Research
The Center for Big Data features a three-layer structure.
Research
Layer 1: Big Data Repository
Goals: Share data and analysis results for community building
Tasks: Standardize, categorize, and benchmark datasets
Layer 2: Big Data Technological Infrastructure
Goals: Provide generic and special big-data enabling solutions
Tasks: Investigate, design, develop, implement, and test big data-oriented analytics, visualization, computing, networking, workflow, storage, and retrieval solutions
Layer 3: Big Data Applications
Goals: Advances sciences in various domains
Tasks: Adapt, customize, and refine application-specific solutions
Recent Publications:
Generalizing the Over Operator for Parallelization and Order-independency. Journal of Parallel and Distributed Computing, vol. 151, pp. 52-60, May 2021 (JPDC21).
Exploratory Analysis and Performance Prediction of Big Data Transfer in High-performance Networks. Engineering Applications of Artificial Intelligence, vol. 102, 104285, June 2021 (EAAI21).
NoStop: A Novel Configuration Optimization Scheme for Spark Streaming. In Proceedings of the 50th International Conference on Parallel Processing, Argonne National Laboratory in Chicago, IL, USA, August 9-12, 2021 (ICPP21).