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ISM - An Intra-Stripe Data Migration Approach for RAID-5 Scaling

机译:ISM - RAID-5缩放的条带内部数据迁移方法

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Scaling is often carried out in modern RAID systems to meet the ever increasing demand of storage capacity and I/O performance. However, the scaling process of RAID-5 system is not trivial, due to its specific data/parity layout. Previous approaches of RAID-5 scaling require either migrating almost all data blocks in the system, or recalculating all or some of the parity blocks during scaling. This paper proposes a new RAID-5 scaling approach called ISM (Intra-Stripe Migration). With ISM, data migrations only happen within stripes, which means that the coding relationship among blocks remains the same. Therefore, the parity blocks do not need to be recalculated after data migration, which greatly reduces the I/O and computational costs. The properties of ISM approach can be summarized as follows: (1) it requires the minimum amount of data blocks to be migrated, (2) it supports data migration without recalculating parity blocks, and (3) it supports multiple successive scaling operations while keeping the above properties. The simulation results on DiskSim show that: (1) ISM reduces the scaling time from 47.91% to 87.01% and from 88.94% to 96.58% compared with GSR and ALV respectively in offline scaling, (2) under two real-world I/O traces, ISM also outperforms GSR by 64.15% ~ 87.30%, and ALV by 92.38% ~ 95.98% in scaling time, and (3) ISM maintains almost the same performance of data access with ALV and GSR after scaling.
机译:缩放通常在现代RAID系统中进行,以满足储存容量和I / O性能的不断增加的需求。然而,由于其特定的数据/奇偶校验布局,RAID-5系统的缩放过程并不琐碎。以前的RAID-5缩放方法需要在系统中迁移系统中的几乎所有数据块,或重新计算缩放期间的所有或一些奇偶校验块。本文提出了一种名为ISM(条带内迁移)的新的RAID-5缩放方法。使用ISM,数据迁移仅发生在条带内,这意味着块之间的编码关系保持不变。因此,数据迁移后不需要重新计算奇偶校验块,这大大降低了I / O和计算成本。 ISM方法的属性可以概括如下:(1)它需要要迁移的最小数据块,(2)它支持数据迁移而无需重新计算奇偶校验块,并且(3)它在保持时支持多个连续的缩放操作以上属性。 DISKSIM的仿真结果表明:(1)ISM分别将缩放时间从47.91%降低到87.01%,与GSR和ALV分别在离线缩放,(2)下的两个现实世界I / O下的88.94%至96.58%迹线,ISM也以64.15%〜87.30%优于64.15%〜87.30%,并且缩放时间内的ALV达到92.38%〜95.98%,并且(3)ISM在缩放后保持与ALV和GSR的数据访问几乎相同的性能。

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