Generic Dijkstra for optical networks

TL;DR

The paper introduces a generalized Dijkstra algorithm tailored for optical networks, enabling efficient real-time control and spectrum allocation in complex network scenarios, outperforming existing algorithms.

Contribution

A novel, generalized Dijkstra algorithm that handles the unique constraints of optical networks, including wavelength continuity and contiguity, with a reliable open-source implementation.

Findings

Algorithm outperforms three existing optimal algorithms in simulations.

Successfully handles spectrum continuity and contiguity constraints.

Enables real-time control for large-scale optical networks.

Abstract

We present the generic Dijkstra shortest path algorithm: an efficient algorithm for finding a shortest path in an optical network, both in a wavelength-division multiplexed network, and an elastic optical network (EON). The proposed algorithm is an enabler of real-time softwarized control of large-scale networks, and is not limited to optical networks. The Dijkstra algorithm is a generalization of the breadth-first search, and we generalize the Dijkstra algorithm further to resolve the continuity and contiguity constraints of the frequency slot units required in EONs. Specifically, we generalize the notion of a label, change what we iterate with, and reformulate the edge relaxation so that vertices are revisited, loops avoided, and worse labels discarded. We also used the typical constriction during edge relaxation to take care of the signal modulation constraints. The algorithm can be used with various spectrum allocation policies. We motivate and discuss the algorithm design, and provide our free, reliable, and generic implementation using the Boost Graph Library. We carried out 85000 simulation runs for realistic and random networks (Gabriel graphs) of 75 vertices with about a billion shortest-path searches, and found that the proposed algorithm outperforms considerably three other competing optimal algorithms that are frequently used.