Intelligent Link Load Control in a Segment Routing network via Deep Reinforcement Learning

2022 25th Conference on Innovation in Clouds, Internet and Networks (ICIN)(2022)

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摘要
In this paper we propose a framework based on Deep Reinforcement Learning to proactively and autonomously maintain the links load of a Segment Routing (SR) node under a pre-fixed threshold at milliseconds time scale. A local agent, powered by a Deep Q-Network (DQN) algorithm, referred to as intelligent Link Load Control (iLLC), selects are-routing operation to move traffic flows from overloaded li...
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关键词
Self Driving Networks,Segment Routing,Deep Reinforcement Learning,Traffic Engineering
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