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2005
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Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method

10 years 7 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answering a number of fundamental queries on data streams, such as range queries, finding quantiles, frequent items, etc. In the networking context, sketch has been applied to identifying heavy hitters and changes, which is critical for traffic monitoring, accounting, and network anomaly detection. In this paper, we propose a novel approach called lsquare to significantly improve the reconstruction accuracy of the sketch data structure. Given a sketch and a set of keys, we estimate the values associated with these keys by constructing a linear system and finding the optimal solution for the system using linear least squares method. We use a large amount of real Internet traffic data to evaluate lsquare against countmin, the state-of-the-art sketch scheme. Our results suggest that given the same memory requirem...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where IMC
Authors Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
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