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In-network block repairing for erasure coding storage systems

机译:擦除编码存储系统的网络内块修复

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In the erasure coding storage system, it is necessary to extract multiple data blocks from otherremaining storage nodes to a new node when a storage node fails, which repairs the failed datablock satisfactorily. However, this would incur the incast problem at this new node. The existingsolutions for the repair process in the incast problem mainly rely on path planning and resourceallocation. Although these solutions improve the performance of repairing the failed data blocks,they still waste a large amount of storage and bandwidth resources unavoidably. In this paper,we propose the incast problem to be resolved economically via the in-network aggregation.Specifically, we assume that the switches in data centers have certain data processing capabilitiesand can aggregate data flows efficiently. Thereafter, we propose a set of in-network methods torepair a failed data block in the erasure coding storage systems, taking the fat-tree data centeras an example. Thus, the incast problem can be solved effectively during the data transmissionprocess. Compared with the prior methods, our approach effectively avoids the overhead ofextra path computing, as well as significantly reduces the link cost of repairing data blocks, whilepromising similar or faster repair speed.
机译:在纠删码存储系统中,当存储节点发生故障时,有必要从其他剩余的存储节点中提取多个数据块到一个新的节点,以令人满意地修复故障的数据块。但是,这将在此新节点上引发内播问题。铸件问题中修复过程的现有解决方案主要依靠路径规划和资源分配。尽管这些解决方案提高了修复故障数据块的性能,但是它们仍然不可避免地浪费了大量的存储和带宽资源。在本文中,我们提出了通过网络内聚合可以经济地解决的组播问题。具体来说,我们假设数据中心的交换机具有一定的数据处理能力,并且可以有效地聚合数据流。此后,我们以胖树数据中心为例,提出了一套网络内方法来修复擦除编码存储系统中的故障数据块。因此,可以在数据传输过程中有效地解决内播问题。与现有方法相比,我们的方法有效地避免了额外路径计算的开销,并显着降低了修复数据块的链路成本,同时保证了相似或更快的修复速度。

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