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Topology-Aware Efficient Storage Scheme for Fault-Tolerant Storage Systems in Data Centers

机译:数据中心容错存储系统的拓扑感知高效存储方案

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In data centers, files are stored with the method of erasure code or replication to guarantee data reliability. However, both of the methods are not communication-friendly. An erasure coding system spends vast time to extract k data blocks across the racks during the decoding process. The transmission time contributes up to 94% of the total decoding time. In a multi-replica system, the frequent data writing and updating also lead to non-trivial bandwidth overhead. In this paper, we consider server-centric data centers (such as BCube), in which any pair of nodes are interconnected with multiple parallel paths. In such data centers, the transmissions for file storage can be significantly speed up by utilizing the parallel paths concurrently. With this insight, we first define the disjoint node in BCube. Based on this definition, we design the node-disjoint storage strategy (NDSS)and the nested node-disjoint storage strategy (N-NDSS)to improve the transmission between distributed storage nodes. Comprehensive simulations show the performance of our strategies in both erasure coding system and multi-replica system.
机译:在数据中心中,使用擦除代码或复制方法存储文件,以确保数据的可靠性。但是,这两种方法都不友好。擦除编码系统花费大量时间在解码过程中跨机架提取k个数据块。传输时间占总解码时间的94%。在多副本系统中,频繁的数据写入和更新还导致不小的带宽开销。在本文中,我们考虑以服务器为中心的数据中心(例如BCube),其中任何一对节点都通过多个并行路径互连。在这样的数据中心中,通过同时利用并行路径,可以大大加快文件存储的传输速度。有了这种见识,我们首先在BCube中定义了不相交的节点。基于此定义,我们设计了节点不相交存储策略(NDSS)和嵌套节点不相交存储策略(N-NDSS),以改善分布式存储节点之间的传输。全面的仿真显示了我们的策略在擦除编码系统和多副本系统中的性能。

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