Statistical Assessment of Open Optical Networks

Abstract

In order to cope with the increase of the final user traffic, operators and vendors are pushing towards physical layer aware networking as a way to maximize the network capacity. To this aim, optical networks are becoming more and more open by exposing physical parameters enabling fast and reliable estimation of the lightpath quality of transmission. This comes in handy not only from the point of view of the planning and managing of the optical paths but also on a more general picture of the whole optical network performance. In this work, the Statistical Network Assessment Process (SNAP) is presented. SNAP is an algorithm allowing for estimating different network metrics such as blocking probability or link saturation, by generating traffic requests on a graph abstraction of the physical layer. Being aware of the physical layer parameters and transceiver technologies enables assessing their impact on high level network figures of merit. Together with a detailed description of the algorithm, we present a comprehensive review of several results on the networking impact of multirate transceivers, flex-grid spectral allocation as a means to finely exploit lightpath capacity and of different Space Division Multiplexing (SDM) solutions.

An Optimal SDN-Based Wavelength Allocation and Routing Method for 5G Network

“…Jaumard and Daryalal [13] studied the problem of optical path rearrangement in RWA and used the e-optimal method to evaluate the minimum number of optical path rearrangements required to maximize the service level. Virgillito et al [14] proposed a routing and wavelength allocation algorithm based on prediction and hierarchical graph model, considering the needs and characteristics of service differentiation, and realized routing and wavelength resource allocation through the wavelength number prediction mechanism combined with the hierarchical graph model. Ricciardi et al [15] can realize the balanced utilization of network resources through dynamic switching between load balancing and energy sensing according to the network load in the process of link resource allocation.…”

A Novel Method for Routing Optimization in Software-Defined Networks

“…Software-Defined Networking (SDN) breaks the vertical structure of the traditional network model, separates control and forwarding, and provides more possibilities for network innovation and evolution. It is considered to be the main architecture of future networks, but in recent years, network scale Continuing to expand, network traffic has also grown exponentially, and the requirements for network control have become increasingly sophisticated [1][2][3][4][5]. Traditional network routing schemes rely primarily on the shortest path method, which has drawbacks such as sluggish convergence and difficulties coping with network congestion [6][7][8][9].…”