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Parity Data De-Duplication in All Flash Array-Based OpenStack Cloud Block Storage

机译:所有基于闪存阵列的OpenStack云块存储中的奇偶校验重复数据删除

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In recent years, the need to build solid state drive (SSD)-based cloud storage systems has been increasing in order to process the big data generated by lots of Internet of Things devices and Internet users. Because these kinds of cloud systems require high performance and reliable storage, the use of flash-based Redundant Array of Independent Disks (RAID) will increase. But in flash-based RAID storage, parity data must be updated with every data write operation, which can more quickly overwhelm SSD's lifespan. To solve this problem, this letter proposes parity data deduplication for OpenStack cloud storage systems using an all flash array. Unlike the traditional data deduplication method, it only removes parity data, which will be stored in the parity disks of the all flash array. Experiments show that the proposed parity data deduplication method can efficiently reduce the number of parity data write operations, compared to the traditional data deduplication method.
机译:近年来,为了处理大量物联网设备和互联网用户生成的大数据,构建基于固态驱动器(SSD)的云存储系统的需求不断增加。由于这类云系统需要高性能和可靠的存储,因此基于闪存的独立磁盘冗余阵列(RAID)的使用将会增加。但是在基于闪存的RAID存储中,必须通过每次数据写入操作来更新奇偶校验数据,这可能会更快地使SSD的寿命变得不堪重负。为了解决这个问题,这封信提出了使用全闪存阵列的OpenStack云存储系统的奇偶校验重复数据删除技术。与传统的重复数据删除方法不同,它仅删除奇偶校验数据,该数据将存储在全闪存阵列的奇偶校验磁盘中。实验表明,与传统的重复数据删除方法相比,该奇偶数据重复数据删除方法可以有效减少奇偶数据的写操作次数。

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