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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https://doi.org/10.1007/978-981-19-4815-2Network function virtualization; resource allocation; Quality-of-Service; algorithm design and optimiza

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Introduction,etwork services (e.g. High Dimensional Video), the IP traffic across the network increases exponentially. According to the Cisco Annual Internet Report Cisco (2020), the global average broadband speed continues to grow and will more than double from 2018 to 2023, from 45.9 Mbps to 110.4 Mbps. In the

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Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds,eal with NFV resource allocation include combinatorial optimization theory (e.g., randomized/LP rounding, primal-dual approximation), Deep Reinforcement 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 adjace

清楚

Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV,ted delay is satisfied. However, in addition to requested delay, resiliency is also an important Service Level Agreements (SLA) in a NFV service. In this chapter, we first investigate how to quantitatively model the traversing delay of a flow in both totally ordered and partially ordered SFCs. Subse

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Traffic Routing in Stochastic Network Function Virtualization Networks, in a stochastic manner, due to e.g., inaccurate data, expired exchanged information, insufficient estimation to the network. Motivated by this, we consider the stochastic NFV networks in this chapter, where the link bandwidth and delay are assumed to be random variables and their cumulative distrib