Network Slice Lifecycle Management Model for NFV-based 5G Virtual Mobile Network Operators

Cárdenas, Andrés Felipe Peláez; Fernández, David

doi:10.1109/nfv-sdn50289.2020.9289883

Cited by 13 publications

(9 citation statements)

References 18 publications

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“…The present work proposes extending the network slicing system model defined by the 3GPP to provide MVNOs with network slicing management capabilities similar to those available for MNOs based on the NSaaS concept. A first approach to these extensions was introduced in [11]. This paper completes and extends the previous work with the following contributions:…”

Section: Introductionsupporting

confidence: 60%

Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators

Cárdenas¹,

Fernández

Lentisco

et al. 2021

IEEE Access

Self Cite

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Network slicing is a key element in 5G networks. It allows a mobile network operator (MNO) to offer multiple logical networks tailored to the requirements of different industry verticals over a shared infrastructure. From the point of view of an MNO, a mobile virtual network operator (MVNO) is a particular type of vertical network requiring not only the provision of logical networks with specific infrastructure resources but also customized management capabilities to allow the MVNO to offer network slice-based services to its clients over the infrastructure of multiple MNOs. However, the lack of flexibility to provide a customized and efficient network slice management system per tenant under the current proposals of the 3rd Generation Partnership Project (3GPP) and European Telecommunications Standards Institute (ETSI) limits the possibilities of MVNOs. This paper addresses this requirement by proposing a novel virtualized multidomain and multiclient orchestration system aligned with the functionalities of the network slicing management framework proposed by the 3GPP and ETSI. In particular, there are three contributions of this paper: (i) an extended service-based architecture is designed to provide an isolated management system to different MVNOs; (ii) a novel high-level slice instance template is defined to specify management and isolation requirements supporting network slicing as a service model; and (iii) finally, a teleoperated driving use case is described to showcase how our proposal provides an MVNO with an independent management system to orchestrate several network slices in cross-domain environments.

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Section: Introductionsupporting

confidence: 60%

Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators

Cárdenas¹,

Fernández

Lentisco

et al. 2021

IEEE Access

Self Cite

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“…Moreover, datasets containing sensor data and failure cases of machines that can be used for a real predictive maintenance and intelligent manufacturing are also very limited. The energy consumption situation of a smart factory at a trial site in Aachen/Cologne Germany is provided by the EU FINESCE project 35 . A complete production line dataset was published by the company Bosch [220] as part of the data challenge at the IEEE BigData 2016 conference.…”

Section: Discussion and Remarks 1) Computational Complexity And Resou...mentioning

confidence: 99%

“…The lifecycle management of the chained service is also maintained by the MANO. NFV can provide the flexibility and elasticity of network slicing for service deployment in virtual environments [35]- [37].…”

Section: B Enabling Technologiesmentioning

confidence: 99%

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

Dai²,

Wang

et al. 2022

IEEE Commun. Surv. Tutorials

166

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“…This involves the development and evaluation of algorithms that intend to predict and address the network's resources needs dynamically by deploying VNF instances over the virtualized infrastructure. The works given in [23], [24], [25] and [26] provide a model of these solutions.…”

Section: State Of the Artmentioning

confidence: 99%

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

Muro¹,

Baena²,

Fortes³

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The generalization in the use of virtualization in the upcoming generation of cellular networks involves new paradigms and approaches for their management. The correct sharing of the underlying resources between multiple virtualized network functions as well as any other processes sharing the same computational platform implies a complex architecture that makes virtualization challenging. As a result, numerous variables (e.g., computational capacity) were mostly ignored by previous management systems, but that can now lead to relevant impacts on the service performance. In this virtualized scenario with multiple coexistent processes over the same hardware, a "Noisy Neighbour" (NN) is identified as an entity that uses most of the underlying resources while other virtual units suffer a lack of them. While difficult to identify, such situations can affect the network service. In this context, the present work analyzes and assesses the NN problem for 5G Core scenarios. A complete emulated 5G network and analysis framework is defined and developed to evaluate the impact of a noisy entity. In this way, the degradation that Key Performance Indicators suffer in the network and by the end-users when a NN appears is assessed. Thus, the present work proposes a baseline for handling NN through a novel lifecycle management flow. For this purpose, it is evaluated the effectiveness of multiple Machine Learning (ML) models for the identification of NN, based on the metrics gathered from the proposed framework, achieving 99% of accuracy. Moreover, ML is applied to develop a method for network performance inference, along with a prediction model to forecast the number of CPU resources the network may demand at any given time supporting the proposed management flow.

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Network Slice Lifecycle Management Model for NFV-based 5G Virtual Mobile Network Operators

Cited by 13 publications

References 18 publications

Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators

Enhancing a 5G Network Slicing Management Model to Improve the Support of Mobile Virtual Network Operators

A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

Noisy Neighbour Impact Assessment and Prevention in Virtualized Mobile Networks

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