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Dong Dai
Parallel File Systems
Metadata Management
Graph Storage
Job Scheduling
Reinforcement Learning
Fintech 416B
About
Dong Dai works on optimizing and designing intelligent infrastructure for high-performance, data-intensive systems, such as parallel file systems, metadata management, graph storage, and job scheduling. His recent work focuses on using various learning methods (e.g., deep learning, reinforcement learning) to design more efficient and robust storage and I/O systems.
Research Performance Summary
2011-2025
Active Research Span
First Recorded Paper
An auto-configuration tool for heterogeneous Hadoop cluster
Year:
2011
Citations:
1
Venue:
Journal of University of Chinese Academy of Sciences 28 (6)
Latest Recorded Paper
Be Aware of Metadata Corruption in Parallel File System: It can be Silent and Catastrophic
Year:
2025
Citations:
0
Venue:
2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Dai
Chen
Zhou
Research Impact by Period
Papers
12
Citations
6
Avg. Citations / Paper
0.5
H-Index
1
Papers
27
Citations
459
Avg. Citations / Paper
17
H-Index
12
Papers
28
Citations
362
Avg. Citations / Paper
12.9
H-Index
12
Papers
23
Citations
193
Avg. Citations / Paper
8.4
H-Index
6
Contact and Professional Links
Detected Research Keywords
Parallel File Systems
Parallel File System
Log Anomaly Detection
Performance Parallel File
Rich Metadata Management
Hpc Rich Metadata
Storage Data Structures
Lossy Compression Quality
Compression Quality Prediction
Iogp Incremental Online