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Load-Balancing Performance of Consistent Hashing: Asymptotic Analysis of Random Node Join

机译:一致性哈希的负载均衡性能:随机节点加入的渐近分析

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Balancing of structured peer-to-peer graphs, including their zone sizes, has recently become an important topic of distributed hash table (DHT) research. To bring analytical understanding into the various peer-join mechanisms based on consistent hashing, we study how zone-balancing decisions made during the initial sampling of the peer space affect the resulting zone sizes and derive several asymptotic bounds for the maximum and minimum zone sizes that hold with high probability. Several of our results contradict those of prior work and shed new light on the theoretical performance limitations of consistent hashing. We use simulations to verify our models and compare the performance of the various methods using the example of recently proposed de Bruijn DHTs.
机译:结构化对等图的平衡,包括它们的区域大小,最近已成为分布式哈希表(DHT)研究的重要主题。为了将分析理解带入基于一致哈希的各种对等连接机制中,我们研究了在对等空间的初始采样期间做出的区域平衡决策如何影响最终的区域大小,并为最大和最小区域大小导出了几个渐近边界举行的可能性很高。我们的一些结果与先前的工作相矛盾,并为一致性哈希的理论性能局限性提供了新的思路。我们使用仿真来验证我们的模型,并使用最近提出的de Bruijn DHT的示例比较各种方法的性能。

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