Finding hierarchical heavy hitters in network measurement system

  • Authors:
  • Yunqi Li;Jiahai Yang;Changqing An;Hui Zhang

  • Affiliations:
  • Network Research Center of Tsinghua University, P.R China;Network Research Center of Tsinghua University, P.R China;Network Research Center of Tsinghua University, P.R China;Network Research Center of Tsinghua University, P.R China

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Focused on identifying hierarchical heavy hitters (HHH) in multiple dimensions from network management perspective, this paper presents a framework of finding HHHs in network measurement systems and proposes a heuristic algorithm on finding static and dynamic HHH in two dimensions. Our algorithm dramatically reduces the space and time complexity comparing with other previous algorithms. We implement and test it in a typical local network and the experimental results verify the effectiveness and efficiency of the algorithm.