Resource allocation using SPA based on different cost functions in elastic optical networks

TL;DR

This paper investigates how different cost functions influence resource allocation in elastic optical networks, demonstrating that combining link length with usage probability minimizes blocking probability.

Contribution

It introduces a new cost factor based on link usage probability and compares static and dynamic costs, enhancing routing efficiency in elastic optical networks.

Findings

Shortest path algorithm with combined cost reduces blocking probability

Dynamic costs outperform static costs in network capacity

Link usage probability improves resource allocation effectiveness

Abstract

Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section of this problem. The efficiency of these algorithms is partly based on how the cost on each link is defined. In this study, we consider several basic costs and compare their effects on the network capacity. In particular, the static costs and the dynamic costs are evaluated and compared; For dynamic scenarios, compared to static scenarios, at least one additional factor is added that, for instance, can be usage of the link. We further consider a new factor that is based on probability of accommodating the signal at a given time in any given link. The results show that, among them, the shortest path algorithm provides the least blocking probability when the cost is a combination of link length and the abovementioned possibility/ usage of the link.