9 research outputs found
Monitoring and data analytics-triggered reconfiguration in partially disaggregated optical networks
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.We present ADONIS, which stands for Aggregator/Disaggregator for Optical Network equIpmentS, a novel open device agent able to construct logical network devices from (dis)aggregation of physical components in order to expose meaningful network devices to the SDN controller. We experimentally assess it by means of a control closed-loop involving ADONIS, a Software Defined Network controller, a Monitoring and Data Analytics system, and a novel reconfiguration tool, SMART-A.The research leading to these results has received funding from the EC through the METRO-HAUL (G.A. nº 761727).Peer ReviewedPostprint (author's final draft
Demonstration of monitoring and data analytics-triggered reconfiguration in partially disaggregated optical networks
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.We demonstrate a novel agent for optical disaggregated optical networks. When the Monitoring and Data Analytics detects a degradation, it recommends the SDN controller to trigger a network reconfiguration computed by a novel planning tool.The research leading to these results has received funding from the EC through the METRO-HAUL (G.A. nº 761727).Peer ReviewedPostprint (author's final draft
Demonstration of latency-aware 5G network slicing on optical metro networks
The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semi-disaggregated metro nodes with compute and storage capabilities, which interface effectively with both 5G access and multi-Tbit/s elastic optical networks in the core. In this paper, we report the automated deployment of 5G services, in particular, a public safety video surveillance use case employing low-latency object detection and tracking using on-camera and on-the-edge analytics. The demonstration features flexible deployment of network slice instances, implemented in terms of ETSI NFV Network Services. We summarize the key findings in a detailed analysis of end-to-end quality of service, service setup time, and soft-failure detection time. The results show that the round-trip-time over an 80 km link is under 800 µs and the service deployment time under 180 seconds.Horizon 2020 Framework Programme (761727); Bundesministerium für Bildung und Forschung (16KIS0979K).Peer ReviewedArticle signat per 25 autors/es:
B. Shariati, Fraunhofer HHI, Berlin, Germany / L. Velasco, Universitat Politècnica de Catalunya, Barcelona, Spain / J.-J. Pedreno-Manresa, ADVA, Munich, Germany / A. Dochhan, ADVA, Munich, Germany / R. Casellas, Centre Tecnològic Telecomunicacions Catalunya, Castelldefels, Spain / A. Muqaddas, University of Bristol, Bristol, UK / O. Gonzalez de Dios, Telefónica, Madrid, Spain / L. Luque Canto, Telefónica, Madrid, Spain / B. Lent, Qognify GmbH, Bruchsal, Germany / J. E. Lopez de Vergara, Naudit HPCN, Madrid, Spain / S. Lopez-Buedo, Naudit HPCN, Madrid, Spain / F. Moreno, Universidad Politécnica de Cartagena, Cartagena, Spain / P. Pavon, Universidad Politécnica de Cartagena, Cartagena, Spain / M. Ruiz, Universitat Politècnica de Catalunya, Barcelona, Spain / S. K. Patri, ADVA, Munich, Germany / A. Giorgetti, CNIT, Pisa, Italy / F. Cugini, CNIT, Pisa, Italy / A. Sgambelluri, CNIT, Pisa, Italy / R. Nejabati, University of Bristol, Bristol, UK / D. Simeonidou, University of Bristol, Bristol, UK / R.-P. Braun, Deutsche Telekom, Germany / A. Autenrieth, ADVA, Munich, Germany / J.-P. Elbers, ADVA, Munich, Germany / J. K. Fischer, Fraunhofer HHI, Berlin, Germany / R. Freund, Fraunhofer HHI, Berlin, GermanyPostprint (author's final draft
Partage de charge et ingénierie de trafic dans les réseaux MPLS
PARIS-Télécom ParisTech (751132302) / SudocSudocFranceF
Design and assessment of FM-MCFs-suited SDM-ROADMs with versatile spatial group configurations and unified QoT estimator
