9 research outputs found

    First Experimental Demonstration of ABNO-driven In- Operation Flexgrid Network Re-Optimization

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    Abstract: The after failure repair optimization problem is used to experimentally validate inoperation planning using the ABNO architecture to control a flexgrid optical network. A backend PCE is used to solve this computationally-intensive planning problem. Introduction In-operation network planning consists in making network resources available by reconfiguring and/or reoptimizing the network on demand and in real-time As a use case of network re-optimization, in this paper we face the after failure repair optimization (AFRO) problem, defined in To implement in-operation planning, a control plane architecture automating connection provisioning is needed. In that regard, the IETF is currently defining the Application-Based Network Operations (ABNO) architecture [5] based on functional elements, such as the active stateful Path Computation Element (PCE

    Experimental Assessment of a Flow Controller for Dynamic Metro-Core Predictive Traffic Models Estimation

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    A Flow Controller is proposed and experimentally assessed to share updated metro-flow predictive traffic models among metro and core controllers. The proposed controller allows a fast core flow traffic models re-estimation after flow traffic re-routing in metro areas

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

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    MPLS-over-optical virtual network topologies (VNTs) 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 cases, OD traffic patterns in the core might severely change, thus affecting the quality of the predictive OD models. New traffic model re-estimation usually takes a 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 algorithmthat 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)

    First Experimental Assessment of ABNO-Driven In-Operation Flexgrid Network Re-Optimization

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    An Architecture to Support Autonomic Slice Networking

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    Network slices combine resource virtualization with the isolation level required by future 5G applications. In addition, the use of monitoring and data analytics help to maintain the required network performance, while reducing total cost of ownership. In this paper, an architecture to enable autonomic slice networking is presented. Extended nodes make local decisions close to network devices, whereas centralized domain systems collate and export metered data transparently to customer controllers, all of them leveraging customizable and isolated data analytics processes. Discovered knowledge can be applied for both proactive and reactive network slice reconfiguration, triggered either by service providers or customers, thanks to the interaction with state-of-the-art software-defined networking controllers and planning tools. The architecture is experimentally demonstrated by means of a complex use case for a multi-domain multilayer MPLS-over-optical network. In particular, the use case consists of the following Observe-Analyze-Act loops: i) proactive network slice rerouting after BER degradation detection in a lightpath supporting a virtual link (vlink); ii) reactive core network restoration after optical link failure; and iii) reactive network slice rerouting after the degraded lightpath is restored. The proposed architecture is experimentally validated on a distributed testbed connecting premises in UPC (Spain) and CNIT (Italy)

    Experimental Assessment of Inter-datacenter Multicast Connectivity for Ethernet services in Flexgrid Networks

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    Abstract We demonstrate an orchestrated inter-datacenter multicast connectivity for Ethernet services. An ABNO-driven workflow is experimentally validated to provision p2mp connectivity over a multilayer Ethernet-over-Flexgrid network. Experimental validation was carried out on a distributed infrastructure connecting Telefonica, CNIT, and UPC premises

    Fully disaggregated ROADM white box with NETCONF/YANG control, telemetry, and machine learning-based monitoring

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    A first demonstration of ROADM White Box augmented with machine learning capabilities is demonstrated. The white box includes various level of disaggregation, NETCONF/YANG control, telemetry and spectrum-based advanced monitoring functionalities
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