A Lightweight Toolchain to Validate, Visualize, Analyze, and Deploy ETSI NFV TopologiesBehaviors

Merle, Philippe; Sylla, Adja Ndeye; Ouzzif, Meryem; Klamm, Frederic

doi:10.1109/netsoft.2019.8806632

Cited by 2 publications

(1 citation statement)

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“…The descriptors are the deployment templates that define the operational, performance, functional, and policy requirements, as well as the required resources, of each of the virtual components of a RAN slice [77]. They are written in data modelling languages such as YAML, TOSCA, YANG, or others [88]. The information contained in these modeldriven descriptors enables the NFV-MANO to manage the vCU, vDU, and their associated virtual resources with full automation and a great level of control throughout their life time.…”

Section: B the Nfv-mano For Ran Slicesmentioning

confidence: 99%

Mapping the VNFs and VLs of a RAN Slice Onto Intelligent PoPs in Beyond 5G Mobile Networks

Habibi

Yousaf²,

Schotten

2022

IEEE Open J. Commun. Soc.

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The mapping of a virtual network service onto a physical network infrastructure is a challenging task due to the joint allocation of virtual resources across nodes and links, the diverse technical requirements of end-users, the coordination between multiple host domains, and others. This issue is exacerbated further by the extension of virtualization to the next-generation radio access network (NG-RAN) architecture and the provisioning of radio access network (RAN) slicing. To that end, this article focuses on the mapping problem of the virtual network functions (VNFs), as well as their internal and external virtual links (VLs), of a RAN slice subnet onto intelligent points of presence (I-PoPs) and transport networks in the NG-RAN architecture. In this context, in contrast to the majority of the state-of-the-art proposals, which frequently fail to achieve performance objectives and neglect resource allocation constraints, this article introduces automation and intelligence at an architectural level to map VNFs and VLs onto their corresponding physical nodes and links, with the goal of achieving superior efficiency in virtual resource utilization while granting the performance of a RAN slice subnet. Benefiting from a top-down approach, the key contributions of this article are: (i) to extend the architectural framework of network slicing towards the NG-RAN architecture and provide a comprehensive overview and critical analysis of the components and functionalities of a RAN slice subnet; (ii) to integrate the Experiential Network Intelligence (ENI) framework into a joint architecture of the network functions virtualization-management and orchestration (NFV-MANO), Third Generation Partnership Project-network slicing management system (3GPP-NSMS), and I-PoPs in order to render automation and intelligence to the management and orchestration aspects of a RAN slice subnet in the NG-RAN architecture; and (iii) to propose a learning-assisted architectural solution for mapping the VNFs, as well as their internal and external VLs, of a RAN slice subnet onto the underlying I-PoPs and transport networks.

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Section: B the Nfv-mano For Ran Slicesmentioning

confidence: 99%