Optimizing the distributed network monitoring model with bounded bandwidth and delay constraints by genetic algorithm

  • Authors:
  • Xianghui Liu;Jianping Yin;Zhiping Cai;Xueyuan Huang;Shiming Chen

  • Affiliations:
  • School of Computer Science, National University of Defense Technology, Changsha City, Hunan Province, PRC;School of Computer Science, National University of Defense Technology, Changsha City, Hunan Province, PRC;School of Computer Science, National University of Defense Technology, Changsha City, Hunan Province, PRC;Ende Technology, Changsha City, Hunan Province, PRC;Ende Technology, Changsha City, Hunan Province, PRC

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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Abstract

Designing optimal measurement infrastructure is a key step for network management. In this work the goal of the optimization is to identify a minimum aggregating nodes set subject to bandwidth and delay constraints on the aggregating procedure. The problem is NP-hard. In this paper, we describe the way of using Genetic Algorithm for finding aggregating nodes set. The simulation indicates that Genetic Algorithm can produce much better result than the current method of randomly picking aggregating nodes.