With the development of information technology, distributed file system is widely used in massive information storage. Usually, distributed file system uses metadata server to achieve quick access to files according to directory, thus the organization and management of metadata are the keys to the file system performance. In general, directory subtree partition method and hash algorithm are used by existing mass storage system to manage metadata. However, to solve the problems, like low access efficiency of metadata, ineffective balance of load and poor extensibility, in existing metadata management strategy of distributed file system, dynamic load balance strategy of metadata based on hash tags is put forward, in which the tags act as partition granularity and hot tags of metadata will be hashed again to achieve the goal of load balance. The experimental results in this paper turn out that modified metadata management strategy based on hash tags has greater system throughput and less average response time than the one based on tags.,
Detailed Load Balance Analysis of Large Scale Parallel Applications
