Research
The Center for Big Data features a three-layer structure.
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:
W. Liu, D. Yun, and C.Q. Wu., "GLEE: GPR-based Latent Effect Elimination for Performance Prediction of Big Data Transfer," In Proceedings of the IEEE Global Communications Conference, Rio de Janeiro, Brazil, December 4-8, 2022 (Globecom22).
S. He, Y. Lu, Q. Tang, G. Wang, and C.Q. Wu., "Blockchain-Based P2P Content Delivery with Monetary Incentivization and Fairness Guarantee," Accepted by IEEE Transactions on Parallel and Distributed Systems, October 2022 (TPDS22).
E. Kenney, Q. Tang, and C.Q. Wu., "Anonymous Traceback for End to End Encryption," In Proceedings of the 27th European Symposium on Research in Computer Security, September 26, 2022 (ESORICS22).
S. He, T. Sun, Q. Tang, C.Q. Wu, N. Lipka, C. Wigington, and R. Jain. "Secure and Efficient Agreement Signing atop Blockchain and Decentralized Identity," In Proceedings of International Conference on Blockchain and Trustworthy Systems, Chengdu, China, August 4-5, 2022 (BlockSys22).
H. Alquwaiee and C.Q. Wu, "On Performance Modeling and Prediction for Spark-HBase Applications in Big Data Systems,” In Proc. of IEEE International Conference on Communications, Seoul, South Korea, May 16-20, 2022 (ICC22).
C.Q. Wu (guest editor). Special Issue on "Workflows in Support of Large-Scale Science", Concurrency and Computation: Practice and Experience (CCPE), Wiley, March 2022.
Dongliang Chu, Chase Q. Wu, "Generalizing the Over Operator for Parallelization and Order-independency," Journal of Parallel and Distributed Computing, vol. 151, pp. 52-60, May 2021 (JPDC21).
Daqing Yun, Wuji Liu, Chase Q. Wu, Nageswara S.V. Rao, and Rajkumar Kettimuthu, "Exploratory Analysis and Performance Prediction of Big Data Transfer in High-performance Networks," Engineering Applications of Artificial Intelligence, vol. 102, 104285, June 2021 (EAAI21).
Qianwen Ye, Wuji Liu, Chase Q. Wu, "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).