The Bil-DIDS group conducts research in the general area of data-intensive distributed systems, with a particular focus on fast data and big data.
The lab's research areas include distributed stream processing systems, MapReduce systems, distributed key-value stores, large-scale graph processing, and hardware acceleration for data management. Our research addresses issues such as parallelization, fault-tolerance, profiling, optimization, and debugging in data-intensive systems.