A reference architecture for network slicing

Kukliński, Sławomir; Tomaszewski, Lechosław; Osinski, T.; Ksentini, Adlen; Frangoudis, Pantelis A.; Cau, Eleonora; Corici, Marius

doi:10.1109/netsoft.2018.8460057

Cited by 20 publications

(18 citation statements)

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“…Kotulski et al [267] provide a constructive approach to E2E slice isolation in 5G networks. Kukli ński et al [268] propose an approach for a single domain consisting of management and orchestration of slices which are distributed into several functional blocks. The NFV MANO complaint orchestration mechanisms employed in [261] for enabling 5G network slicing are adapted without any modifications.…”

Section: Orchestratormentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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Section: Orchestratormentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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“…The architectural approach of the 5G!Pagoda project [36] serves as the basis for our work. This architecture allows for hierarchical orchestration, the tenants can directly manage their slices, and the management plane is a part of each slice [37]. Independent slicing of each plane (i.e., user, control and management planes) and recursive vertical stitching of them (further described in subsection IV-B2) are allowed.…”

Section: Related Workmentioning

confidence: 99%

6G-LEGO: A framework for 6G network slices

et al. 2021

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“…𝐻 𝑑,𝑘,𝑜 = 𝜓 𝑑,𝑘 𝜌 𝑜,𝑘 Pr 𝑑,𝑘,ℎ 𝑜 (10) Next, we take a close-up view of the bidding vector of a MVNO. To this end, an MVNO 𝑑 can bid for resources from different InPs such that for ease of exposition, the bidding vector 𝝍 𝒅 = (𝜓 𝑑,1 , 𝜓 𝑑,2 , … , 𝜓 𝑑,𝑖 ).…”

Section: Multi-domaingames Frameworkmentioning

confidence: 99%

“…On the other hand, in the single domain model, the NS resources are primarily from the virtualised resources of only one InP. A vast corpus of literature on NS has focused on the single domain model despite its non-lexibility and limited resource constraints which make it unsuitable for the future mobile networks [8,10]. In Fig.…”

Section: Introductionmentioning

confidence: 99%

Multi-tier multi-tenant network slicing: A multi-domain games approach

Oladejo¹,

Ekwe²,

Akinyemi³

2021

ITU-J FET

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The 5G slice networks will play a critical role in meeting the stringent quality-of-service requirements of different use cases, reducing the Capital Expenditure (CapEX) and Operational Expenditure (OpEX) of mobile network operators. Owing to the flexibility and ability of 5G slice networks to meet the needs of different verticals, it attracts new network players and entities to the mobile network ecosystem, and therefore it creates new business models and structures. Motivated by this development, this paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from a multiplayer multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising Infrastructure Providers (InPs), Mobile Virtual Network Operators (MVNOs), Service Providers (SPs), and slice users are investigated. We propose two schemes: a multi-tier multi-domain slice user matching game scheme and a distributed backtracking multiplayer multi-domain game scheme in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a Genetic Algorithm (GA) Intelligent Latency-Aware Resource (GI-LARE) allocation scheme, and a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme significantly outperforms these other schemes.

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A reference architecture for network slicing

Cited by 20 publications

References 1 publication

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

6G-LEGO: A framework for 6G network slices

Multi-tier multi-tenant network slicing: A multi-domain games approach

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