Cooperative pipelined regeneration in distributed storage systems

Jun Li, Xin Wang, Baochun Li
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引用次数: 9

Abstract

In distributed storage systems, a substantial volume of data are stored in a distributed fashion, across a large number of storage nodes. To maintain data integrity, when existing storage nodes fail, lost data are regenerated at replacement nodes. Regenerating multiple data losses in batches can reduce the consumption of bandwidth. However, existing schemes are only able to achieve lower bandwidth consumption by utilizing a large number of participating nodes. In this paper, we propose a cooperative pipelined regeneration process that regenerates multiple data losses cooperatively with much fewer participating nodes. We show that cooperative pipelined regeneration is not only able to maintain optimal data integrity, but also able to further reduce the consumption of bandwidth as well.
分布式存储系统中的协同流水线再生
在分布式存储系统中,大量数据以分布式方式存储在大量存储节点上。为了保证数据的完整性,当现有存储节点出现故障时,会在替换节点上重新生成丢失的数据。批量生成多个丢失的数据可以减少带宽的消耗。然而,现有的方案只能通过利用大量参与节点来实现较低的带宽消耗。在本文中,我们提出了一种协作的流水线再生过程,该过程可以在更少的节点参与下协同再生多个数据丢失。研究表明,协作式流水线再生不仅能够保持最佳的数据完整性,而且能够进一步降低带宽消耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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