Parallel Deployment of Service Function Chains Based on Network State Prediction
Author:
Affiliation:
1. The School of Computer and Artificial Intelligence, Zhengzhou University, China
2. The School of Cyber Science and Engineering, Zhengzhou University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3654446.3654507
Reference15 articles.
1. Traffic Engineering Based on Reinforcement Learning for Service Function Chaining With Delay Guarantee
2. He R, Ren B, Xie J, Multi-Resource Scheduling for Multiple Service Function Chains with Deep Reinforcement Learning [C]//2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2023: 665-672.
3. Application of an Innovative Convolutional/LSTM Neural Network for Computing Resource Allocation in NFV Network Architectures
4. Reconfiguration Aware Orchestration for Network Function Virtualization With Time-Varied Workload in Virtualized Datacenters
5. Near-Optimal Energy-Efficient Algorithm for Virtual Network Function Placement
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