International Conference on Transparent Optical Networks (ICTON) 2018
1 July - 5 July
Metro-Haul have the following INVITED TALKs;
By R. Casellas, R. Martínez, L. Velasco, R. Vilalta, P. Pavón, D. King, and R. Muñoz, from Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), versitat Politècnica de Catalunya (UPC), Universidad Politécnica de Cartagena (UPCT), Old Dog Consulting (ODC) [BigNeO II (Tu.A3.2), Tuesday, July 3, 8:30-10:10];
- Title: Enabling Data Analytics and Machine Learning for 5G Services within Disaggregated Multi-Layer Transport Networks
- Abstract: Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) and with applications across multiple technology domains, have gathered significant attention due, in particular, to the overall performance improvement of such automated systems when compared to methods relying on human operation. Consequently, using AI/ML for managing, operating and optimizing transport networks is increasingly seen as a potential opportunity targeting, notably, large and complex environments.Such AI-assisted automated network operation is expected to facilitate innovation in multiple aspects related to the control and management of future optical networks and is a promising milestone in the evolution towards autonomous networks, where networks self-adjust parameters such as transceiver configuration.To accomplish this goal, current network control, management and orchestration systems need to enable the application of AI/ML techniques. It is arguable that Software-Defined Networking (SDN) principles, favouring centralized control deployments, featured application programming interfaces and the development of a related application ecosystem are well positioned to facilitate the progressive introduction of such techniques, starting, notably, in allowing efficient and massive monitoring and data collection.In this paper, we present the control, orchestration and management architecture designed to allow the automatic deployment of 5G services (such as ETSI NFV network services) across metropolitan networks, conceived to interface 5G access networks with elastic core optical networks at multi Tb/s. This network segment, referred to as Metro-haul, is composed of infrastructure nodes that encompass networking, storage and processing resources, which are in turn interconnected by open and disaggregated optical networks. In particular, we detail subsystems like the Monitoring and Data Analytics or the in-operation planning backend that extend current SDN based network control to account for new use cases.
By Adrian Farrel, from Old Dog Consulting (ODC) [5GT I (We.A2.3), Wednesday, July 4, 8:30-10:10];
- Title: Recent Developments in Service Function Chaining (SFC) and Network Slicing in Backhaul and Metro Networks in Support of 5G
- Abstract: In this invited paper we examine the role of Service Function Chaining (SFC) and Network Slicing in providing support for emerging 5G services as data is carried across backhaul and metro networks.
The way in which backhaul and metro networks are managed and operated affects the ability of those networks to support a wide range of services that will be enabled by 5G connectivity. Those services will place exacting demands on the bandwidth, delay bounds, and jitter delivered to users, but may vary significantly over relatively short time periods. SFC and Network Slicing offer opportunities for software-driven coordination of network resources to marshal them so as to best deliver the network behaviour that will support the demands of the services.
We present the latest proposals towards standardisation of SFC and Network Slicing in the Internet Engineering Task Force (IETF) and discuss how these concepts are applied in optical networks through the Metro-Haul project.
By Danish Rafique, from Adva Optical Networking [ICTON I (Mo.B1.4), Monday, July 2, 11:00-12:40];
- Title: Interplay of Pulse Shaping and Pre-Emphasis for High Symbol Rate Coherent Transmission Systems
- Abstract: Digital pre-emphasis (DPE) in optical communications has been proposed to counteract transceiver bandwidth limitations, enabling higher symbol rate transmission with low bandwidth optoelectronic components. However, system design trade-offs for diverse regimes of weak and strong pre-emphasis largely remain unexplored. In this paper, we model 32Gbaud commercial transceivers’ component behavior to enable DPE-aided 64Gbaud operation, as opposed to high bandwidth components’ utilization.
Another by Danish Rafique [BigNeO II (Tu.A3.5), Tuesday, July 3, 8:30-10:10];
- Title: Machine Learning based Optimal Modulation Format Prediction for Physical Layer Network Planning
- Abstract: Machine learning allows for data-driven model development and consequent transmission quality prediction. While network planning is an extensive topic, in this paper, we focus on neural network based modulation format classification.
