Machine-Learning-Aided Bandwidth and Topology Reconfiguration for Optical Data Center Networks

We present an overview of the application of machine learning for traffic engineering and network optimization in optical data center networks. In particular, we discuss the application of supervised and unsupervised learning for bandwidth and topology reconfiguration

All-optical aggregation and distribution of traffic in large metropolitan area networks using multi-Tb/s S-BVTs

Current metropolitan area network architectures are based on a number of hierarchical levels that aggregate traffic toward the core at the IP layer. In this setting, routers are interconnected by means of fixed transceivers operating on a point-to-point basis where the rates of transceivers need to match. This implies a great deal of intermediate transceivers to collect traffic and groom and send it to the core. This paper proposes an alternative scheme based on sliceable bandwidth/bitrate variable transceivers (S-BVTs) where the slice-ability property is exploited to perform the aggregation of traffic from multiple edges �� -to-1 rather than 1-to-1. This approach can feature relevant cost reductions through IP offloading at intermediate transit nodes but requires viable optical signal-to-noise ratio (OSNR) margins for all-optical transmission through the network. In this work, we prove through simulation the viability and applicability of this technique in large metro networks with a vertical-cavity-surface-emitting laser-based S-BVT design to target net capacities per channel of 25, 40, and 50 Gb/s. The study reveals that this technology can support most of the paths required for IP offloading after simulation in a semi-synthetic topology modeling a 20-million-inhabitant metropolitan area. Moreover, OSNR margins enable the use of protection paths (secondary disjoint paths) between the target node and the core much longer than primary paths in terms of both the number of intermediate hops and kilometers.European Union H2020 project PASSION, grant no. 780326 (http://www.passion-project.eu/)

Control Plane Hardware Design for Optical Packet Switched Data Centre Networks

Optical packet switching for intra-data centre networks is key to addressing traffic requirements. Photonic integration and wavelength division multiplexing (WDM) can overcome bandwidth limits in switching systems. A promising technology to build a nanosecond-reconfigurable photonic-integrated switch, compatible with WDM, is the semiconductor optical amplifier (SOA). SOAs are typically used as gating elements in a broadcast-and-select (B\&S) configuration, to build an optical crossbar switch. For larger-size switching, a three-stage Clos network, based on crossbar nodes, is a viable architecture. However, the design of the switch control plane, is one of the barriers to packet switching; it should run on packet timescales, which becomes increasingly challenging as line rates get higher. The scheduler, used for the allocation of switch paths, limits control clock speed. To this end, the research contribution was the design of highly parallel hardware schedulers for crossbar and Clos network switches. On a field-programmable gate array (FPGA), the minimum scheduler clock period achieved was 5.0~ns and 5.4~ns, for a 32-port crossbar and Clos switch, respectively. By using parallel path allocation modules, one per Clos node, a minimum clock period of 7.0~ns was achieved, for a 256-port switch. For scheduler application-specific integrated circuit (ASIC) synthesis, this reduces to 2.0~ns; a record result enabling scalable packet switching. Furthermore, the control plane was demonstrated experimentally. Moreover, a cycle-accurate network emulator was developed to evaluate switch performance. Results showed a switch saturation throughput at a traffic load 60\% of capacity, with sub-microsecond packet latency, for a 256-port Clos switch, outperforming state-of-the-art optical packet switches

Optical Networks and Interconnects

The rapid evolution of communication technologies such as 5G and beyond, rely on optical networks to support the challenging and ambitious requirements that include both capacity and reliability. This chapter begins by giving an overview of the evolution of optical access networks, focusing on Passive Optical Networks (PONs). The development of the different PON standards and requirements aiming at longer reach, higher client count and delivered bandwidth are presented. PON virtualization is also introduced as the flexibility enabler. Triggered by the increase of bandwidth supported by access and aggregation network segments, core networks have also evolved, as presented in the second part of the chapter. Scaling the physical infrastructure requires high investment and hence, operators are considering alternatives to optimize the use of the existing capacity. This chapter introduces different planning problems such as Routing and Spectrum Assignment problems, placement problems for regenerators and wavelength converters, and how to offer resilience to different failures. An overview of control and management is also provided. Moreover, motivated by the increasing importance of data storage and data processing, this chapter also addresses different aspects of optical data center interconnects. Data centers have become critical infrastructure to operate any service. They are also forced to take advantage of optical technology in order to keep up with the growing capacity demand and power consumption. This chapter gives an overview of different optical data center network architectures as well as some expected directions to improve the resource utilization and increase the network capacity