Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES
IEEE INFOCOM 2024-IEEE CONFERENCE ON COMPUTER COMMUNICATIONS（2024）
关键词
Functional Networks,Environmental Changes,Multiple Agents,Scheduling Decisions,Virtual Network Functions,Link Failure,Benchmark,Scaling Factor,Network Topology,Per Site,Shortest Path,Reward Function,Markov Decision Process,Active Vectors,Arrival Rate,Remote Sites,Traffic Model,Network Latency,Trained Agent,Multi-agent Reinforcement Learning,Packet Arrival,Processing Latency,Time Of Packets
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