By Rui Manuel Morais and João Pedro from Coriant Portugal [BigNeO II (Tu.A3.4), Tuesday, July 3, 8:30-10:10)];
- Title: Evaluating Machine Learning Models for QoT Estimation
- Abstract: This work evaluates the effectiveness of various machine learning (ML) models when used to predict the Quality of Transmission (QoT) of an unestablished lightpath, speeding up the process of lightpath provisioning. Three network scenarios to efficiently generate the knowledge database used to train the models are proposed as well as an overview of the most used ML models. The considered models are: K nearest neighbors (KNN), logistic regression, support vector machines (SVM), and artificial neural networks (ANN). Results show that, in general, all ML models are able to correctly predict the QoT of more than 95% of the lightpaths. However, ANN is the model presenting better generalization, correctly predicting the QoT of up to 99.9% of of the lightpaths.
By R. Casellas, R. Martínez, R. Vilalta, and R. Muñoz from Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) [NetOrch (Mo.C3.5) Monday, July 2, 14:25-16:15];
- Title: Metro-Haul: SDN Control and Orchestration of Disaggregated Optical Networks with Model-Driven Development
- Abstract: SDN solutions for optical transport networks are often associated to single-vendor optical domains, managed as single entities, in a deployment model that is commonly referred to as fully aggregated. Such controllers do export and expose interfaces for the limited control of abstracted resources and operations via north-bound interface (NBI) to operations/business support systems (OSS/BSS), but such APIs are often vendor specific and internal control aspects related to provisioning, monitoring and resource management remain proprietary and not disclosed.
Disaggregation of optical networks refers to a deployment model of optical systems, by composing and assembling open, available components, devices and sub-systems. This disaggregation is driven by multiple factor (the mismatch between the needs of operators and the ability to deliver adapted solutions by vendors or the increase in hardware commoditization) and disaggregated networks are an excellent use case for open and standard interfaces, showing the benefits of a unified, model-driven development.
In this paper, we address the SDN control of a disaggregated optical networks and its role in a wider Control Management and Orchestration (COM) architecture to offer ETSI NFV Network Services in a metropolitan infrastructure, characterized by multiple geographical locations and NFVI. We highlight the main use cases and the implemented extensions to the ONOS Platform for the aforementioned purpose. We detail the design of the controller (core systems and applications); the approach taken for model driven-development, including the YANG modelling language for the different optical devices and the NETCONF protocol to remotely configure the devices and, finally, the experimental validation of the approach and implementation with selected scenarios.
M. Svaluto Moreolo, J. M. Fàbrega, L. Nadal, and L. Martín from Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) [ICTON V (Tu.B1.4), Tuesday, July 3, 10:40-12:35];
- Title: Optical Technology Options for Programmable S-BVT
- Abstract: Optical technology options for programmable sliceable bandwidth/bitrate variable transceivers (S-BVT) arepresented, reviewing our proposals based on adaptive multicarrier modulation. Special attention will be devotedto data plane solutions with high degree of (re)configurability and flexibility for the optical metro networksegment. We propose transceiver architectures based on modular design in order to target grow-as-neededapproach and optical domain disaggregation, identifying data plane elements that can be considered as separatemanagement and functional entities, as well as functionalities that can be moved to software.Our work in this direction is presented, focusing on the S-BVT features and capabilities, taken into account the optical system and its interrelationship with other elements of the network.
By Young Lee, R. Vilalta, R. Casellas, R. Martínez, and R. Muñoz from Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) [DCN II (We.C4.2),Wednesday, July 4, 13:50-15:40];
- Title: Auto-Scaling Mechanism in the ICT converged Cross Stratum Orchestration Architecture for Zero-Touch Service and Network Management
- Abstract: This paper is aimed to provide a novel approach for an auto-scaling mechanism that are applied in the ICT converged cross stratum orchestration (CSO) architecture. CSO refers to an end-to-end orchestration across Application orchestration, Data Center SDN orchestration, and WAN SDN orchestration so that applications can be created seamlessly and optimally for operators and their customers. The auto-scaling mechanism presented in this paper is built on active monitoring of both DC compute/storage/network resources and DCI Transport network resources and then provides dynamically configurable auto-scaling and resource re-allocation. This mechanism will help tremendously the operators to control and manage their networks in an automated fashion.
