Dynamic Service Function Chain Orchestration for NFV/MEC-Enabled IoT Networks: A Deep Reinforcement Learning Approach

Network function virtualization (NFV) and mobile-edge computing (MEC) have been introduced by Internet service providers (ISPs) to deal with various challenges, which hinder them from satisfying ambitious quality of experience demands of the Internet-of-Things (IoT) applications. In NFV/MEC-enabled...

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Veröffentlicht in:	IEEE internet of things journal 2021-05, Vol.8 (9), p.7450-7465
Hauptverfasser:	Liu, Yicen, Lu, Hao, Li, Xi, Zhang, Yang, Xi, Leiping, Zhao, Donghao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Chains Cloud computing Deep learning Deep reinforcement learning (DRL) dynamic orchestration Edge computing Heuristic algorithms Internet of Things Internet of Things (IoT) Internet service providers Machine learning Mobile computing mobile-edge computing (MEC) network function virtualization (NFV) Resource management Routing service function chain (SFC) Terminals Virtual networks Virtualization
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