Counters are the fundamental building block of many data sketching schemes, which hash items to a small number of counters and account for collisions to provide good approximations for frequencies and other measures. Most existing methods rely on fixed-size counters, which may be wasteful in terms of space, as counters must be large enough to eliminate any risk of overflow. Instead, some solutions use small, fixed-size counters that may overflow into secondary structures. This paper takes a different approach. We propose a simple and general method called SALSA for dynamic re-sizing of counters and show its effectiveness. SALSA starts with small counters, and overflowing counters simply merge with their neighbors. SALSA can thereby allow more counters for a given space, expanding them as necessary to represent large numbers. Our evaluation demonstrates that, at the cost of a small overhead for its merging logic, SALSA significantly improves the accuracy of popular schemes (such as Count-Min Sketch and Count Sketch) over a variety of tasks. Our code is released as open-source [1].

中文翻译：

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SALSA：自我调整的精益流分析

计数器是许多数据草绘方案的基本构建块，这些方案将项目哈希到少量计数器并考虑冲突，从而为频率和其他度量提供良好的近似值。大多数现有方法依赖于固定大小的计数器，这在空间方面可能是浪费的，因为计数器必须足够大以消除任何溢出风险。取而代之的是，某些解决方案使用固定大小的小型计数器，这些计数器可能会溢出到二级结构中。本文采用了不同的方法。我们提出了一种称为SALSA的简单且通用的方法来动态调整计数器的大小，并显示其有效性。SALSA从小计数器开始，溢出的计数器仅与它们的邻居合并。因此，SALSA可以为给定的空间提供更多的计数器，并根据需要扩展它们以表示较大的数量。我们的评估表明，以其合并逻辑所需的一小笔开销为代价，SALSA可以显着提高流行方案（例如Count-Min Sketch和Count Sketch）在各种任务上的准确性。我们的代码以开源[1]的形式发布。