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Data mining in intelligent SSD: Simulation-based evaluation

机译:智能SSD中的数据挖掘:基于仿真的评估

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Due to an explosive growth of Internet applications, the amount of data has increased enormously. In order to store and process this big data more efficiently, a solid-state device (SSD) has replaced a hard disk drive (HDD) as a primary storage media. In spite of high internal bandwidth, SSD has its performance bottleneck on the host interface whose bandwidth is relatively low. To overcome the problem of performance bottleneck in big data processing, the notion of intelligent SSD (iSSD) was proposed to give computing power to SSD. However, its real implementation has not been provided to the public yet. In this paper, we are going to verify the potential of iSSD in handling data-intensive algorithms. To the end, we first develop an iSSD simulator and then evaluate the performance of data mining algorithms inside iSSD on the top of it in comparison with that by the host CPU. The results reveal that data mining with iSSD outperforms that with host CPUs up to around 300%.
机译:由于Internet应用程序的爆炸性增长,数据量已大大增加。为了更有效地存储和处理这些大数据,固态设备(SSD)取代了硬盘驱动器(HDD)作为主要存储介质。尽管内部带宽很高,但SSD在带宽相对较低的主机接口上仍存在性能瓶颈。为了克服大数据处理中的性能瓶颈问题,提出了智能SSD(​​iSSD)的概念,以赋予SSD以计算能力。但是,尚未向公众提供其实际执行情况。在本文中,我们将验证iSSD在处理数据密集型算法中的潜力。最后,我们首先开发一个iSSD模拟器,然后在它上面评估iSSD内部数据挖掘算法的性能,并与主机CPU进行比较。结果表明,使用iSSD进行数据挖掘的性能要优于使用主机CPU的300%左右的数据挖掘。

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