混合Flash/3DXPoint存储R-tree性能研究

Athanasios Fevgas, Leonidas Akritidis, M. Alamaniotis, P. Tsompanopoulou, Panayiotis Bozanis
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引用次数: 4

摘要

基于闪存的固态硬盘已经成为许多应用程序的首选存储介质,几乎在任何数据中心都取代了传统的hdd。它们的出现激发了许多数据管理方面的研究工作。3DXPoint是一款具有更好规格的新型非易失性存储器,是存储系统的一个突破;3DXPoint具有低延迟和高IOPS的特点,可以创建新的研究领域。在这个方向上,混合存储系统的结合,闪存和3DXPoint,似乎是一个适当的路线图,因为3DXPoint的成本仍然很高。在本文中,我们通过仔细的实验研究了R-tree在flash和3DXPoint ssd上的性能。我们还研究了一种简单但具有启发性的方法来开发混合指数。在一个真实数据集和两个合成数据集上进行的实验表明,利用3DXPoint技术可以显著提高空间索引的性能。据我们所知,这是第一个考虑混合flash/3DXPoint R-tree存储的研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study of R-tree Performance in Hybrid Flash/3DXPoint Storage
The flash based solid state drives have become the storage medium of choice for many applications, replacing traditional HDDs in almost any data center. Their advent has motivated many research efforts in data management. 3DXPoint, a new non-volatile memory with even better specifications, is a breakthrough for storage systems; featuring low latency and high IOPS, 3DXPoint can create new lines of research. Towards this direction, hybrid storage systems combining, both flash and 3DXPoint, seem to be an adequate roadmap, since the cost of 3DXPoint remains high. In this paper, we study the performance of R-tree on both flash and 3DXPoint SSDs through careful experimentation. We also examine a simple yet illuminating approach to develop a hybrid index. The conducted experiments on one real and two synthetic datasets show that spatial indexes can achieve significant performance gains by exploiting 3DXPoint technology. To the best of our knowledge this is the first research effort that considers a hybrid flash/3DXPoint storage for R-tree.
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