The Model of Meta-data Cache on Client Node in Blue Whale Distributed File System
蓝鲸分布式文件系统的客户端元数据缓存模型

In Blue Whale distributed file system, the meta-data server handles all the meta-data through remote procedure calls, and all the data flows directly between clients and storage nodes. Because of communication delay, the metadata exchanging between clients and servers has great impact on the whole system performance especially when the load is heavy. We propose a model to maximize the meta-data cache on client node that dramatically reduces the RPC messages when itreads and writes data. This model greatly improves the reading and writing performance of Blue Whale distributed file system.