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DMooseFS: Design and implementation of distributed files system with distributed metadata server

机译:DMooseFS:具有分布式元数据服务器的分布式文件系统的设计和实现

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Distributed file system is one of the key blocks of data centers. With the fast increase of user scale, metadata management in distributed file system should also be distributed to multiple nodes so as to achieve high scalability and reliability. However, existing works usually focus on the design of distributed metadata management approach, and very few efforts have been put on real implementation. In this paper, we present the design and implementation of DMooseFS, a system with simple and efficient distributed metadata management. Our work is based on the well-known distributed file system MooseFS. We extend it by introducing multiple metadata servers (MDS). The metadata is divided into non-overlapping parts using static subtree partitioning, and each MDS is assigned with one of the parts according to a hash algorithm. Such a hybrid design is efficient because it can avoid the drawbacks of static subtree partitioning and/or hash-based approaches. We implement DMooseFS by modifying existing implementation of MooseFS and test it in real deployment. Technical issues in implementation are also found and addressed. Experiment results from real world deployment show that our system is effective and efficient, compared with the original version of MooseFS.
机译:分布式文件系统是数据中心的关键模块之一。随着用户规模的快速增长,分布式文件系统中的元数据管理也应分布到多个节点,以实现较高的可扩展性和可靠性。但是,现有的工作通常集中在分布式元数据管理方法的设计上,并且很少在真正的实现上投入精力。在本文中,我们介绍了DMooseFS的设计和实现,DMooseFS是具有简单而高效的分布式元数据管理的系统。我们的工作基于著名的分布式文件系统MooseFS。我们通过引入多个元数据服务器(MDS)对其进行扩展。使用静态子树划分将元数据划分为非重叠部分,并且根据哈希算法为每个MDS分配一个部分。这样的混合设计是有效的,因为它可以避免静态子树分区和/或基于哈希的方法的缺点。我们通过修改MooseFS的现有实现来实现DMooseFS并在实际部署中对其进行测试。还发现并解决了实施中的技术问题。实际部署中的实验结果表明,与原始版本的MooseFS相比,我们的系统有效且高效。

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