关键词: 视频资源, 分布式存储, 存储均衡, 高性能

Abstract:

With the increase of internet video contents, the method of distributively storing these videos has attracted much attention. In the distributed storage system, storage balance will make a system more robust. However traditional distributed storage systems always adjust the storage imbalance after it happens, which might cause more IO cost. This study focuses on distributed video file storage and proposes a kind of storage system based on Hash and Bloom Filter, namely HBF. It balances the storage when a file is being stored into the system. The system contains different nodes and the files are distributively stored on these nodes. The ability to easily add and remove nodes makes capacity of the system more scalable. In addition, improvments in storage balance have also been achieved, which keeps the usage of nodes storage relatively consistent. The experiments indicate that HBF achieves a good balance of nodes storage as well as the high performance of the distributed video files storage system. Thus the load balance could be greatly improved, and meanwhile the ultilization of resources would be more reasonable.

Key words: video resources, distributed storage, storage balance, high performance