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Proceedings ArticleDOI

A Multi-agent Controller to enable Cognition in Software Defined Networks

TLDR
This work proposes a new architecture for an SDN controller to enable intelligence based on Multi-agent systems and builds a MAS-SDN controller using the GOAL agent programming language.
Abstract
Current SDN controllers are not cognitive. We propose a new architecture for an SDN controller to enable intelligence. The proposed new architecture is based on Multi-agent systems. As a prototype, we have built a MAS-SDN controller using the GOAL agent programming language. We highlight the motivation behind the new architecture, describe the architecture and provide some initial results.

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Book

Artificial Intelligence: A Modern Approach

TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.

BDI Agents: From Theory to Practice

TL;DR: This paper explores a particular type of rational agent, a BeliefDesire-Intention (BDI) agent, and integrates the theoretical foundations of BDI agents from both a quantitative decision-theoretic perspective and a symbolic reasoning perspective.
Journal ArticleDOI

A survey of techniques for internet traffic classification using machine learning

TL;DR: This survey paper looks at emerging research into the application of Machine Learning techniques to IP traffic classification - an inter-disciplinary blend of IP networking and data mining techniques.
Proceedings ArticleDOI

Internet traffic classification using bayesian analysis techniques

TL;DR: This work applies a Naïve Bayes estimator to categorize traffic by application using samples of well-known traffic to allow the categorization of traffic using commonly available information alone, and demonstrates the high level of accuracy achievable with this estimator.
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