Changlin Long
Papers
1
Total Citations
8
H-Index
1
About
Dr. Changlin Long is a leading researcher in big data storage systems, with a primary focus on erasure coding technologies for efficient and reliable data management. His seminal work, "Robot: An efficient model for big data storage systems based on erasure coding" (2013, 8 citations), addresses the critical challenge of storing massive volumes of cold data in the era of explosive data growth. By systematically studying coding technologies, Dr. Long proposed a novel solution that optimizes storage efficiency and fault tolerance, offering a practical framework for both industry and academia to handle the scalability demands of modern data centers. His contributions have helped bridge the gap between theoretical coding methods and real-world big data storage applications, making him a notable figure in the field. Dr. Long’s research continues to influence the design of cost-effective, high-performance storage architectures, underscoring his impact on the evolution of data infrastructure.
Research Focus
Key Achievements
Top Papers
- 1