Optimizing the distributed network monitoring model with bounded bandwidth and delay constraints by neural networks

Authors:
Xianghui Liu;Jianping Yin;Zhiping Cai;Xicheng Lu;Shiming Chen
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, Hunan, China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, China;School of Computer Science, National University of Defense Technology, Changsha, Hunan, China;Ende Technology, Changsha, Hunan, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
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 Hopfield networks for finding aggregating nodes set. The simulation indicates that Hopfield networks can produce much better result than the current method of randomly picking aggregating nodes.