SDN Enhanced Multi-Access Edge Computing (MEC) for E2E Mobility and QoS Management

Shah, Syed Danial Ali; Gregory, Mark A; Li, Shuo; Fontes, Ramon dos Reis

doi:10.1109/access.2020.2990292

Cited by 69 publications

(39 citation statements)

References 26 publications

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“…Content may change prior to final publication. [32] and in another work [33]. The authors proposed to host the SDN mobility management application in the MEH, to provide up-to-date topology information, the position and trajectory of each vehicle, thus ensuring low-latency operation and triggering seamless UP/CP functions migration, handovers, and reconfiguration of network resources in active slices.…”

Section: A E2e Network Slicing In a Single Administrative Domainmentioning

confidence: 99%

“…The authors also introduced the concept of slice breathing and scaling to dynamically adapt to the varying slice resources demand, i.e., sudden increase or decrease in the service demands causing over-consumed or under-consumed slice resources, respectively. Shah et al in [32] leveraged SDN to track the user mobility patterns across different mobile networks and trigger network slice mobility action towards the most optimal destination network. In addition the SDN contoller, dynamically allocates the required resources to the relocated network slice.…”

Section: Mobility Management For Network Slicingmentioning

confidence: 99%

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Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey

Shah

Gregory

2021

IEEE Access

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Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable and low latency communication, real-time and dynamic data processing, intensive computation, and massive device connectivity. End-to-End (E2E) network slicing candidates present a promising approach to resource allocation and distribution that permit operators to flexibly provide scalable virtualized and dedicated logical networks over common physical infrastructure. Though network slicing promises the provision of services on demand, many of its use cases, such as self-driving cars and Google's Stadia, would require the integration of a Multi-Access Edge Computing (MEC) platform in 5G networks. Edge Computing is envisioned as one of the key drivers for 5G and Sixth-Generation (6G) mobile cellular networks, but its role in network slicing remains to be fully explored. We investigate MEC and network slicing for the provision of 5G service focused use cases. Recently, changes to the cloud-native 5G core are a focus with MEC use cases providing network scalability, elasticity, flexibility, and automation. A cloud-native microservices architecture, along with its potential use cases for 5G network slicing, is envisioned. This paper also elaborates on the recent advances made in enabling E2E network slicing, its enabling technologies, solutions, and current standardization efforts. Finally, this paper identifies open research issues and challenges and provides possible solutions and recommendations.

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Section: A E2e Network Slicing In a Single Administrative Domainmentioning

confidence: 99%

Section: Mobility Management For Network Slicingmentioning

confidence: 99%

Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey

Shah

Gregory

2021

IEEE Access

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“…As mentioned in section 4 that the base stations are connected with OpenFlow enabled switches that are termed as gNB-switch and they enable the base stations to communicate with the SDN controller using OpenFlow protocol. These gNB-switches are deployed in the edge network to benefit from traffic offloading and enforce QoS [33,34]. The core network consists of the SDN controller and several UPFs which facilitate UE traffic routing between the radio access network and data network.…”

Section: Modeling and Implementation Of The Proposed Architecturementioning

confidence: 99%

Modeling and Evaluation of Software Defined Networking Based 5G Core Network Architecture

et al. 2021

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Nowadays, the increase in the number of mobile users and cellular traffic leads to new challenges in the fifth-generation (5G) of cellular networks. The increase in the demand for high data rates brings challenges like scalability and flexibility in the 5G network. Software-defined networking (SDN) is a network paradigm that separates the control plane and data plane in the network and ease the management of the network. In this work, an SDN based 5G core architecture is proposed, in order to introduce flexibility and ease of management in the network. Another benefit of using SDN is to make the network vendorindependent. Furthermore, the explanation of initial attachment and handover procedures in the proposed architecture is provided. A network simulator is built to evaluate the performance of proposed architecture, in terms of end-to-end delay, throughput and resource utilization of controller, under different network factors. A performance comparison, in terms of end-to-end delay, between proposed SDN based 5G architecture and traditional 5G architecture is provided. Results show that the proposed architecture provides 18% to 62% less end-to-end delay, under different factors for different procedures, compared to the traditional 5G architecture. A comparison with previous works is also provided, which indicates similar trends in delay between our work and previous studies.

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“…The cloud-native approach [12] is the most common method of managing the platform installations for the deployment of NFs that are centrally managed with SDN principles. While the cloud-native approach has proven to be efficient for resource management in cloud and data center deployments of NFs, the applicability of the cloud-native approach to remote-gateways, clients, and mobile nodes is yet to be investigated [13].…”

Section: ) Compute Nodes For Running Nfsmentioning

confidence: 99%

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

2020

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In order to facilitate flexible network service virtualization and migration, network functions (NFs) are increasingly executed by software modules as so-called "softwarized NFs" on General-Purpose Computing (GPC) platforms and infrastructures. GPC platforms are not specifically designed to efficiently execute NFs with their typically intense Input/Output (I/O) demands. Recently, numerous hardwarebased accelerations have been developed to augment GPC platforms and infrastructures, e.g., the central processing unit (CPU) and memory, to efficiently execute NFs. This article comprehensively surveys hardware-accelerated platforms and infrastructures for executing softwarized NFs. This survey covers both commercial products, which we consider to be enabling technologies, as well as relevant research studies. We have organized the survey into the main categories of enabling technologies and research studies on hardware accelerations for the CPU, the memory, and the interconnects (e.g., between CPU and memory), as well as custom and dedicated hardware accelerators (that are embedded on the platforms); furthermore, we survey hardware-accelerated infrastructures that connect GPC platforms to networks (e.g., smart network interface cards). We find that the CPU hardware accelerations have mainly focused on extended instruction sets and CPU clock adjustments, as well as cache coherency. Hardware accelerated interconnects have been developed for on-chip and chip-to-chip connections. Our comprehensive up-to-date survey identifies the main trade-offs and limitations of the existing hardware-accelerated platforms and infrastructures for NFs and outlines directions for future research.

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SDN Enhanced Multi-Access Edge Computing (MEC) for E2E Mobility and QoS Management

Cited by 69 publications

References 26 publications

Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey

Cloud-Native Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing: A Survey

Modeling and Evaluation of Software Defined Networking Based 5G Core Network Architecture

Hardware-Accelerated Platforms and Infrastructures for Network Functions: A Survey of Enabling Technologies and Research Studies

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