A simulative model of a 5G Telco Operator Network

Faraci, G.; Lombardo, Alfio

doi:10.1016/j.procs.2017.06.104

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…The work in [18] is based on a G/G/m queue model for intra-DC service chains. In this context, [19] considers a latency model at the datacenters (DCs) that accounts on an intra-datacenter CPU resource sharing model among the instantiated VNFs in the DC and NIC queues. Besides, authors in [19] disseminate radio, fixed and aggregationcore network link congestion in end-to-end latency calculations.…”

Section: B Offline Sdn/nfv Network Planning 1) Latency Modelling Andmentioning

confidence: 99%

“…In this context, [19] considers a latency model at the datacenters (DCs) that accounts on an intra-datacenter CPU resource sharing model among the instantiated VNFs in the DC and NIC queues. Besides, authors in [19] disseminate radio, fixed and aggregationcore network link congestion in end-to-end latency calculations. Few papers consider the impact of the processing overhead as the load increases in each VNF.…”

Section: B Offline Sdn/nfv Network Planning 1) Latency Modelling Andmentioning

confidence: 99%

See 1 more Smart Citation

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

Garrich

Romero-Gázquez

Moreno-Muro

et al. 2020

J. Lightwave Technol.

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Metropolitan networks are undergoing a major technological breakthrough leveraging the capabilities of softwaredefined networking (SDN) and network function virtualization (NFV). NFV permits the deployment of virtualized network functions (VNFs) on commodity hardware appliances which can be combined with SDN flexibility and programmability of the network infrastructure. SDN/NFV-enabled networks require decision-making in two time scales: short-term online resource allocation and mid-to-long term offline planning. In this paper, we first tackle the dimensioning of SDN/NFV-enabled metropolitan networks paying special attention to the role that latency plays in the capacity planning. We focus on a specific use-case: the metropolitan network that covers the Murcia-Alicante Spanish regions. Then, we propose a latency-aware multilayer service-chain allocation (LA-ML-SCA) algorithm to explore a range of maximum latency requirements and their impact on the resources for dimensioning the metropolitan network. We observe that design costs increase for low latency requirements as more data center facilities need to be spread to get closer to the network edge, reducing the economies of scale on the IT infrastructure. Subsequently, we review our recent joint computation of multi-site VNF placement and multilayer resource allocation in the

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Section: B Offline Sdn/nfv Network Planning 1) Latency Modelling Andmentioning

confidence: 99%

Section: B Offline Sdn/nfv Network Planning 1) Latency Modelling Andmentioning

confidence: 99%

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

Garrich

Romero-Gázquez

Moreno-Muro

et al. 2020

J. Lightwave Technol.

View full text Add to dashboard Cite

show abstract

“…Although these works [2,21,22] provide a good understanding on orchestration for QoE management frameworks, they still lack the impact of cloud CDN cost analysis which is one of the distinctive reasons of choosing a particular CDN supplier. G. Faraci et al has provided a system model for 5G Operator Network Telco [23] which provides the interactions between core & edge cloud and NFVs running on physical nodes. The work proposes a simulative tool for 5G systems, which is able to detect delay events resulting from NFV load on physical device CPUs or transmission loads between nodes.…”

Section: Related Work On Qoe For Online Videomentioning

confidence: 99%

On the modelling of CDNaaS deployment

Bulkan

Dagiuklas

Iqbal

2018

Multimed Tools Appl

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With the increasing demand for over the top media content, understanding user perception and Quality of Experience (QoE) estimation have become a major business necessity for service providers. Online video broadcasting is a multifaceted procedure and calculation of performance for the components that build up a streaming platform requires an overall understanding of the Content Delivery Network as a service (CDNaaS) concept. Therefore, to evaluate delivery quality and predicting user perception while considering NFV (Network Function Virtualization) and limited cloud resources, a relationship between these concepts is required. In this paper, a generalized mathematical model to calculate the success rate of different tiers of online video delivery system is presented. Furthermore, an algorithm that indicates the correct moment to switch between CDNs is provided to improve throughput efficiency while maintaining QoE and keeping the cloud hosting costs as lowest possible.

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“…Ainda sobre a capacidade das células, [19] e [20] propõem modelos distintos de simulação, de onde diversos parâmetros podem ser derivados. Bakowski et al em [19] mostram que avaliações de parâmetros específicos, como a eficiência espectral, podem ser feitas por meio de uma abordagem por simulação em nível de sistema para a avaliação de aspectos selecionados do desempenho de redes.…”

Section: Introductionunclassified

“…Faraci e Lombardo em [20] propõem uma ferramenta de simulação para redes 5G, que é capaz de capturar estatísticas de atraso devido à carga das CPU e congestionamentos do link de transmissão nos pontos de presença virtuais de uma operadora, aplicando-a um estudo de caso.…”

Section: Introductionunclassified

Avaliação de desempenho e dimensionamento de tráfego em redes sem fio multisserviços

Menezes da Silveira

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A simulative model of a 5G Telco Operator Network

Cited by 4 publications

References 20 publications

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

IT and Multi-layer Online Resource Allocation and Offline Planning in Metropolitan Networks

On the modelling of CDNaaS deployment

Avaliação de desempenho e dimensionamento de tráfego em redes sem fio multisserviços

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