Research and improvement of cloud storage for massive small files
Xiao Liu, Rongna Xie, Guozhen Shi, Kaishi Guo · 2019 2nd International Conference on Safety Produce Informatization (IICSPI) · 2019
Cloud storage for massive small files has become the trend of data storage in network cloud environment. How to ensure small files meet user needs and secure storage is a major challenge in cloud storage research. Aiming at the above challenges, this paper improves the existing FastDFS system, divides the storage space into four levels, and stores different levels according to the user's account level, thus solving the problem of user demand. In order to improve the efficiency of file reading and writing, this paper puts forward the placement strategy of massive small files and the selection of small file retrieval algorithm. Through MD5 algorithm, a secondary index is established to make files easier to store. Theoretical analysis shows the security and performance of the system, which solves the problem of access security of massive small files in cloud storage, and effectively improves the efficiency of reading and writing under the premise of ensuring security.