一种基于循环布隆滤波的有效流量计数算法

Yong Sun, Zhibin Zhang, Li Guo, Shuo Bai, Jianlong Tan
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引用次数: 2

摘要

基于流量的网络流量分析在网络监控和P2P识别中起着重要的作用。它们都以流量计数为基础,在计数方式上有所不同。超时检测是识别流终止的主要策略,它会影响流计数的有效性。基于哈希方法的流量计数算法不能很好地处理超时问题。本文提出了一种基于环形布隆滤波器的新算法。在高速链路上,通过超时检测可以更准确地估计活动流量。实验结果表明,该算法在保证精度的同时只消耗最小的时间和内存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Effective Algorithm for Counting Active Flows Based on Loop Bloom Filter
Network traffic analysis based on flows plays an important role in network monitoring and P2P identification. They are all grounded in flow counting and differ in how to count. Timeout detecting is a major strategy to identify termination of flows and can influence the validity of flow counting. The algorithms for counting flow based on Hash method can't deal with timeout problems perfectly. In this paper, a novel algorithm based on loop bloom filter is proposed. It can estimate active flow with timeout detection on high speed links more accurately. Experiment results show that this algorithm can ensure accuracy while only consuming minimum time and memories.
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