In this article, we focus on the design of different node architectures suitable for few-mode multi-core fibers (FMMCFs) based networks. Both dimensions, core and mode, open different possible ways to group spatial channels depending on the physical impairments of the space-division multiplexed (SDM) optical fibers. Moreover, the channel switching across a group of cores/modes at once and the end-to-end routing are not only mandatory aspects for certain spatial channels, but also recommendable in order to reduce the node complexity/cost. Thus, we propose various SDM-capable node architectures based on versatile and homogeneous spatial group configurations. Then, a unified physical-layer-aware Quality of Transmission (QoT) estimator is formulated to not only evaluate these node architectures in a simulation tool, but also validate them in a real experimental environment using a stateful path computation element (PCE) as a central controller. The obtained results disclose that the cost-efficient node design parameter, namely, the size of the spatial group G, depends on both the network and traffic profile size. Specifically, for a national optical backbone network equipped with a homogeneous and hexagonally arranged 6-weakly-coupled modes and 7-weakly-coupled cores fibers, G equals 6, while for a continental backbone network, G can raise up to 14. In any case, we demonstrate that the cost-benefit tradeoff in node design must be analyzed in detail in order to meet the huge traffic volumes of the next years.This work was supported by the Spanish Project AURORAS under Grant RTI2018-099178-B-I00.Peer ReviewedPostprint (author's final draft
The dichotomy of distributed and centralized control: METRO-HAUL, when control planes collide for 5G networks
Automating the provisioning of 5G services, deployed over a heterogeneous infrastructure (in terms of domains, technologies, and management platforms), remains a complex task, yet driven by the constant need to provide end-to-end connections at network slices at reducing costs and service deployment time. At the same time, such services are increasingly conceived around interconnected functions and require allocation of computing, storage, and networking resources.
The METRO-HAUL 5G research initiative acknowledges the need for automation and strives to develop an orchestration platform for services and resources that extends, integrates, and builds on top of existing approaches, macroscopically adopting Transport Software Defined Networking principles, and leveraging the programmability and open control of Transport SDN.Peer Reviewe
Autonomic NFV network services on top of disaggregated optical metro networks
Control and orchestration of metro network to support dynamic provisioning and reconfiguration of services based on Virtual Network Functions are demonstrated through a CDN example. Interaction among CASTOR MDA, OSM and ONOS is exhibited.Peer ReviewedPostprint (published version
Autonomic NFV network services on top of disaggregated optical metro networks
Control and orchestration of metro network to support dynamic provisioning and reconfiguration of services based on Virtual Network Functions are demonstrated through a CDN example. Interaction among CASTOR MDA, OSM and ONOS is exhibited.Peer Reviewe
A latency-aware real-time video surveillance demo: network slicing for improving public safety
We report the automated deployment of 5G services across a latency-aware, semi- disaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, service setup time, and soft-failure detection time.The research leading to these results has received funding from the EC and BMBF through the METRO-HAUL project (G.A. No. 761727) and OTB-5G+ project (reference No. 16KIS0979K).Peer ReviewedArticle signat per 24 autors/es:
B. Shariati, Fraunhofer HHI, Germany / J. J. Pedreno-Manresa, ADVA, Germany / A. Dochhan, ADVA, Germany / A. S. Muqaddas, UOB, UK / R. Casellas, CTTC/CERCA, Spain / O. González de Dios, Telefónica, Spain / L. L. Canto, Telefónica, Spain / B. Lent, Qognify GmbH, Germany / J. E. López de Vergara, Naudit HPCN, Spain / S. López-Buedo, Naudit HPCN, Spain / F. J. Moreno, UPCT, Spain / P. Pavón, UPCT, Spain / L. Velasco, UPC, Spain / S. Patri, ADVA, Germany / A. Giorgetti, CNIT, Italy / IEIIT-CNR, F. Cugini
CNIT, Italy / A. Sgambelluri, CNIT, Italy / R. Nejabati, UOB, UK / D. Simeonidou, UOB, UK / R.-P. Braun, Deutsche Telekom, Germany / A. Autenrieth, ADVA, Germany / J.-P. Elbers, ADVA, Germany / J. K. Fischer, Fraunhofer HHI, Germany / R. Freund, Fraunhofer HHI, GermanyPostprint (author's final draft