Evolution of Artificial Intelligent Plane
Puneet Kumar

TL;DR
This paper surveys the development and techniques of the AI plane in networks, providing a comprehensive framework for comparison, highlighting challenges, and guiding future research in network automation.
Contribution
It introduces the first complete survey and comparison framework for AI plane techniques across various network types, addressing key challenges and design considerations.
Findings
Provides a systematic comparison of AI plane techniques
Identifies key challenges and design considerations
Highlights future research directions in network AI
Abstract
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…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Metaheuristic Optimization Algorithms Research · Cellular Automata and Applications
