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Practical Range Counting over Data Streams
Conference paper

Practical Range Counting over Data Streams

Ran Bai, Ziliang Lai, Eric Lo, Wing-Kai Hon and Pengfei Zhang
Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, pp.659-668
12/2020

Abstract

Data stream Frequency estimation Range counting Sketch Computer Networks and Communications Information Systems Information Systems and Management Safety Risk Reliability and Quality
In applications such as network monitoring and sensor measurements, massive amounts of data arrive as a high-rate stream and real-time analytic over the stream data is required. Maintaining a succinct sketch over the data stream has been a dominant approach to support analysis in those applications. Recent applications, however, demand more sophisticated types of analytics such as range-counting. Unfortunately, state-of-the-art sketches perform poorly when facing range-counting as none of them was designed to support range-counting at the outset. In this paper, we aim to fill the gap and present RC-Sketch, a sketch that supports range-counting over rapid data stream. Empirical results show that RC-Sketch outperforms the state-of-the-art in range-count accuracy with comparable throughput.

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