Segment routing for effective recovery and multi-domain traffic engineering

Segment routing is an emerging traffic engineering technique relying on Multi-protocol Label-Switched (MPLS) label stacking to steer traffic using the source-routing paradigm. Traffic flows are enforced through a given path by applying a specifically designed stack of labels (i.e., the segment list). Each packet is then forwarded along the shortest path toward the network element represented by the top label. Unlike traditional MPLS networks, segment routing maintains a per-flow state only at the ingress node; no signaling protocol is required to establish new flows or change the routing of active flows. Thus, control plane scalability is greatly improved. Several segment routing use cases have recently been proposed. As an example, it can be effectively used to dynamically steer traffic flows on paths characterized by low latency values. However, this may suffer from some potential issues. Indeed, deployed MPLS equipment typically supports a limited number of stacked labels. Therefore, it is important to define the proper procedures to minimize the required segment list depth. This work is focused on two relevant segment routing use cases: dynamic traffic recovery and traffic engineering in multi-domain networks. Indeed, in both use cases, the utilization of segment routing can significantly simplify the network operation with respect to traditional Internet Protocol (IP)/MPLS procedures. Thus, two original procedures based on segment routing are proposed for the aforementioned use cases. Both procedures are evaluated including a simulative analysis of the segment list depth. Moreover, an experimental demonstration is performed in a multi-layer test bed exploiting a software-defined-networking-based implementation of segment routing

Non-Linear SNR Degradation of Mixed 10G/100G Transmission Over Dispersion-Managed Networks

Enabling the mixed 10G IMDD with 100G coherent channels transmission over legacy dispersion-managed links on metro network chunks will come in handy for the operators to increase network flexibility while saving on CAPEX and operate progressive upgrades with no impact on existing traffic. We developed a semi-analytical model for 10G-to-100G XPM noise allowing QoT estimation on mixed 10G/100G systems

Spatially Disaggregated Modelling of Self-Channel NLI in Mixed Fibers Optical Transmission

We simulate and observe the buildup of coherency in self-channel interference. We propose a spatially disaggregated model for non-uniform links with uncompensated and compensated spans. We show that the correlation coefficient can be described by a unique curve

Experimental Validation of QoT Computation in Mixed 10G/100G Networks

We validate experimentally a quality-of-transmission estimator of the non-linear impairment on coherent 100G channels propagating with 10G channels on dispersion-managed links for network planning and path computation. Presented estimations are conservative, spectrally and spatially disaggregated

Spectroscopic-grade X-ray imaging up to 100 kHz frame rate with controlled-drift detectors

Controlled-drift detectors are fully depleted silicon detectors for X-ray imaging that combine good position resolution with very fast frame readout. The basic feature of the controlled-drift detector is the transport of the charge packets stored in each pixel column to the output electrode by means of a uniform drift field. The drift time of the charge packet identifies the pixel of incidence. Images of an X-ray source obtained with the controlled-drift detector up to 100-kHz frame rate are presented and discussed. The achievable energy resolution as a function of the operating temperature and frame rate is analyzed