An adaptive method for identifying heavy hitters combining sampling and data streaming counting

Abstract

Identifying heavy hitters is essential for network monitoring, management, charging and etc. Existing methods in the literature have some limitations. How to reduce the memory consumption effectively without compromising identification accuracy is still challenging. In this paper, an adaptive method combining sampling and data streaming counting is proposed… (More)

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