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MORE ROBUST HASHING: CUCKOO HASHING WITH A STASH

机译:更强大的哈希运算:杜鹃与藏匿处的哈希运算

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摘要

Cuckoo hashing holds great potential as a high-performance hashing scheme for real applications. Up to this point, the greatest drawback of cuckoo hashing appears to be that there is a polynomially small but practically significant probability that a failure will occur during the insertion of an item, requiring an expensive rehashing of all items in the table. In this paper, we show that this failure probability can be dramatically reduced by the addition of a very small constant-sized stash. We demonstrate both analytically and through simulations that stashes of size equivalent to only three or four items yield tremendous improvements, enhancing cuckoo hashing's practical viability in both hardware and software. Our analysis naturally extends previous analyses of multiple cuckoo hashing variants, and the approach may prove useful in further related schemes.
机译:布谷鸟哈希作为用于实际应用程序的高性能哈希方案具有巨大的潜力。到此为止,布谷鸟哈希的最大缺点似乎是,在插入项目期间发生故障的可能性很小,但实际上却是一个有意义的多项式,因此需要对表中的所有项目进行昂贵的重新哈希处理。在本文中,我们表明,通过添加非常小的恒定大小的存储区,可以大大降低这种故障概率。通过分析和仿真,我们证明了隐藏大小仅为三或四个项的存储产生了巨大的改进,从而增强了杜鹃哈希在硬件和软件上的实际可行性。我们的分析自然扩展了先前对多个杜鹃哈希变体的分析,并且该方法在进一步的相关方案中可能很有用。

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