Projects per year
Fingerprint Dive into the research topics where Chase Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 16 Similar Profiles
Data transfer
Engineering & Materials Science
Network performance
Engineering & Materials Science
Bandwidth
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Wide area networks
Engineering & Materials Science
Throughput
Engineering & Materials Science
Scheduling algorithms
Engineering & Materials Science
Pipelines
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2015 2020
Mri Collaborative: Development Of Esprit - Emerging Systems' Performance And Energy Evaluation Instruments And Testbench
10/1/18 → 9/30/20
New Jersey Institute of Technology
Project: Research project
Arts computing
Data storage equipment
Energy efficiency
Learning systems
Computer systems
Csr: Small: Collaborative Research: An Integrated Approach To Performance Modeling And Optimization Of Big-Data Scientific Workflows
8/28/15 → 9/30/17
New Jersey Institute of Technology
Project: Research project
Scheduling
Grid computing
Cloud computing
Middleware
Dynamic analysis
Research Output 2001 2019
An improved data anonymization algorithm for incomplete medical dataset publishing
Liu, W., Pei, M., Cheng, C., She, W. & Wu, C., Jan 1 2019, Proceedings of the 2nd International Conference on Healthcare Science and Engineering. Li, X., Wu, C. Q., Chyu, M-C. & Lloret, J. (eds.). Springer Verlag, p. 115-128 14 p. (Lecture Notes in Electrical Engineering; vol. 536).New Jersey Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Entropy
Availability
An Integrated High-Performance Transport Solution for Big Data Transfer over Wide-Area Networks
Lyu, X., Wu, C. & Rao, N. S. V., Jan 22 2019, Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018. Institute of Electrical and Electronics Engineers Inc., p. 1661-1668 8 p. 8623008. (Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018).New Jersey Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Wide area networks
Data transfer
Transmission control protocol
Visualization
Stabilization
Bandwidth Scheduling for Big Data Transfer with Deadline Constraint between Data Centers
Hou, A., Wu, C. Q., Fang, D., Zuo, L., Zhu, M., Zhang, X., Qiao, R. & Yin, X., Feb 21 2019, Proceedings of INDIS 2018: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 55-63 9 p. 8648791. (Proceedings of INDIS 2018: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).Montclair State University, New Jersey Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Data transfer
Scheduling
Bandwidth
Telecommunication links
Quality of service
1
Citation
(Scopus)
Intelligent Scheduling for Parallel Jobs in Big Data Processing Systems
Xu, M., Wu, C., Hou, A. & Wang, Y., Apr 8 2019, 2019 International Conference on Computing, Networking and Communications, ICNC 2019. Institute of Electrical and Electronics Engineers Inc., p. 22-28 7 p. 8685520. (2019 International Conference on Computing, Networking and Communications, ICNC 2019).New Jersey Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Scheduling
Scheduling algorithms
Big data
Processing
Industry
Minimizing financial cost of scientific workflows under deadline constraints in multi-cloud environments
Gao, T., Wang, Y., Wu, C., Li, R., Hou, A. & Xu, M., Jan 1 2019, Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, p. 114-121 8 p. (Proceedings of the ACM Symposium on Applied Computing; vol. Part F147772).New Jersey Institute of Technology
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Costs
Data transfer
Press/Media
High profile
10/10/13
1 item of Media coverage
New Jersey Institute of Technology
Press/Media: Press / Media