论文标题

人工智能飞机的进化

Evolution of Artificial Intelligent Plane

论文作者

Kumar, Puneet

论文摘要

随着互联网的增长,它变得越来越难管理,配置和监视网络。控制和操作它们的最新趋势是基于人工智能的自动化,以最大程度地减少人类干预。尽管这一概念是从十年开始引入了几个不同名称的,但基本目标仍然相同,这是使网络足够智能的,以组装,如果配置发生变化,并重新组装,并自行检测到问题并修复它。结果,除了数据平面,控制平面和管理平面外,还引入了称为人工智能(AI)平面的新平面。我们的主要目的是分析各种网络中提出的所有主要AI平面技术,框架和算法。我们提出了一个全面的独立网络框架,以涵盖AI平面的各个方面,特别是我们提供了一种系统上的比较手段。为了使AI平面更简单,该框架强调了对未来研究的相关挑战和设计考虑因素。据我们所知,这是第一份调查报告,它代表了AI飞机与他们在几种类型的网络中的调查问题的完整比较。

With the growth of the internet, it is becoming hard to manage, configure and monitor networks. Recent trends to control and operate them is artificial intelligence based automation to minimize human intervention. Albeit this concept has been introduced since a decade with several different names, but the underlying goal remains the same, which is to make network intelligent enough to assemble, reassemble if configuration changes, and detect a problem on its own and fix it. As a result, in addition to Data Plane, Control Plane and Management Plane, a new plane called Artificial Intelligence (AI) Plane is introduced. Our main objective is to analyze all major AI plane techniques, frameworks and algorithms proposed in various types of networks. We propose a comprehensive and network independent framework to cover all aspects of AI plane, in particular we provide a systematically means of comparison. In conjunction to make AI plane understand simpler, this framework highlights relevant challenges and design considerations for future research. To the best of our knowledge this is the first survey report which represents a complete comparison of AI planes with their investigation issues in several types of networks.

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