【摘要】 本文提出了一种两级元数据服务器机群文件系统,高级元服务器实现任务分配功能,依据与二级元服务器性能最密切相关的负载信息将任务快速分配给二级元服务器,同时在存储文件时,提出了一种文件热量模型,能正确反映各存储节点I/O流量和存储量的方法,并依据文件热量值对待存文件进行了合理的分配存储。实验结果表明,本策略提高了系统的性能,缩短了任务执行时间,取得了较好的效果。更多还原

【Abstract】 s:In this paper, we explored a cluster file system contains two levels of metadata-server, primary-level-server quickly distributes tasks to second-level-servers depending on the closest load-balancing information. At the same time, we explored a method which accurately reflect I/O traffic and storage of storage-node: computing the heat-value of file, according to which we realized a more logical storage allocation. According to the experiment result, we conclude that this new algorithm shortens the executing time of tasks and improves the system performance compared with other load algorithm.更多还原