Saving CAPEX by Extending Flexgrid-based Core Optical Networks Toward the Edges [Invited]

Velasco, Luis; Wright, Paul; Lord, Andrew; Junyent, G.

doi:10.1364/jocn.5.00a171

Cited by 50 publications

(45 citation statements)

References 13 publications

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“…Segments are identified by an intercept a that equals the empirical value at the starting of the segment and a slope b computed from the values at both edges and the segment length according to equation (3). Finally, the model consisting in the obtained period, the number of segments, and the piecewise linear functions μ and σ 2 , is returned (line 18).…”

Section: A Traffic Modelingmentioning

confidence: 99%

“…any connectivity services require considerably less capacity than the one that optical connections offer; this forces operators to keep differentiated metro and core network segments and to deploy multilayer networks in the core to perform the required grooming/aggregation functionality [3]; metro areas are usually connected to the core through two or more nodes for redundancy and load balancing purposes.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Core VNT Adaptability Based on Predictive Metro-Flow Traffic Models

Morales

Gifre

Paolucci

et al. 2017

J. Opt. Commun. Netw.

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Abstract-MPLS-over-optical virtual network topologies (VNT) can be adapted to near future traffic matrices based on predictive models that are estimated by applying data analytics on monitored origin-destination (OD) traffic. However, the deployment of independent SDN controllers for core and metro segments can bring large inefficiencies to this core network reconfiguration based on traffic prediction when traffic flows from metro areas are rerouted to different ingress nodes in the core. In such case, OD traffic patterns in the core might severely change thus affecting the quality of the predictive OD models. New traffic models' re-estimation usually entails long time during which no predictive capabilities are available for the network operator. To alleviate this problem, we propose to extend data analytics to metro networks to obtain predictive models for the metro-flows; by knowing how these flows are aggregated into OD pairs in the core, we can also aggregate their predictive models thus accurately predicting OD traffic and therefore, enabling core VNT reconfiguration. To obtain quality metro-flow models, we propose an estimation algorithm that processes monitored data and returns a predictive model. In addition, a Flow Controller is proposed for the control architecture to allow metro and core controllers to exchange metro-flow model information. The proposed model aggregation is evaluated through exhaustive simulation, and eventually experimentally assessed together with the Flow Controller in a testbed connecting premises in CNIT (Pisa, Italy) and UPC (Barcelona, Spain).

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Section: A Traffic Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic Core VNT Adaptability Based on Predictive Metro-Flow Traffic Models

Morales

Gifre

Paolucci

et al. 2017

J. Opt. Commun. Netw.

Self Cite

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show abstract

“…The control plane contribution to the CP-VNT_CREATE workflow processing time was less than 9 ms., including messages exchange and CP-VNT_CREATE algorithm in the bPCE. 3 4 Fig. 13.…”

Section: Experimental Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…They conclude that placing contents in DCs closer to users can result in a 41% bandwidth reduction in the metro networks. The resulting distributed DC architecture should come together with the extension of the core network functionalities towards the metro, as proposed in [3].Robust telecom infrastructures are needed to minimize the impact of failures on the services [4]; this is especially relevant in the case of video distribution. In fact, prolonged service outages and disruptions have negatively impacted the confidence of important companies toward cloud environments.…”

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confidence: 99%

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ABNO-driven content distribution in the telecom cloud

Gifre

Tornatore

Contreras

et al. 2017

Optical Switching and Networking

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Abstract-As current sustained traffic growth is expected to strain capacity of today's metro network, novel content distribution architectures where contents are placed closer to the users are being investigated. In that regard, telecom operators can deploy datacenters (DCs) in metro areas, thus reducing the impact of the traffic going from users to DCs. However, effective solutions to distribute contents to those metro DCs and to synchronize contents among them need to be investigated. In this paper, a hierarchical content distribution architecture for the telecom cloud is investigated: core DCs placed in geographically distributed locations, are interconnected through permanent "per content provider" (CP) virtual network topology (CP-VNT); additionally, metro DCs are placed close to users, and need also to be interconnected with the core DCs. CP's data is replicated in the core DCs through the CP-VNT, while metro-to-core (M2C) anycast connections are established periodically for metro DCs to synchronize contents. Since failures in the interconnection network might disconnect the CP-VNTs, in this paper recovery mechanisms are proposed to reconnect topologies and anycast connections. Topology creation, anycast provisioning and recovery problems are first formally stated and modelled as Integer Linear Programs (ILP). Solving these models, however, becomes impractical for realsized scenarios, so heuristic algorithms are also proposed. Exhaustive simulation results show that the investigated architecture provides significant improvements in both supported traffic and restorability compared to the case of a single core DC. Workflows to implement the algorithms within the Applications-based Network Operations (ABNO) architecture and extensions for PCEP are proposed. Finally, the architecture is experimentally validated in our ABNObased iONE test-bed.Keywords: Datacenter interconnection, Optical networks, Content distribution. INTRODUCTIONCloud-based contents are experiencing an exponential growth in users and data volume. In [1], Cisco forecast a yearly global growth of 23% in datacenter (DC)-to-user traffic, 29% in DC-to-DC traffic, and 22% in the intra-DC traffic. Likewise, Alcatel-Lucent highlights that metro traffic will increase 560% by 2017 mainly driven by IP video and cloud traffic [2], growing two times faster than core network traffic. They conclude that placing contents in DCs closer to users can result in a 41% bandwidth reduction in the metro networks. The resulting distributed DC architecture should come together with the extension of the core network functionalities towards the metro, as proposed in [3].Robust telecom infrastructures are needed to minimize the impact of failures on the services [4]; this is especially relevant in the case of video distribution. In fact, prolonged service outages and disruptions have negatively impacted the confidence of important companies toward cloud environments. Telecom operators are in a vantage position to capitalize on highly-reliable cloud services since they o...

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References

2017

Provisioning, Recovery, and In‐operation Planning in Elastic Optical Networks

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Saving CAPEX by Extending Flexgrid-based Core Optical Networks Toward the Edges [Invited]

Cited by 50 publications

References 13 publications

Dynamic Core VNT Adaptability Based on Predictive Metro-Flow Traffic Models

Dynamic Core VNT Adaptability Based on Predictive Metro-Flow Traffic Models

ABNO-driven content distribution in the telecom cloud

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