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Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Genetic Algorithm

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3611))

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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.

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Author information

Authors and Affiliations

  1. School of Computer Science, National University of Defense Technology, Changsha City, Hunan Province, 410073, PRC

    Xianghui Liu, Jianping Yin & Zhiping Cai

  2. Ende Technology, Changsha City, Hunan Province, 410073, PRC

    Xueyuan Huang & Shiming Chen

Authors
  1. Xianghui Liu
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  2. Jianping Yin
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  3. Zhiping Cai
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  4. Xueyuan Huang
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  5. Shiming Chen
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, X., Yin, J., Cai, Z., Huang, X., Chen, S. (2005). Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Genetic Algorithm. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_128

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  • DOI: https://doi.org/10.1007/11539117_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28325-6

  • Online ISBN: 978-3-540-31858-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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