NFV and SDN—Key Technology Enablers for 5G Networks

Yousaf, Faqir Zarrar; Bredel, Michael; Schaller, Sibylle; Schneider, Fabian

doi:10.1109/jsac.2017.2760418

Cited by 270 publications

(139 citation statements)

References 9 publications

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“…Note that, both controllers manage and control their underlying resources via programmable southbound interfaces, implementing protocols like OpenFlow, NETCONF, and I2RS. 11 Each controller provides a different level of abstraction. While the TSDNC provides an overlay comprising tenant VNFs that define the network service(s), the ISDNC provides an underlay to support the deployment and connectivity of VNFs [76,92] .…”

Section: Nfv Management and Orchestration (Nfv Mano) Frameworkmentioning

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: Nfv Management and Orchestration (Nfv Mano) Frameworkmentioning

confidence: 99%

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

et al. 2020

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“…In addition, we also advocate the deployment of an SDN controller inside of a 5G slice on the control plane to implement QoS information collecting along with the topology discovery. Based on ETSI specifications, Yousaf et al proposes a network slice management and orchestration architecture for 5G networks, as shown in Figure , where the virtual infrastructure manager, eg, OpenStack and kernel‐based virtual machine (KVM), corresponds to the infrastructure manager, the virtual network function manager corresponds to the network slice manager, whereas the NFV Orchestrator (NFVO), eg, OpenStack Tacker, corresponds to the service instance layer. We extend this architecture by implementing a QoS information collector as an SDN controller module (the green rounded rectangle in the middle on the right; see details in Section 4).…”

Section: System Architecturementioning

confidence: 99%

Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices

Chen

Zhang

et al. 2018

Trans Emerging Tel Tech

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With the ever‐growing diversity of devices and applications that will be connected to 5G networks, flexible and agile service orchestration with acknowledged quality of experience (QoE) that satisfies the end user's functional and quality‐of‐service (QoS) requirements is necessary. Software‐defined networking (SDN) and network function virtualization (NFV) are considered key enabling technologies for 5G core networks. In this regard, this paper proposes a reinforcement learning–based QoS/QoE‐aware service function chaining (SFC) scheme in SDN/NFV‐enabled 5G slices. First, it implements a lightweight QoS information collector based on the Link Layer Discovery Protocol, which works in a piggyback fashion on the southbound interface of the SDN controller, to enable QoS‐awareness. Then, a deep Q‐network–based orchestration agent is designed to support SFC in the context of NFV. The agent takes into account the QoE and QoS as key aspects to formulate the reward so that it is expected to maximize QoE while respecting QoS constraints. The experiment results show that the proposed framework exhibits good performance in QoE provisioning and QoS requirements maintenance for SFC in dynamic network environments.

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“…The split information can be defined as shown in (3). The gain ration can be defined as shown in (4). The flowchart of decision tree construction is shown in Figure 4.…”

Section: G O Design Pattern and Dtbfr Mechanismmentioning

confidence: 99%

Micro Operator Design Pattern in 5G SDN/NFV Network

Tseng

Huang

Tseng

et al. 2018

Wireless Communications and Mobile Computing

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The trend of 5G mobile networks is increasing with the number of users and the transmission rate. Many operators are turning to small cell and indoor coverage of telecom network service. With the emerging Software Defined Networking and Network Function Virtualization technologies, Internet Service Provider is able to deploy their networks more flexibly and dynamically. In addition to the change of the wireless mobile network deployment model, it also drives the development trend of the Micro Operator ( O). Telecom operators can provide regional network services through public buildings, shopping malls, or industrial sites. In addition, localized network services are provided and bandwidth consumption is reduced. The distributed architecture of O tackles computing requirements for applications, data, and services from cloud data center to edge network devices or to the micro data center of O. The service model of O is capable of reducing network latency in response to the low-latency applications for future 5G edge computing environment. This paper addresses the design pattern of 5G micro operator and proposes a Decision Tree Based Flow Redirection (DTBFR) mechanism to redirect the traffic flows to neighbor service nodes. The DTBFR mechanism allows different Os to share network resources and speed up the development of edge computing in the future.

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NFV and SDN—Key Technology Enablers for 5G Networks

Cited by 270 publications

References 9 publications

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

Reinforcement learning–based QoS/QoE‐aware service function chaining in software‐driven 5G slices

Micro Operator Design Pattern in 5G SDN/NFV Network

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