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A New Placement-Ideal Layout for Multiway Replication Storage System

机译:多路复制存储系统的新布局理想布局

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摘要

Technology trends are making sophisticated replication-based storage architectures become a standard commercial practice in today''s computing. Existing solutions successfully developed optimal and near-optimal parallelism layouts such as declustered parity organizations at small-scale storage architectures. There are very few studies on multiway replication-based storage architectures that are significantly different from parity-based storage architectures. It is difficult to scale up to a large size because current placement-ideal solutions have a limited number of configurations. In this paper, we retrofit the desirable properties of optimal parallelism definitions in parity architectures for replication architectures, and propose a novel placement-ideal data layoutȁ4;shifted declustering. Shifted declustering layout obtains optimal parallelism in a wide range of configurations, and obtains optimal high performance and load balancing in both fault-free and degraded mode. Our theoretical proofs and comprehensive simulation results show that shifted declustering is superior in performance, load balancing, and reliability to traditional layout schemes such as standard mirroring, chained declustering, group-rotational declustering, and existing parity layout schemes PRIME and RELPR [CHECK END OF SENTENCE].
机译:技术趋势使复杂的基于复制的存储体系结构成为当今计算的标准商业惯例。现有解决方案成功地开发了最佳和接近最佳的并行布局,例如在小型存储体系结构中减少了奇偶校验组织。关于基于多路复制的存储体系结构与基于奇偶校验的存储体系结构显着不同的研究很少。由于当前理想的布局解决方案配置数量有限,因此很难将其放大到较大的尺寸。在本文中,我们将奇偶校验体系结构中的最佳并行性定义的理想属性改写为复制体系结构,并提出了一种新颖的布局-理想数据布局[4];移位聚簇。移位的去簇布局可在各种配置中获得最佳的并行度,并在无故障和降级模式下均获得最佳的高性能和负载平衡。我们的理论证明和全面的模拟结果表明,移位去簇在性能,负载平衡和可靠性方面优于传统布局方案,例如标准镜像,链式去簇,组旋转去簇和现有的奇偶性布局方案PRIME和RELPR [检查结束]句子]。

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