DRL-based Slice Placement Under Non-Stationary Conditions
2021 17th International Conference on Network and Service Management (CNSM)(2021)
摘要
We consider online learning for optimal network slice placement under the assumption that slice requests arrive according to a non-stationary Poisson process. We propose a framework based on Deep Reinforcement Learning (DRL) combined with a heuristic to design algorithms. We specifically design two pure-DRL algorithms and two families of hybrid DRL-heuristic algorithms. To validate their performan...
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关键词
Network Slicing,Deep Reinforcement Learning,Placement,Optimization
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