SDN-based service function chaining mechanism and service prototype implementation in NFV scenario

Trajkovska, Irena; Kourtis, Michail-Alexandros; Sakkas, Christos; Baudinot, Denis; Silva, Joo; Harsh, Piyush; Xylouris, George; Bohnert, Thomas Michael; Koumaras, Harilaos

doi:10.1016/j.csi.2017.01.002

Cited by 30 publications

(15 citation statements)

References 15 publications

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“…In the UAV industry, the virtualisation process affects various components that are offloaded from the UAV, such as the pilot and the C2 components, as this paper presents. NFV usually couples with SDN, which introduces support for dynamic programmability of network nodes enabling the separation of control and date planes [21].…”

Section: G System Impact On Uavs 21 Impact Of 5g Key Features On Uavsmentioning

confidence: 99%

5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

et al. 2021

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Recently Unmanned Aerial Vehicles (UAVs) have evolved considerably towards real world applications, going beyond entertaining activities and use. With the advent of Fifth Generation (5G) cellular networks and the number of UAVs to be increased significantly, it is created the opportunity for UAVs to participate in the realisation of 5G opportunistic networks by carrying 5G Base-Stations to under-served areas, allowing the provision of bandwidth demanding services, such as Ultra High Definition (UHD) video streaming, as well as other multimedia services. Among the various improvements that will drive this evolution of UAVs, energy efficiency is considered of primary importance since will prolong the flight time and will extend the mission territory. Although this problem has been studied in the literature as an offline resource optimisation problem, the diverse conditions of a real UAV flight does not allow any of the existing offline optimisation models to be applied in real flight conditions. To this end, this paper discusses the amalgamation of UAVs and 5G cellular networks as an auspicious solution for realising energy efficiency of UAVs by offloading at the edge of the network the Flight Control System (FCS), which will allow the optimisation of the UAV energy resources by processing in real time the flight data that have been collected by onboard sensors. By exploiting the Multi-access Edge Computing (MEC) architectural feature of 5G as a technology enabler for realising this offloading, the paper presents a proof-of-concept implementation of such a 5G-enabled UAV with softwarized FCS component at the edge of the 5G network (i.e., the MEC), allowing by this way the autonomous flight of the UAV over the 5G network by following control commands mandated by the FCS that has been deployed at the MEC. This proof-of-concept 5G-enabled UAV can support the execution of real-time resource optimisation techniques, a step-forward from the currently offline-ones, enabling in the future the execution of energy-efficient and advanced missions.

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Section: G System Impact On Uavs 21 Impact Of 5g Key Features On Uavsmentioning

confidence: 99%

5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

et al. 2021

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“…Service Function Chaining (SFC) (Sec. IV-C) Qu, L., et al [73] Reliability 2017 Zhang, L., et al [74] Network Coding 2017 Trajkovska, I., et al [75] SDN-based SFC 2017 Jang, I., et al [76] SFC placement 2017 Bhamare, D., et al [77] SFC placement 2017 Hawilo, H., et al [78] SFC placement 2019 Xiang, Z., et al [79] Tactile Internet 2019…”

Section: B Network Slicing (Ns)mentioning

confidence: 99%

“…Results have shown increased throughput (C9) and higher robustness of multicast sessions. Also, SFC concepts have been adopted in SDN-based approaches as in [75]. Trajkovska, I., et al have proposed an SDN-based SFC mechanism with performance and scalability (C2) in mind, designed to ensure tenant isolation (C4).…”

Section: Service Function Chaining (Sfc)mentioning

confidence: 99%

Towards Low-Latency Service Delivery in a Continuum of Virtual Resources: State-of-the-Art and Research Directions

Santos

Wauters

Volckaert

et al. 2021

IEEE Commun. Surv. Tutorials

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“…As mentioned in our previous work [30], all the LTE core network nodes are hosted in a server and each of these nodes is represented by a VNF. We could represent a slice in the core network as a set of VNFs link together as a chain form [32], [33]. Therefore, a slice resource allocation could be represented as a forwarding graph, which refers to the sequence of executions for different VNFs.…”

Section: A Nsrm System Architectural Modelmentioning

confidence: 99%

An Efficient Resource Management Mechanism for Network Slicing in a LTE Network

Alfoudi

Newaz

Otebolaku³

et al. 2019

IEEE Access

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The proliferation of mobile devices and user applications has continued to contribute to the humongous volume of data traffic in cellular networks. To surmount this challenge, service, and resource providers are looking for alternative mechanisms that can successfully facilitate managing network resources in a more dynamic, predictive, and distributed manner. New concepts of network architectures, such as software-defined network (SDN) and network function virtualization (NFV), have paved the way to move from static to flexible networks. They make networks more flexible (i.e., network providers capable of ondemand provisioning), easily customizable, and cost effective. In this regard, network slicing is emerging as a new technology built on the concepts of the SDN and NFV. It splits a network infrastructure into isolated virtual networks and allows them to manage resources allocation individually based on their requirements and characteristics. Most of the existing solutions for network slicing are computationally expensive because of the length of time they require to estimate the resources required for each isolated slice. In addition, there is no guarantee that the resource allocation is fairly shared among users in a slice. In this paper, we propose a network slicing resource management (NSRM) mechanism to assign the required resources for each slice in a LTE network, taking into consideration the isolation of resources among different slices. In addition, NSRM aims to ensure isolation and fair sharing of distributed bandwidths between users belonging to the same slice. In NSRM, depending on requirements, each slice can be customized (e.g., each can have a different scheduling policy).

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SDN-based service function chaining mechanism and service prototype implementation in NFV scenario

Cited by 30 publications

References 15 publications

5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

5G-Enabled UAVs with Command and Control Software Component at the Edge for Supporting Energy Efficient Opportunistic Networks

Towards Low-Latency Service Delivery in a Continuum of Virtual Resources: State-of-the-Art and Research Directions

An Efficient Resource Management Mechanism for Network Slicing in a LTE Network

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