Resource Aware Adaptive Link Weight based Dynamic Routing and Spectrum Allocation in Elastic Optical Network

Elastic Optical Networks (EONs) are next-generation technology for growing traffic demands. Routing and spectrum assignment (RSA) algorithms run on the software-defined networking (SDN) controller and help in the efficient resource provisioning for the requested demands. The routing algorithm selects the shortest path between the source-destination nodes and the SA algorithm assigns the requested frequency slots (FSs) in the path links by satisfying spectrum constraints. The routing is of two types, static and dynamic. The static routing selects the fixed shortest path each time between the given source-destination nodes while the dynamic routing is flexible and selects the path depending upon the link status and resource availability between the source-destination node pair. The drawback of the static routing is the overburdening of the link resources because of the selection of the pre-defined fixed routes between source-destination nodes resulting in increased request-blocking probability (RBP). Therefore this paper has proposed a dynamic routing and spectrum allocation with an adaptive link weight (DRSA-ALW) algorithm that modifies the link weights with the arrived traffic and selects the path depending on the link resource availability. The simulation results demonstrate that the DRSA-ALW algorithm provides uniform traffic distribution resulting in efficient resource provisioning and reduced RBP as compared to the benchmark algorithm.