吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1159-1164.doi: 10.13229/j.cnki.jdxbgxb201404039

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Adaptive algorithm of identifying and measuring elephant flow based on least recently used replacement

REN Gao-ming, XIA Jing-bo, QIAO Xiang-dong, YANG Tong   

  1. College of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
  • Received:2013-04-07 Online:2014-07-01 Published:2014-07-01

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Abstract: The adaptivity of the existing methods of elephant flow identification is poor and can not meet the needs of engineering application. In order to solve this problem, a novel algorithm based on Least Recently Used (LRU) replacement was developed. The algorithm has two caches, flow merge cache and LRU cache. First, the packet goes into flow merge cache and is matched to flow records according to flow keywords, and the length of flow is estimated. In the meantime, the threshold is changed with the previous length of the flow estimated by LRU cache in real time. Then the estimation of the flow is compared with the threshold; if the estimated length of the flow is longer than threshold, the packet belongs to the flow can go into LRU cache and be further filtered, otherwise the packet is abandoned. To guarantee the filtering effect and real-time performance, a method of setting up the threshold of time span was proposed. Theoretical analysis and experiment results illustrate that the algorithm can guarantee the accuracy, improve the adaptivity, and is more suitable for engineering application.

Key words: computer application, traffic measurement, elephant flows, adaptive algorithm, least recently used

CLC Number: 

  • TP393
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