SliceNet Control Plane for 5G Network Slicing in Evolving Future Networks

Luca, Baldini; Wang, Qi; Calero, José M. Alcaraz; Weiss, Maria Barros; Gavras, Anastasius; Bernini, Giacomo; Giardina, Pietro G.; Angelo, Ciriaco; Vasilakos, Xenofon; Chang, Chia‐Yu; Nikaein, Navid; Spadaro, Salvatore; Pages, Albert; Agraz, Fernando; Agapiou, George; Truong, Thuy; Κουτσόπουλος, Κωνσταντίνος; Cabaça, José; Figueiredo, Ricardo Rodrigues

doi:10.1109/netsoft.2019.8806707

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Work in [8] developed an AI-based network management system that provides an intent-based interface for network configuration. In [9], the authors target selforganizing network management mechanisms leveraging the NFV paradigm jointly with AI/ML technologies. But the two mentioned works share the same weakness: the management is still highly centralized and difficult to scale when the number of running slices is high.…”

Section: Related Workmentioning

confidence: 99%

Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G

Chergui

Ksentini

Blanco

et al. 2022

IEEE Wireless Commun.

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6G systems are expected to serve a massive number of extremely heterogeneous Network Slices that cross multiple technological domains (i.e., RAN, Edge, Cloud, and Core), posing significant challenges to classical centralized management and orchestration approaches in terms of scalability and sustainability. Within this context, distributed and intelligent management and orchestration system is mandatory. This paper proposes a novel framework featuring a distributed and AI-driven management and orchestration system for a massive deployment of network slices in 6G. The proposed framework is compliant of both ETSI standards focusing on autonomous and intelligent network management and orchestration, i.e., Zero touch Service Management (ZSM) and Experimental Networked Intelligent (ENI), leveraging their visions to enable autonomous as well as a scalable management and orchestration of network slices and their dedicated resources.

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Section: Related Workmentioning

confidence: 99%

Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G

Chergui

Ksentini

Blanco

et al. 2022

IEEE Wireless Commun.

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“…These studies make use of the programmability of both control and data planes. Baldini et al [31] described how the control plane of SliceNet is involved in meeting the E2E needs of different 5G verticals. Ricart-Sanchz et al [32] proposed a QoS-aware NS framework based on hardware acceleration to support data plane programmability [32].…”

Section: Qos Support For Reliable Nsmentioning

confidence: 99%

Resource Allocation Modeling for Fine-Granular Network Slicing in Beyond 5G Systems

Shu

Taleb

Song

2022

IEICE Trans. Commun.

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Through the concept of network slicing, a single physical network infrastructure can be split into multiple logically-independent Network Slices (NS), each of which is customized for the needs of its respective individual user or industrial vertical. In the beyond 5G (B5G) system, this customization can be done for many targeted services, including, but not limited to, 5G use cases and beyond 5G. The network slices should be optimized and customized to stitch a suitable environment for targeted industrial services and verticals. This paper proposes a novel Quality of Service (QoS) framework that optimizes and customizes the network slices to ensure the service level agreement (SLA) in terms of end-to-end reliability, delay, and bandwidth communication. The proposed framework makes use of network softwarization technologies, including software-defined networking (SDN) and network function virtualization (NFV), to preserve the SLA and ensure elasticity in managing the NS. This paper also mathematically models the end-to-end network by considering three parts: radio access network (RAN), transport network (TN), and core network (CN). The network is modeled in an abstract manner based on these three parts. Finally, we develop a prototype system to implement these algorithms using the open network operating system (ONOS) as a SDN controller. Simulations are conducted using the Mininet simulator. The results show that our QoS framework and the proposed resource allocation algorithms can effectively schedule network resources for various NS types and provide reliable E2E QoS services to end-users.

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“…Moreover, there is no simulation result. They extended the work in [101] to manage and control the network over multi-administrative domains to maximize the network resources that share across the network and reduce the capital expenditure. The main goal of the 5GPPP in the SliceNet platform builds E2E Network Slicing in multi-domain to optimize the capability of the QoS/QoE by using network controller style in a friendly softwarization environment.…”

Section: Current European Projectsmentioning

confidence: 99%

A Survey of Mobility Management as a Service in Real-Time Inter/Intra Slice Control

et al. 2021

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In-network softwarization, Network Slicing provides scalability and flexibility through various services such as Quality of Service (QoS) and Quality of Experience (QoE) to cover the network demands. For the QoS, a set of policies must be considered in real-time, accompanied by a group of functions and services to guarantee the end-user needs based on network demand. On the other hand, for the QoE, the service's performance needs to be improved to bring an efficient service to cover the demands of the end-user. The 3G Partnership Project (3GPP) defined the slice as a component of resources used to process a set of packets. These resources need to be flexible, which means the resources can be scaled up or down based on the demand. This survey discusses softwarization and virtualization techniques, considering how to implement the slices for future networks. Specifically, we discuss current advances concerning the functionality and architecture of the 5G network. Therefore, the paper critically evaluates recent research and systems related to mobility management as a service in real-time inter/intra slice control by considering the strengths and limitations of these contributions to identify the research gaps and possible research directions for emerging research and development opportunities. Moreover, we extend our review by considering the slice types and their numbers based on the 3GPP Technical Specification (3GPP TS). The study presented in this paper identifies open issues and research directions that reveal that mobility management at a service level with inter/intra slice management techniques has strong potential in future networks and requires further investigation from the research community to exploit its benefits fully.

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SliceNet Control Plane for 5G Network Slicing in Evolving Future Networks

Cited by 5 publications

References 4 publications

Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G

Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G

Resource Allocation Modeling for Fine-Granular Network Slicing in Beyond 5G Systems

A Survey of Mobility Management as a Service in Real-Time Inter/Intra Slice Control

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