Metro Transport, from Mesh to Hub

She, Qingya; Hashiguchi, Tomohiro; Rundberget, Kirsten; Xie, Weisheng

doi:10.1364/ofc.2017.m2g.6

Cited by 3 publications

(5 citation statements)

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“…The classification of multi-layer architecture fits the presented network architectures whose transport layer is multilayered, composed of electronic layer over optical layer. Architectures in this class are Pure OTN [42] presented on the Subsection III-A1, OTN over DWDM (OTN/DWDM) [72] cited in Subsection III-A2, UDWSN [52] in Subsection III-A3, in order of appearance in the literature, in addition to the HnS/WDM [90] in Subsection III-A4, ARMONIA [87] in Subsection III-A5, DISCUS [79] in Subsection III-A6 and MOMC [91] in Subsection III-A7, that are not OTN based.…”

Section: A Multi-layer Architecturesmentioning

confidence: 99%

“…Applications: The authors point out that this architecture is especially interesting for 4K/VR and cloud video services, both because it is capable of providing bandwidth on demand, and because of the shortening of response times due to traffic paths with fewer hops [90]. Some characteristics of HnS/WDM are highlighted in Table IV.…”

Section: ) Hns / Wdmmentioning

confidence: 99%

“…In the eletronic layer, if the node plays the role of metro-core, an Ethernet Core Switch is implemented. A Ethernet Edge Switch is implemented on nodes that are metro-access [90]. While DWDM offers protocol independence, so operators can carry any data traffic, provide storage and TDM services, Ethernet guarantees low transfer rates that match many of the services that are offered.…”

Section: ) Hns / Wdmmentioning

confidence: 99%

“…This work focuses on bringing together these architectural proposals to discuss its main characteristics, advantages and disadvantages. Architectures like UDWSN [54], HnS/WDM [90], ARMONIA [87], DISCUS [79], MOMC [91], MEON [11], SIMON [3], TDGMON [45], FMN [1], DuFiNet [8] and DnW [100], for example, were designed with different objectives and concepts, and because they are very recent, they are not yet consolidated.…”

Section: Final Considerationsmentioning

confidence: 99%

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Metropolitan Optical Networks: A Survey on New Architectures and Future Trends

Sousa¹,

Drummond²

2022

Preprint

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Metropolitan optical networks are undergoing major transformations to continue being able to provide services that meet the requirements of the applications of the future. The arrival of the 5G will expand the possibilities for offering IoT applications, autonomous vehicles, and smart cities services while imposing strong pressure on the physical infrastructure currently implemented, as well as on static traffic engineering techniques that do not respond in an agile way to the dynamic and heterogeneous nature of the upcoming traffic patterns. In order to guarantee the strictest quality of service and quality of experience requirements for users, as well as meeting the providers' objectives of maintaining an acceptable trade-off between cost and performance, new architectures for metropolitan optical networks have been proposed in the literature, with a growing interest starting from 2017. However, due to the proliferation of a dozen of new architectures in recent years, many questions need to be investigated regarding the planning, implementation, and management of these architectures, before they could be considered for practical application. This work presents a comprehensive survey of the new proposed architectures for metropolitan optical networks. Firstly, the main data transmission systems, equipment involved, and the structural organization of the new metro ecosystems are discussed. The already established and the novel architectures are presented, highlighting its characteristics and application, and comparative analysis among these architectures is carried out identifying the future technological trends. Finally, outstanding research questions are drawn to help direct future research on the field. Among the conclusions of this survey, the application of flexible spectrum allocation technologies seems to be the right, and necessary, evolution path for metropolitan optical network architectures.

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Section: A Multi-layer Architecturesmentioning

confidence: 99%

Section: ) Hns / Wdmmentioning

confidence: 99%

Section: ) Hns / Wdmmentioning

confidence: 99%

Section: Final Considerationsmentioning

confidence: 99%

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Metropolitan Optical Networks: A Survey on New Architectures and Future Trends

Sousa¹,

Drummond²

2022

Preprint

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“…Although resource allocation in core EONs has been extensively studied [14]- [16], dynamic resource allocation in MEONs needs more research [17]. The key point is that the proposed algorithms for core EONs cannot be readily applied to MEONs since they do not consider the requirements of metro networks such as dynamic traffic fluctuation, short reallocation period, and service differentiation [1], [18], [19]. The quality of service (QoS) is a necessary parameter for practical management of MEONs; however, there is no comprehensive research work on QoS-aware resource allocation for MEONs.…”

mentioning

confidence: 99%

Dynamic Resource Allocation in Metro Elastic Optical Networks Using Lyapunov Drift Optimization

Hadi¹,

Pakravan

Agrell³

2019

J. Opt. Commun. Netw.

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Consistent growth in the volume and dynamic behavior of traffic mandates new requirements for fast and adaptive resource allocation in metro networks. We propose a dynamic resource allocation technique for adaptive minimization of spectrum usage in metro elastic optical networks. We consider optical transmission as a service specified by its bandwidth profile parameters, which are minimum, average, and maximum required transmission rates. To consider random traffic events, we use a stochastic optimization technique to develop a novel formulation for dynamic resource allocation in which service level specifications and network stability constraints are addressed. Next, we employ the elegant theory of Lyapunov optimization to solve the stochastic optimization problem and derive a fast integer linear program, which is periodically solved to create an adaptation between available resources and dynamic network state. To quantize the performance of the proposed technique, we report its spectral efficiency as a function of peak to average traffic ratio and Lyapunov penalty coefficient. Simulation results show that the dynamic resource allocation procedure can improve spectral efficiency by a factor of 3.3 for a peak to average traffic ratio of 1.37 and a Lyapunov penalty coefficient of 10 3 in comparison with fixed network planning. There is also a trade-off between transmission delay and spectrum utilization in the proposed technique, which can be adjusted by a Lyapunov penalty coefficient.

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