23rd Conference on Optical Network Design and Modelling
May 13-16, 2019
Achim Autenrieth, ADVA Optical Networking SE, Germany
Title: Photonic SDN Models for Disaggregated Optical Networks – Insights and Results from the SENDATE Multivendor Field Trial
Abstract: In recent standardization and research activities, data models for Software Defined Networking (SDN) control of (partially) disaggregated optical networks are defined and evaluated. In this paper, an overview of photonic SDN models for disaggregated optical networks is given, and their application and validation in a multi-vendor field trial is presented. In the field trial, transparent wavelength service activation was demonstrated across a disaggregated optical network using a multi-domain SDN-controller and real-time planning and performance validation application. Results of the field trial show that up-to-date optical impairments and constraints information allows multi-vendor optical network automation.
Kostas Christodoulopoulos, Nokia Bell-Labs, Germany
Title: Quality of Transmission Estimation and Planning with Low Margins
Abstract: In optical transport networks the Quality of Transmission (QoT) is estimated before provisioning new or upgrading existing connections. Traditionally, a physical layer model (PLM) is used for QoT estimation coupled with high margins to account for the uncertainty in the evolving physical layer conditions. Reducing the margins increases network efficiency but requires accurate QoT estimation. We present two machine learning (ML) approaches to formulate accurate QoT estimators. We use physical layer feedback, monitoring the QoT of existing connections, to understand the actual physical conditions of the network and train the estimators. We then quantify the benefits that accurate QoT estimation can yield when planning a network over multiple periods.
Hongxiang Guo, Beijing University of Posts and Telecommunications (BUPT), China
Title: Machine learning assisted optical network resource scheduling for parallel computing
Abstract: The parallel computing is essential to processing big data in a timely manner. Considering that the parallel computing jobs usually generate clustered yet correlative traffic patterns, it is critical to fully exploit the flexibility of optical interconnection networks in order to satisfy the complex and time-varying bandwidth demands among the computing resources. In this talk, we discuss using machine learning approaches to realize effective resource scheduling based on traffic pattern recognition.
Andrew Lord, British Telecom, UK
Title: The role of optical metro networks in 5G
Abstract: 5G brings with it a multitude of vertical applications, with a range of requirements including enormous bandwidth, compute, storage and low latency. Cost effective implementation will require an intelligent end-to-end network with a dynamic optical layer, orchestrated closely with the 5G slices. This invited presentation will discuss this theme and present current progress of the EU Metro-Haul project.
Joao Pedro, Infinera, Portugal
Title: Hybrid Backup Resource Optimization for VNF Placement over Optical Transport Networks
Abstract: The concept of edge-computing is vital in the 5G ecosystem, as a means of introducing application awareness in the network and enabling constructs such as slicing to be effectively implemented. In this scope, an efficient infrastructure dimensioning requires visibility of both network and data-center resources. While this joint optimization is becoming increasingly common even at the optical layer, some aspects of the dimensioning remain siloed between the network/IT worlds. Survivability mechanisms are one such example, where protection for lightpaths and/or virtual network functions (VNFs) is typically provisioned independently, incurring in resource overprovisioning. This paper investigates the merits of exploiting a hybrid strategy where backup resources are selectively distributed between the optical and IT layers, according to specific service requirements such as latency and bandwidth. Critically, this analysis considers the effect of optical path performance on the cost efficiency of protection mechanisms, which is shown to greatly influence the best option in each deployment scenario.
