NFVdeep adaptive online service function chain deployment with deep reinforcement learning

With the evolution of network function virtualization (NFV), diverse network services can be flexibly offered as service function chains (SFCs) consisted of different virtual network functions (VNFs). However, network state and traffic typically exhibit unpredictable variations due to stochastically...

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Veröffentlicht in:	Proceedings of the International Symposium on Quality of Service S. 1 - 10
Hauptverfasser:	Xiao, Yikai, Zhang, Qixia, Liu, Fangming, Wang, Jia, Zhao, Miao, Zhang, Zhongxing, Zhang, Jiaxing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 24.06.2019
Schriftenreihe:	ACM Other Conferences
Schlagworte:	Computing methodologies > Machine learning Deep Reinforcement Learning Network Function Virtualization (NFV) Networks > Network algorithms > Control path algorithms > Network resources allocation Networks > Network components > Middle boxes > network appliances Networks > Network properties > Network dynamics QoS-Aware Resource Management Service Function Chain service function chain deep reinforcement learning network function virtualization (NFV) QoS-aware resource management
ISBN:	9781450367783, 145036778X
Online-Zugang:	Volltext
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