wisscsort:字节可寻址存储的外部排序

Vinay Banakar, Kan Wu, Yuvraj Patel, K. Keeton, A. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
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引用次数: 1

摘要

我们提出了wissort,一种用于现有和未来的字节可寻址存储(BAS)设备的高性能并发排序的新方法。wisscsort仔细地减少了写入,在排序过程中通过拆分键和值来利用随机读取,并通过线程池大小执行干扰感知调度,以避免I/O带宽退化。我们介绍了包含BAS器件独特特性的BRAID模型。许多最先进的分类系统不符合BRAID模型并提供次优性能,而wissort显示了符合BRAID的有效性。在标准排序基准测试中,wissort比竞争方法快2-7倍。我们在不同的键值大小上评估键值分离的有效性,并将我们的并发优化与其他各种并发模型进行比较。最后,我们模拟了通用的BAS设备,并展示了我们的技术如何在各种硬件属性组合中表现良好。
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WiscSort: External Sorting For Byte-Addressable Storage
We present WiscSort, a new approach to high-performance concurrent sorting for existing and future byte-addressable storage (BAS) devices. WiscSort carefully reduces writes, exploits random reads by splitting keys and values during sorting, and performs interference-aware scheduling with thread pool sizing to avoid I/O bandwidth degradation. We introduce the BRAID model which encompasses the unique characteristics of BAS devices. Many state-of-the-art sorting systems do not comply with the BRAID model and deliver sub-optimal performance, whereas WiscSort demonstrates the effectiveness of complying with BRAID. We show that WiscSort is 2-7 x faster than competing approaches on a standard sort benchmark. We evaluate the effectiveness of key-value separation on different key-value sizes and compare our concurrency optimizations with various other concurrency models. Finally, we emulate generic BAS devices and show how our techniques perform well with various combinations of hardware properties.
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