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Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach

  • Published:2022 Issue: Volume:10 Page:111254-111271
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Chetty Swarna B.1ORCID,Ahmadi Hamed2ORCID,Tornatore Massimo3ORCID,Nag Avishek1ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland

2. School of Physics, Engineering and Technology, University of York, York, U.K.

3. Department of Electronics and Information, Politecnico di Milano, Milan, Italy

Funder

School of Electrical and Electronic Engineering, University College Dublin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning based Dynamic Resource Allocation in 6G Network;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. A DDPG-Based Zero-Touch Dynamic Prioritization to Address Starvation of Services for Deploying Microservices-Based VNFs;IEEE Transactions on Machine Learning in Communications and Networking;2024

3. Cost-Aware Topological Decomposition of Virtual Network Function Forwarding Graphs;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

4. Joint VNF Decomposition and Migration for Cost-Efficient VNF Forwarding Graph Embedding;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Dynamic Prioritization and Adaptive Scheduling Using Deep Deterministic Policy Gradient for Deploying Microservice-Based VNFs;ICC 2023 - IEEE International Conference on Communications;2023-05-28
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