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.

 

image: Project DB Toaster DBToaster
Generating DBMS engines for high-performance data processing
Efficient Real-time Analytics on General Purpose GPUs
To benefit from the performance improvement offered by GPUs without sacrificing the versatility offered by CPUs.
Geo-replication
A new approach to causal consistency.
Key-value Stores Key-value Stores
New designs for efficient in-memory key-value stores.
SmartDataLake: Sustainable Data Lakes for Extreme-Scale Analytics
An alternative approach to run queries and perform data analysis.