2017 IEEE International Conference on Big Data (Big Data) 2017
DOI: 10.1109/bigdata.2017.8258193
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ABC: A practicable sketch framework for non-uniform multisets

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Cited by 11 publications
(11 citation statements)
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“…Using different workloads, metrics, and tasks, we also show significant accuracy improvements for the above schemes as well as for state of the art solutions like Univmon [15], Cold Filter [9], and AEE [16]. We also compare against Pyramid Sketch [12] and ABC [17], recent variable-counter-size solutions, and show that SALSA is more accurate than both. Finally, we release our code as open source [1].…”
Section: Introductionmentioning
confidence: 80%
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“…Using different workloads, metrics, and tasks, we also show significant accuracy improvements for the above schemes as well as for state of the art solutions like Univmon [15], Cold Filter [9], and AEE [16]. We also compare against Pyramid Sketch [12] and ABC [17], recent variable-counter-size solutions, and show that SALSA is more accurate than both. Finally, we release our code as open source [1].…”
Section: Introductionmentioning
confidence: 80%
“…Such settings are standard for applications that aim for speed rather than being memoryoptimal. For the ABC [17] and Pyramid [12] sketches, as well as the Cold Filter [9] framework, we use the configurations recommended by the authors. We pick s = 8 bit counters as the default configuration of SALSA, motivated by the synthetic results.…”
Section: Discussionmentioning
confidence: 99%
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