various optimizations, such as indexing or materialized views, to accelerate queries over these datasets. Each optimization carries a cost and may benefit multiple users. This creates a major challenge: how to select which optimizations to perform and share their cost among users. The problem is especially challenging when users are selfish and will only report their true values for different optimizations if it maximizes their utility. We study mechanism-design-based techniques for addressing this challenge.
How to Price Shared Optimizations in the Cloud
Prasang Upadhyaya, Magdalena Balazinska, and Dan Suciu
PVLDB 5(6):562-573, 2012
[Technical report; BibTeX]
Acknowledgments
The Data Eco$y$tem project is partially supported by the National Science Foundation and Microsoft through NSF CiC grant CCF 1047815. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funding agencies.