Nikos Pleros, Aristotle University of Thessaloniki, Thessaloniki, Greece
Title: Optics for disaggregating Data Centers and disintegrating Computing
Abstract: In this talk we will present our recent work on optical interconnects towards enabling resource disaggregation both on Rack-level as well as on board-level. We have recently demonstrated the Hipoλaos (High port λ-routed all optical switch) architecture that can efficiently integrate Spanke-based switching with AWGR-based wavelength routing and optical feedforward buffering techniques in high-port packet switch layouts with sub-μs latency values. The proof-of-concept Hipoλaos prototype, based on the 1024-port layout, featured a latency of just 456ns, while system level evaluations revealed that sub-μs latency performance can be successfully obtained for a variety of synthetic traffic profiles and for both unicast and multicast operation modes. Moving towards high-capacity board-level interconnects, we will discuss the latest technology achievements realized within the context of the H2020 ICT-STREAMS project, where single-mode optical PCBs hosting Si-based routing modules and mid-board transceiver optics expect to enable a massive any-to-any, buffer-less, collision-less and extremely low latency routing platform with 25.6Tb/s aggregate throughput. Departing from conventional monolithic chips, we will finally give a brief overview of the performance advances that can be achieved by pNoC-connected off-die cache memory architectures that allow for disintegration at chip-level, eventually allowing for highly modular and granular computational settings.
Nikolas sambo, Scuola Superiore Sant’Anna, Pisa, Italy
Title: Software-defined reconfigurability, white boxes, and abstraction
Abstract: Emerging services (e.g., 5G) will impose the involvement of a variety of business actors, technologies (e.g., wide area network, datacenters), and resources (e.g., compute, storage) into next generation networks. In addition, in the last years, vendor neutrality is attracting the interest of operators and service providers for inter-operability purposes in order to reduce network costs. An example is the white box, typically configured with the NETCONF protocol. In such a scenario, the management of heterogeneous resources will require their abstraction to provide information that is neutral with respect to the related vendor and technology. In this paper, we propose to use NETCONF also for the exchange of resource information among different business actors considering the several network segments (wide area network, data centers, radio segment) involved in a 5G vertical. To this purpose, resource abstraction is proposed based on a YANG data model. An experiment will involve the (re)configuration of a wide area network composed of white boxes. Moreover, abstracted resource information (e.g., virtual links) will be exchanged, among different business actors, through NETCONF with the objective of orchestrating resources.
Gangxiang (Steven) Shen, Soochow Univ., China
Title: Availability-Guaranteed Slice Provisioning in Wireless-Optical Broadband Access Networks Supporting Mobile Edge Computing
Abstract: We consider provisioning availability-guaranteed slices in a wireless-optical broadband access network (WOBAN) supporting mobile edge computing (MEC). A new availability definition is made to model a slice that is partially functioning because of the failure of a fiber link, a microwave link, a base station (BS), and/or an optical line terminal (OLT). An integer linear programming (ILP) model and a simple but effective heuristic algorithm are developed to maximize provisioning of availability-guaranteed slices. Results show the efficiency of the proposed approaches.
Yan Shuangyi, University of Bristol, UK
Title: Dynamic abstraction of optical networks with machine learning technologies
Abstract: The emerging 5G network will bring a huge amount of network traffic with big variations to optical transport networks. Software-defined optical networks and network function virtualization share a vision for future programmable, disaggregated, and dynamic optical networks. Programmable optical hardware with a reduced link margin improved the hardware utilization by introducing flexible network functions. Therefore, future optical networks will be more dynamic in network functions and network services, with high-frequency network reconfigurations. To configure network dynamically, real-time network abstractions are required for both current links and available-for-deploy links. The former abstraction guarantees the established links not be interfered by the newly established link while the latter abstraction provides information for network optimizations. In this talk, we use machine-learning technologies to process the collected monitoring data in a field-trial testbed to abstract performances of multiple optical channels. Based on the abstract information, a new channel can be established with maximum performance and minimized interferences on the current signals. We demonstrated the dynamic network abstraction over a 560-km field-trial testbed for 8 dynamic optical channels.
Suresh Subramaniam, ECE Department, George Washington University, Washington DC
Title: Topology Configuration using Bayesian Optimization in the RHODA Architecture
Abstract: The rapid growth of data center traffic requires data center networks (DCNs) to be scalable, energy-efficient, and provide low latencies. Several DCN architectures incorporating optical components and employing wavelength division multiplexing (WDM) have been proposed in recent years to solve the above challenges. One such architecture is the Reconfigurable, Hierarchical Optical DCN Architecture (RHODA). The hierarchical architecture organizes racks with large mutual traffic into clusters to achieve high throughput and scalability. Further, the inter-cluster topology is configurable on the fly based on the traffic demand. This paper proposes a Bayesian Optimization (BO) framework to optimize the inter-cluster topology in RHODA, and investigates and compares its performance with several other algorithms and topologies. Results demonstrate the efficacy of BO for solving this problem.
