Our lab conducts research on diverse areas related to high-performance data processing and analysis. Major research areas include the following.
High-Performance Computing in Big Facilities
- Optimizing scientific workflows and network transfer job scheduling in R&E networks such as ESnet/Internet2/KREONET.
- Optimizing system components holistically for high-speed data transfer.
- Parallel job scheduling especially focusing on time-critical jobs combined with bach jobs.
Cloud Computing for Big Data
- Container-based Hyper-Converged Infrastructure.
- Dynamic resource provisioning for streaming data.
- Flexbile and fast storage management system for SSD/NVRM.
IoT Data Analytics
- Time-series data prediction using Deep Learning.
- Light-weight Deep Learning for edge computing/devices.
- Flexible IoT datapath management using SDN.