RQAP: Resource and QoS Aware Placement of Service Function Chains in NFV-Enabled Networks

Author:

Huang Haojun1ORCID,Tian Jialin2ORCID,Yin Hao3ORCID,Min Geyong2ORCID,Wu Dapeng4ORCID,Miao Wang5ORCID

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. Department of Computer Science, University of Exeter, Exeter, U.K.

3. Tsinghua University, Beijing, China

4. Department of Computer Science, City University of Hong Kong, Hong Kong

5. Department of Computer Science, University of Plymouth, Plymouth, U.K.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Cited by 3 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. Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance;Electronics;2024-06-28

2. Efficient Online Scheduling of Service Function Chains Across Multiple Geo-Distributed Regions;IEEE Transactions on Network and Service Management;2024-06

3. DRL-Based Two-Stage SFC Deployment Approach Under Latency Constraints;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

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