Flyweight Network Functions for Network Slicing in IoT

AbstractNetwork slicing will permit offering to vertical customers tailored end-to-end logical networks in an on-demand fashion, on top of a common telecom infrastructure, achieving a Slices-as-a-Service (SlaaS) business model. This is possible due to the progressive introduction of network softwarization techniques, such as programmability and virtualization, into existing operational networks, enabling dynamic and flexible provision of slices. Those vertical customers could require the control not only of the network functions composing the end-to-end service, but also of the connectivity among them, e.g., for influencing the paths for steering traffic among function instances. However, this can be problematic since decisions from one vertical customer can collide with decisions from others. One aspect not yet sufficiently investigated is how to permit vertical customers to jointly control the service functions and the underlay connectivity, in such a way that could operate the allocated slice as if it was actually a dedicated network entirely for them. This paper explores some architectural proposition in this respect illustrated with some potential use cases and it provides an example of the provision of SlaaS for a vertical customer.

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A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular Networks

Telecom ◽

10.3390/telecom2010009 ◽

2021 ◽

Vol 2 (1) ◽

pp. 141-154

Author(s):

Farnoush Falahatraftar ◽

Samuel Pierre ◽

Steven Chamberland

Keyword(s):

Vehicular Networks ◽

Real Data ◽

Software Defined Network ◽

Network Congestion ◽

Generative Adversarial Network ◽

Network Slicing ◽

Adversarial Network ◽

Intelligent Software ◽

Dynamic Type ◽

Network Functions

Heterogeneous Vehicular Network (HetVNET) is a highly dynamic type of network that changes very quickly. Regarding this feature of HetVNETs and the emerging notion of network slicing in 5G technology, we propose a hybrid intelligent Software-Defined Network (SDN) and Network Functions Virtualization (NFV) based architecture. In this paper, we apply Conditional Generative Adversarial Network (CGAN) to augment the information of successful network scenarios that are related to network congestion and dynamicity. The results show that the proposed CGAN can be trained in order to generate valuable data. The generated data are similar to the real data and they can be used in blueprints of HetVNET slices.

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BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING

Acta Electrotechnica et Informatica ◽

10.15546/aeei-2020-0026 ◽

2021 ◽

Vol 20 (4) ◽

pp. 54-59

Author(s):

Taras MAKSYMYUK ◽

◽

Volodymyr ANDRUSHCHAK ◽

Stepan DUMYCH ◽

Bohdan SHUBYN ◽

...

Keyword(s):

Software Defined Radio ◽

Network Architecture ◽

Radio Resource Management ◽

Mobile Network ◽

Network Slicing ◽

5G Network ◽

Radio Resources ◽

Network Functions ◽

Mobile Network Operators

The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different mobile network operators and effective management of radio resources. Experimental testbed of the proposed system has been implemented by using cloud and edge computing infrastructure and software defined radio peripheral NI USRP 2900. Simulation results of the network slicing and radio resource management shows that proposed system is able to double the capacity of the physical network infrastructure, while ensuring the target quality of service for all users.

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SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Sensors ◽

10.3390/s21113773 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3773

Author(s):

Robert Botez ◽

Jose Costa-Requena ◽

Iustin-Alexandru Ivanciu ◽

Vlad Strautiu ◽

Virgil Dobrota

Keyword(s):

Web Services ◽

Mobile Network ◽

High Availability ◽

Core Network ◽

Network Resources ◽

Network Slicing ◽

5G Network ◽

Amazon Web Services ◽

Network Functions ◽

End To End

Managing the large volumes of IoT and M2M traffic requires the evaluation of the scalability and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedicated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

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