Phased-vCDN Orchestration for flexible and efficient usage of 5G edge infrastructures

Aires, João; Duarte, Paulo; Parreira, Bruno; Figueiredo, Sergio

doi:10.1109/nfv-sdn47374.2019.9040097

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…The behavior was verified by monitoring the user's serving MECs in transition situationsand the network's DC topology. Besides the components validated in previous works, 1,14 the experiment allowed the successful verification of the implemented functionality in the MM, ULP, CPP and vCDN Engine components, along with OF—NR interface towards ONAP.…”

Section: Solution Implementation and Validationmentioning

confidence: 94%

“…Orchestration in model‐ and catalogue‐driven environments 4,5 ) is typically comprised of three components: The Orchestrator, responsible for executing the orchestration logic on the services and resources of a network; an Inventory, a repository of all the instantiation information pertaining to the services and their resources; and a Catalogue, holding all the information required by all architecture's components. A list of relevant Orchestration platforms, such as ONAP or OSM was discussed in Reference 1 Both ONAP and OSM are open‐source frameworks, with OSM focusing ETSI NFV MANO scope. Althought, ONAP embeds E2E management and orchestration functionalities since its initial version, making it an attractive option for the target of our work.…”

Section: Background and Related Workmentioning

confidence: 99%

“…The work 14 presents a framework for mobile video delivery for dynamic instantiation of video services in edge vCDN nodes, determining where, when and which video chunks should be cached. Finally, in Reference 1 the integration of vCDN services with 5G‐compliant OSS systems is addressed, and a phased vCDN orchestration approach enabling the split deployment of caching and streaming components is proposed. This article derives from the two latter works by reformulating the vCDN architecture for fully leveraging from End‐to‐End management and orchestration, and by providing a detailed analysis about the solution's integration with a policy system for benefiting from automated operation within a cloud‐native Telecom network.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Within 5Go project 2 , this work presents a fully‐fledged Orchestrated and 5G‐enabled deep vCDN architecture, enabling both the dynamic orchestration of Edge vCDN nodes and the preemptive placement of video in highly distributed infrastructure leveraging user location information subscribed through 5G Core. It goes beyond our previous work 1 by restructuring the vCDN Engine for enhanced integration with ONAP, implementing control plane's components and providing detailed analysis about its potential integration with a policy system, towards enabling automated operation. Finally, the functional validation of the updated system was performed.…”

Section: Introductionmentioning

confidence: 99%

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An orchestrated 5G‐enabled deep vCDN system

Aires¹,

Duarte²,

Parreira³

et al. 2020

Internet Technology Letters

Self Cite

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Future 5G services rely on effective end‐to‐end management and orchestration for consistently obtaining 5G network's performance benefits. vCDN systems, which are core to the efficient delivery of multimedia contents, must thus be redesigned accounting for NFV and Service‐based 5G Core for fully enabling optimal infrastructure resource optimization and the Quality of Service for increasingly demanding immersive services. This article proposes a novel orchestration framework for deep and 5G‐enabled vCDN services, and builds on two main capabilities: a) the dynamic provisioning of vCDN Edge nodes, enabling content placement at the network Edge based on nearby user's presence, and b) Preemptive video content placement, for users rapidly moving between different edge regions. The solution was modeled and validated using ONAP.

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Section: Solution Implementation and Validationmentioning

confidence: 94%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An orchestrated 5G‐enabled deep vCDN system

Aires¹,

Duarte²,

Parreira³

et al. 2020

Internet Technology Letters

Self Cite

View full text Add to dashboard Cite

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“…5G networks are deployed to satisfy the need of multiple vertical industries over a shared infrastructure with the use of concepts inclusive of community slicing [1]. Regarding the transport stream held by 5G, video-primarily based totally clients represent a big portion of the data stream carried, with approximately 79% of cell information [2]. The significant increase of the connected smart devices with greedy smart applications like video streaming, requires a higher spectral efficiency and represents a big challenge of 5G [3].…”

Section: Introductionmentioning

confidence: 99%

CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS

Djeldjeli¹,

Zoubir

2021

Eng. Technol. Appl. Sci. Res.

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Today, the Software Defined Network (SDN) technology gives more efficiency and flexibility to the 5G mobile networks that are expected to support an enormous amount of data relating to various constrained services. The 5G network should implement newer approaches and technologies that allow supporting the scalability and mobility of the network. The SDN approach consists of decoupling between the control operation and the networking operation, where the control operation is held by the SDN controller that is responsible for defining the management and the control rules. Data forwarding is performed by switches that apply rules defined by their controllers. In the current study, we have proposed and defined a new approach named CP-SDN: Cooperative Protocol-SDN, as an extension to the existing Software Defined Networks, especially when the network experiences saturation due to the huge amount of exchanged data. This congestion may affect the constrained flow and leads to an undesired delay that affects the network Quality of Service (QoS). CP-SDN consists of a cooperation technique between neighboring controllers that aims to relieve the congested centers and redirect the extra flow through neighbors. CP-SDN processing keeps controller databases updated and assures the optimized path for the extra flow when network congestion occurs. The performed simulations on calculating the e-Mbb and M-iOT delay performances for various probability densities show that CP-SDN brings more reliability and efficiency in reducing the transmission delay and overcome the existing SDN scheme. This makes it a prime candidate for the evolved high scalable 5G networks.

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