Highly Compact Virtual Counters for Per-Flow Traffic Measurement through Register Sharing
You Zhou, Yian Zhou, Min Chen, Qingjun Xiao, Shigang Chen · 2016
Per-flow traffic measurement is a fundamental problem in the era of big network data, providing critical information for many practical applications including capacity planning, traffic engineering, data accounting, resource management, and scan/intrusion detection in modern computer networks. It is challenging to design highly compact data structures for approximate per-flow measurements. In this paper, we show that a highly compact virtual counter architecture can achieve fast processing speed (slightly more than 1 memory access per packet) and provide accurate measurement results under tight memory allocation. Extensive experiments based on real network trace data demonstrate its superior performance over the best existing work.