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首页> 外文期刊>Mobile networks & applications >Enhancing a Fuzzy Logic Inference Engine through Machine Learning for a Self- Managed Network
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Enhancing a Fuzzy Logic Inference Engine through Machine Learning for a Self- Managed Network

机译：通过机器学习为自管网络增强模糊逻辑推理引擎

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摘要

Existing network management systems have static and predefined rules or parameters, while human intervention is usually required for their update. However, an autonomic network management system that operates in a volatile network environment should be able to adapt continuously its decision making mechanism through learning from the system's behavior. In this paper, a novel learning scheme based on the network wide collected experience is proposed targeting the enhancement of network elements' decision making engine. The algorithm employs a fuzzy logic inference engine in order to enable self-managed network elements to identify faults or optimization opportunities. The fuzzy logic engine is periodically updated through the use of two well known data mining techniques, namely k-Means and k-Nearest Neighbor. The proposed algorithm is evaluated in the context of a load identification problem. The acquired results prove that the proposed learning mechanism improves the deduction capability, thus promoting our algorithm as an attractive approach for enhancing the autonomic capabilities of network elements.
机译：现有的网络管理系统具有静态和预定义的规则或参数，而更新通常通常需要人工干预。但是，在易变的网络环境中运行的自主网络管理系统应该能够通过从系统行为中学习来不断适应其决策机制。本文针对网络元素决策引擎的增强，提出了一种基于网络广泛经验的新型学习方案。该算法采用模糊逻辑推理引擎，以使自我管理的网络元素能够识别故障或优化机会。通过使用两种众所周知的数据挖掘技术（即k-Means和k-Nearest Neighbor）来定期更新模糊逻辑引擎。所提出的算法是在负载识别问题的背景下进行评估的。获得的结果证明，所提出的学习机制提高了推论能力，从而将我们的算法推广为增强网络元素自主能力的一种有吸引力的方法。

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  • 来源
    《Mobile networks & applications》 |2011年第4期|p.475-489|共15页
  • 作者

    Panagis Magdalinos; Apostolos Kousaridas; Panagiotis Spapis; George Katsikas; Nancy Alonistioti;

  • 作者单位

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 157-84, Athens, Greece;

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 157-84, Athens, Greece;

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 157-84, Athens, Greece;

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 157-84, Athens, Greece;

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 157-84, Athens, Greece;

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  • 正文语种 eng
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  • 关键词

    network self-management; future internet; fuzzy logic; data mining;

    机译：网络自我管理;未来的互联网;模糊逻辑;数据挖掘;

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