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Adaptive Data Block Placement Based on Deterministic Zones (AdaptiveZ)

机译:基于确定性区域(AdaptiveZ)的自适应数据块放置

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摘要

The deterministic block distribution method proposed for RAID systems (known as striping) has been a traditional solution for achieving high performance, increased capacity and redundancy all the while allowing the system to be managed as if it were a single device. However, this distribution method requires one to completely change the data layout when adding new storage subsystems, which is a drawback for current applicationsThis paper presents AdaptiveZ, an adaptive block placement method based on deterministic zones, which grows dynamically zone-by-zone according to capacity demands. When adapting new storage subsystems, it changes only a fraction of the data layout while preserving a simple management of data due to deterministic placement. AdaptiveZ uses both a mechanism focused on reducing the overhead suffered during the upgrade as well as a heterogeneous data layout for taking advantage of disks with higher capabilities. The evaluation reveals that AdaptiveZ only needs to move a fraction of data blocks to adapt new storage subsystems while delivering an improved performance and a balanced load. The migration scheme used by this approach produces a low overhead within an acceptable time. Finally, it keeps the complexity of the data management at an acceptable level.
机译:为RAID系统提议的确定性块分配方法(称为条带化)已成为一种传统解决方案,可始终实现高性能,增加的容量和冗余性,同时允许像单个设备一样对系统进行管理。但是,这种分配方法需要在添加新的存储子系统时完全改变数据布局,这对当前应用是不利的。本文提出了AdaptiveZ,这是一种基于确定性区域的自适应块放置方法,该方法可以根据区域动态增长容量需求。适应新的存储子系统时,由于确定性放置,它仅更改了一部分数据布局,同时保留了对数据的简单管理。 AdaptiveZ使用既专注于减少升级过程中开销的机制,又利用异构数据布局来利用具有更高功能的磁盘。评估显示,AdaptiveZ只需要移动一部分数据块即可适应新的存储子系统,同时提供更高的性能和平衡的负载。此方法使用的迁移方案在可接受的时间内产生了较低的开销。最后,它将数据管理的复杂性保持在可接受的水平。

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