End-to-End Network Slicing in Support of Latency-Sensitive 5G Services

Montero, Rafael Villar; Agraz, Fernando; Pages, Albert; Spadaro, Salvatore

doi:10.1007/978-3-030-38085-4_5

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…In this regard, the authors in [ 36 ] rely on analytical performance models to develop a solution that guarantees smooth communications for E2E service delivery when there is a wide variety of Quality of Service (QoS) classes in each network domain. It shall be noted that alternative approaches such as real-time delay sensing [ 37 ] can complement analytical models in many use cases through reactive solutions, i.e., real-time performance monitoring and actuation in case of any performance requirement violation. On the other hand, analytical models serve to fast and effectively verify, for example, whether a network architecture and built-in features meet the target performance requirements.…”

Section: Background and Related Workmentioning

confidence: 99%

5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0

Chinchilla-Romero

Prados-Garzon

Ameigeiras

et al. 2021

Sensors

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Fifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among PLs in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the E2E mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of TSN against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.

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Section: Background and Related Workmentioning

confidence: 99%

5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0

Chinchilla-Romero

Prados-Garzon

Ameigeiras

et al. 2021

Sensors

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“…Latency is identified in 5G as one of the most crucial requirements, considering service demands with times below 1 millisecond. In this regard, we have presented in [22] a mechanism based on the use of a latency sensor, to test and gather the end-to-end latency between two VNFs with working traffic between them. The sensor is deployed in the form of a VNF and its strategically placed between the service VNFs to be measured.…”

Section: A Latency Sensormentioning

confidence: 99%

“…The work presented in [22], follows this same model criterion to test the datapath switching based on the collection of up-to-date latency information. In this case, VM1-Sensor-VM2 are connected via internal data networks, so the sensor can measure work traffic latency.…”

Section: Path Reconfigurationmentioning

confidence: 99%

Enabling Multi-segment 5G Service Provisioning and Maintenance through Network Slicing

et al. 2020

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The current deployment of 5G networks in a way to support the highly demanding service types defined for 5G, has brought the need for using new techniques to accommodate legacy networks to such requirements. Network Slicing in turn, enables sharing the same underlying physical infrastructure among services with different requirements, thus providing a level of isolation between them to guarantee their proper functionality. In this work, we analyse from an architectural point of view, the required coordination for the provisioning of 5G services over multiple network segments/domains by means of network slicing, considering as well the use of sensors and actuators to maintain slices performance during its lifetime. We set up an experimental multisegment testbed to demonstrate end-to-end service provisioning and its guarantee in terms of specific QoS parameters, such as latency, throughput and Virtual Network Function (VNF) CPU/RAM consumption. The results provided, demonstrate the workflow between different network components to coordinate the deployment of slices, besides providing a set of examples for slice maintenance through service monitoring and the use of policy-based actuations.

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“…NFVO has a critical role in the ETSI NFV architecture, observing the implementation of end-to-end services, analyzing the general panorama and communicating the information necessary for the functioning of VIM and VNFM. NFVO also works with VIM(s) and has a complete view of the resources they are under their control (MONTERO et al, 2020). As previously indicated, there may be several NFVIs and their respective VIMs, each of which has a view of the resources under its supervision.…”

Section: Nfv Architecturementioning

confidence: 99%

GARNET: An Edge Virtualized Everything Function Management Architecture

Cunha¹

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Agradeço primeiramente a Jeová Deus, por estar ao meu lado, ter me apoiado e consolado, e em especial, nos momentos mais difíceis da minha vida. Se consegui chegar até aqui, e ser o que sou, nunca foi por força própria, mas pela força ativa de Jeová Deus, seu espírito santo.Agradeço a minha mãe, Cleusdete Maria de Oliveira, e ao meu pai, Jair Pinto da Cunha Júnior, que sempre me amaram, me apoiaram, e se esforçaram tanto para me dar uma vida digna e a oportunidade de estudar que eles não puderam ter. Espero que possa retribuir-lhes por todo carinho e amor que eles têm por mim. Espero muito um dia, poder fazer muito mais por eles do que eles fizeram por mim. Vocês são as pessoas mais importantes da minha vida! Ao Prof. Dr. Flávio de Oliveira Silva, pela orientação na condução deste trabalho, pela confiança, pelos conselhos em momentos que me sentia perdido, pela motivação quando queria desistir, pela compreensão quando queria fazer diferente e principalmente, pela parceria em todos os momentos dessa jornada.A todos meus colegas da UFU, em especial ao Rodrigo Moreira e Diego Nunes Molinos que por entre conversas do corredor, puderam me acalmar e me ajudar a entender quem eu sou, onde me encontrava, e por onde poderia caminhar.A BRF S.A, a todos seus funcionários, direção e administração cujo propósito é o de uma vida melhor para a sociedade, baseado em segurança, excelência e integridade, qualidades estas que me motiva a olhar para o futuro e ser alguém melhor todos os dias.Aos professores do Programa de Pós-graduação em Ciência da Computação da Universidade Federal de Uberlândia (UFU) por partilharem experiências e conhecimentos.A Universidade Federal de Uberlândia, seu corpo docente, direção e administração que proporcionaram um novo caminho, baseado em confiança, mérito e ética, qualidades estas presentes na instituição.

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End-to-End Network Slicing in Support of Latency-Sensitive 5G Services

Cited by 6 publications

References 4 publications

5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0

5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0

Enabling Multi-segment 5G Service Provisioning and Maintenance through Network Slicing

GARNET: An Edge Virtualized Everything Function Management Architecture

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