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Self-sorting SSD: Producing sorted data inside active SSDs

机译:自分类SSD:在活动SSD内生成分类数据

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Nowadays solid state drives (SSDs) are gaining popularity and are replacing magnetic hard disk drives (HDDs) in enterprise storage systems. As a result, extracting the maximum performance from SSDs is becoming crucial to deal with the increasing storage volume and performance needs. Active disks were introduced as a way to offload data-processing tasks from the host into disks freeing system resources and achieving better performance. In this work, we present an active SSD architecture called Self-Sorting SSD that targets to offload sorting operations which are commonly used in data-intensive and database environments and that require heavy data transfer. Processing sorting operations directly on the SSD reduces data transfer from/to the storage devices, increasing system performance and the lifetime of SSDs. Experiments on a real SSD platform reveal that our proposed architecture outperforms traditional external merge sort by up to 60.75%, reduces energy consumption by up to 58.86%, and eliminates all the data transfer overhead to compute sorted results.
机译:如今,固态驱动器(SSD)越来越流行,并且正在取代企业存储系统中的磁性硬盘驱动器(HDD)。因此,从SSD中获取最大性能对于解决日益增长的存储量和性能需求变得至关重要。引入活动磁盘是一种将数据处理任务从主机上转移到磁盘上的方式,从而释放了系统资源并获得了更好的性能。在这项工作中,我们提出了一种主动的SSD架构,称为Self-Sorting SSD,其目标是分流排序操作,这些操作通常在数据密集型和数据库环境中使用,并且需要大量数据传输。直接在SSD上处理分类操作减少了与存储设备之间的数据传输,从而提高了系统性能和SSD的使用寿命。在真实的SSD平台上进行的实验表明,我们提出的体系结构比传统的外部合并排序性能高出60.75%,能耗降低了58.86%,并且消除了计算排序结果所需的所有数据传输开销。

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