Multi-Resource Scheduling for Multiple Service Function Chains with Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Multi-Resource Scheduling for Multiple Service Function Chains with Deep Reinforcement Learning

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS)
language:
Short-container-title:

Author:

He Rui¹,Ren Bangbang²,Xie Junjie³,Guo Deke²,Zhao Laiping¹

Affiliation:

1. Tianjin University,College of Intelligence and Computing,Tianjin,China,300350

2. National University of Defense Technology,Science and Technology on Information Systems Engineering Laboratory,Changsha,Hunan,China,410073

3. Institute of Systems Engineering, AMS,Beijing,China,100141

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10077887/10077888/10077893.pdf?arnumber=10077893

Reference22 articles.

1. Latency-aware VNF Chain Deployment with Efficient Resource Reuse at Network Edge

2. Network Function Virtualization-Aware Orchestrator for Service Function Chaining Placement in the Cloud

3. DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning

4. Embedding Service Function Tree With Minimum Cost for NFV-Enabled Multicast

5. Resource Management with Deep Reinforcement Learning

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