A Center for Sustainable Cloud Computing

Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.


Efficient big data management for scientific applications
image: Project DB Toaster DBToaster
Generating DBMS engines for high-performance data processing
A new approach to causal consistency.
Key-value Stores Key-value Stores
New designs for efficient in-memory key-value stores.
Minimizing data-to-query time for the era of data deluge