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PRS: A Pattern-Directed Replication Scheme for Heterogeneous Object-Based Storage

机译:PRS:用于基于异构对象存储的模式定向复制方案

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Data replication is a key technique to achieve high data availability, reliability, and optimized performance in distributed storage systems. In recent years, with emerged new storage devices, heterogeneous object-based storage systems, such as a storage system with a mix of hard disk drives, solid state drives, and other non-volatile memory devices have become increasingly attractive since they combine the merits of different storage devices to deliver better promises. However, existing data replication schemes do not well consider distinct characteristics of heterogeneous storage devices yet, which could lead to suboptimal performance. This article introduces a new data replication scheme called Pattern-directed Replication Scheme (PRS) to achieve efficient data replication for heterogeneous storage systems. Different from traditional schemes, the PRS selectively replicates data objects and distributes replicas to various storage devices based on their characteristics. It aggregates objects that have I/O correlation into object groups by calculating object distance and makes replication for grouped objects according to application's data access pattern identified. In addition, the PRS uses a pseudo random algorithm to optimize replica placement by considering the storage device performance and capacity features. We have evaluated the pattern-directed replication scheme with extensive tests in Sheepdog, a typical object-based storage system. The experimental results confirm that it is a highly efficient replication scheme for heterogeneous storage systems. For instance, the read performance was improved by 105 percent to nearly 10x compared with existing replication schemes.
机译:数据复制是在分布式存储系统中实现高数据可用性,可靠性和优化性能的关键技术。近年来,由于新的新存储设备,基于物体基于对象的存储系统,例如具有硬盘驱动器,固态驱动器和其他非易失性存储器设备的混合的存储系统已经变得越来越有吸引力,因为它们结合了优点不同的存储设备提供更好的承诺。但是,现有的数据复制方案不适用于异构存储设备的不同特性,这可能导致次优性能。本文介绍了一种名为模式定向复制方案(PRS)的新数据复制方案,以实现异构存储系统的有效数据复制。与传统方案不同,PRS选择性地将数据对象复制并根据其特征将副本分发给各种存储设备。通过计算对象距离并根据所识别的应用程序的数据访问模式来聚合对象组中具有I / O相关的对象。此外,PRS通过考虑存储设备性能和容量功能来使用伪随机算法来优化副本放置。我们已经评估了具有广泛测试的模式定向的复制方案,在牧羊犬,基于典型的基于对象的存储系统中进行了广泛的测试。实验结果证实它是异构存储系统的高效复制方案。例如,与现有复制方案相比,读取性能提高了105%至近10倍。

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