This review paper explores statistical methodologies for analyzing network characteristics, dimensioning, parameter estimation, and cost prediction of optical networks, and provides a generalized framework based on the idea of convex areas, and link length and shortest path. This review paper explores statistical methodologies for analyzing network characteristics, dimensioning, parameter estimation, and cost prediction of optical networks, and provides a generalized framework based on the idea of convex areas, and link length and shortest path. This review paper explores statistical methodologies for analyzing network characteristics, dimensioning, parameter estimation, and cost prediction of optical networks, and provides a generalized framework based on the idea of convex areas, and link length and shortest path length distributions. fic commercial systems and the complexity and analog nature of optical transmission. Currently, a number of models for optical networks are available They all claim to provide open and vendor. This document defines YANG data models to describe the topology and tunnel information of a fine grain Optical Transport Network. ¶ This. In SG15, transport networks are modelled as a set of recuring layer networks each of which offers the same service using a specific protocol (the characteristic information). A client layer is supported by a server layer. The pattern is repeated as many times as. Springer International Publishing, LNCS-11616, 2020, Lecture Notes in Computer Sci-ence, 978-3-030-38084-7. ⟨hal-03200767⟩ HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific re-search documents, whether they are published or.