Simplifying Network Management with Fuzzy Logic

S. Sohail, Aasia Khanum
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引用次数: 12

Abstract

This paper advocates the use of machine learning for complex network management tasks. Specifically, this paper describes a novel idea of using fuzzy logic for effective network management, as the use of imprecise and linguistic information for intelligent decision making, can reduce the overhead of extensive network measurements for management purpose. It also describes the distinguishing features of network management that makes fuzzy logic suitable to be used in this field. Among a huge number of possible applications of this idea in broad area of network management, this paper briefly discusses few options that we are planning to explore further. In addition, it discusses one such option in detail.
用模糊逻辑简化网络管理
本文提倡将机器学习用于复杂的网络管理任务。具体来说,本文描述了一种使用模糊逻辑进行有效网络管理的新思想,因为使用不精确和语言信息进行智能决策,可以减少用于管理目的的大量网络测量的开销。描述了网络管理的特点,使模糊逻辑适用于网络管理领域。在广泛的网络管理领域中,这一思想的大量可能应用中,本文简要讨论了我们计划进一步探索的几个选项。此外,还详细讨论了这样一个选项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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