Dimitris Syvridis, National and Kapodistrian University of Athens, Dept. Of Informatics and Telecommunications, Greece
Title: Physical Layer Security in Optical Networks
Abstract: In this paper we discuss current challenges and future prospects related to Physical Layer Security of optical communication systems and Networks. The first part of the work will provide an overview of current challenges regarding prevention, detection and recovery for different attack types, together with the countermeasures proposed in the literature. In the second part we’ll provide some highlights of the physical layer encryption methods based on optical chaos encoding approaches as well as cryptographic key generation using Photonic Physical Unclonable Function devices.
Hidenori Takahashi, KDDI Research, Inc., Japan
Title: State-of-the-Art and Future of Submarine Cable System Technology
Abstract: Recently, the FASTER cable system has appeared as the first trans-pacific optical submarine cable systems designed for digital-coherent transmission at the initial state. After this drastic change for submarine cables, the design capacity is continuously upgraded following the improvement of state-of-art modulation format to maximize spectral efficiency even at the limited optical signal-to-noise ratio (OSNR). For next generation, the novel technologies are expected to increase the capacity per cable under the condition of limited feeding power and space in a cable. This talk reviews some technologies from current to the promising one for future submarine cable system such as the introduction of space-division-multiplexing (SDM) technologies.
Ricard Vilalta, CTTC, Spain
Title: Network programmability and automation in Optical Networks
Abstract: During last years, novel protocols and data models are arising to control and monitor optical network equipment. These protocols enable network programmability and automation by fulfilling the vision introduced by SDN. This invited talk will offer an overview and hands-on experience on programming the necessary tools to control and monitor the network equipment. Firstly, an overview on YANG data modeling language will be provided. Later, NETCONF protocol will be presented. Examples of client and server applications will be discussed. Several data models such as OpenROADM and OpenConfig and their usage will be detailed. Moreover, RESTconf interfaces such as ONF T-API 2.0 and IETF TEAS will be explained. Finally, the usage of gRPC protocol for network monitoring will be introduced.
Vinod Vokkarane, University of Massachusetts Lowell, USA
Title: Analytical Modeling of Survivable Anycast Communication in Optical Networks
Abstract: Network resources are imperfect and vulnerable to failure from a wide variety of sources. Survivability is a well-researched field that focuses on strategies to prevent or reduce the harm inflicted when network elements fail. Solutions tend to either provision resources, such as backup paths, proactively so that traffic can be switched to the alternative route after a failure, or quickly find new resources to provision after failure event occurs. Current survivability solutions guarantee protection against these failures, but there is no mathematical model to calculate the network blocking probability for survivability solutions of anycast communication. In this paper, we developed new analytical models to calculate network-wide blocking performance for anycast survivability approaches. Performance results show that our models are accurate and are verified by extensive simulation results.
Marija Furdek Prekratic, Chalmers University of Technology, Gothenburg, Sweden
Title: Network-Wide Localization of Optical-Layer Attacks
Abstract: Optical networks are critical infrastructure supporting vital services. However, they are vulnerable to different types of malicious human activities targeting service disruption or eavesdropping at the optical layer, due to the limitation of current methods to detect and localize the sources of attacks. In this talk we will present a novel framework for attack detection based on experimental attack traces from an optical testbed with DSP-enabled receivers, facilitating the optical network to act as a sensor for physical-layer attacks.
Eitan Zahavi, Mellanox, Israel
Title: Fundamental considerations in Optical Data Center Network (ODCN) Architectures
Abstract: Optical Data Centers raise an alternative to Electrical Packet Switching networks. In my talk I provide the main motivation behind ODCNs and outline some fundamental limitations that prevent central controlled ODCNs from scaling. Then I highlight some alternative architectures. Finally I highlight the contradiction of using Electrical ToR switches to the presented ODCN motivation.