Titlebook: Resource Allocation in Network Function Virtualization; Problems, Models and Song Yang,Nan He,Xiaoming Fu Book 2023 The Editor(s) (if appli

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A-DDPG: Attention Mechanism-Based Deep Reinforcement Learning for NFV,d is proposed to solve it, at the expense of ignoring the network state dynamics. To bridge that gap, in this chapter, we formulate the VNF placement and traffic routing problem as a Markov Decision Process model to capture the dynamic network state transitions. In order to jointly minimize the dela

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Summarization and Future Work,ibility and scalability, short deployment cycles, etc. These advantages of NFV makes it very promising to become network provisioning service paradigm in the next generation. This book focuses on a dedicated but important aspect of NFV, that is, resource allocation problem in NFV. More specifically,

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Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds,nt Learning, Game theory, etc. In this chapter, we study the problem of how to place VNFs on edge and public clouds and route the traffic among adjacent VNF pairs, such that the maximum link load ratio is minimized and each user’s requested delay is satisfied.

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cts, and students.Provides vital technical and theoretical i.Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities. Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various

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Resource Allocation in Network Function VirtualizationProblems, Models and

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