By R. Martínez, R. Casellas, J. M. Fàbrega, R. Vilalta, R. Muñoz, F. J. Vilchez, L. Nadal, M. Svaluto Moreolo, A. Villafranca, and P. Sevillano, from Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) [RONEXT I (We.D2.4), Wednesday, July 4, 16:30-18:10]
- Title: Integrated OAM and Transport SDN Architecture for Automatic and Dynamic Restoration of Signal-Degraded Connections within Flexi-Grid Optical Networks
- Abstract: The programmability of upcoming transport optical networks is handled by a centralized Transport SDN (T-SDN) controller. The T-SDN controller dynamically computes and selects the resources to automatically accommodate optical connection requests by configuring the involved network elements and devices (i.e., optical switches and transceivers). Additionally, the T-SDN controller should provide management functions to ensure high reliability and correct service status in terms of QoS, QoT, failure detection, etc. during the whole connection duration. These management functions are typically addressed by the operation, administration and maintenance (OAM) Handler. Thereby, the OAM Handler interacts with the monitoring system to gather notifications about connection failures or degradations and trigger the required actions to preserve / recover the services. This work first overviews the designed and implemented architecture integrating required OAM functions into a deployed T-SDN controller for flexi-grid optical networks. Next, two restoration routing approaches are presented, which are compared with respect to the blocked bandwidth ratio (BBR), restorability and average number of used sub-transceivers. The experimental performance is made varying both the traffic load and the generation of signal degraded events of existing connections, forcing their automatic restoration.
By Rui Manuel Morais and João Pedro from Coriant Portugal [BigNeO IV (Tu.C3.5), Tuesday, July 3, 13:50-15:25];
- Title: Impact of selected input features for lightpath feasibility validation using artificial neural networks
- Abstract: The new advents of 5G and Internet of Things (IoT) will impact the traffic, both in volume and dynamicity, at unprecedented rates. As a result, optical transport networks should become more responsive to the traffic changes as well as to operate more closely to optimality. Therefore, the implementation of a self-driving network is being proposed as a way to achieve these targets. One of the key challenges in this environment is the automatic rovisioning of lightpaths. In order to provision a lightpath, Quality of Transmission (QoT) needs to be estimated, which involves complex and time consuming computations. This work proposes the use of artificial neural networks (ANN) to speed up lightpath feasibility validation without performing full validation per request (slow) nor keeping a full database of feasible lightpaths (memory consuming). Moreover, we evaluate the impact of input features selection and number of neurons in the obtained accuracy.
20th International Conference on Transparent Optical Networks
The scope of the Conference is focused on the applications of transparent and all-optical technologies in telecommunications, computing and novel applications. Special sessions on superresolution light microscopy techniques and image processing will be included in the conference program.Conference topics include:
• Digital all-optical networks
• Ultra-dense wavelength-division multiplexing
• Ultra-fast optical time domain multiplexing
• Next generation networking
• Optical switching and routing (WAOR)
• Optical packet networks and services
• Optical memories and data storage
• Optical transparency and network scalability
• Network reliability and availability (RONEXT)
• Wireless and optical networking (GOWN)
• Radio-over-fibre transmission
• Broadband metro and access networks
• Market in telecommunications (MARS)
• Microwave photonicsPolarization-resolved optical microscopy
• Photonic band-gap structures (ESPC)
• Photonic crystal fibres
• Nonlinear and active PBG devices
• Nanoscale and ultrafast photonics (NAON)
• VCSELs and other novel light sources
• Microresonators and photonic molecules (MPM)
• Novel glasses
• New transmission windows
• Polarisation mode dispersion
• Photonic component integration (PICAW)
• Network planning and design tools
• Big data analytics & network optimization (BigNeO)
• Non-conventional optical communications
• Sub-wavelength photonic devices (SWP)
• Communication in transportation systems (CTS)
• Optical microscopy and nanoscopy techniques and applications
•Optical inspection of transparent samples: quatitative phase imaging (QPI)
•3D optical imaging and display
• Polarization-resolved optical microscopy
• Image processing
• Other relevant topics
The conference will take place at Central Library of University Politehnica Bucharest, 313 Splaiul Independentei, 060042, sector 6, Bucharest.