submitted on 2023-08-27, 10:37 and posted on 2023-09-19, 12:26authored byAkhtar Nawaz Khan, Hassan Yousif Ahmed, Medien Zeghid, Samir Brahim Belhaouari, Waqas Imtiaz, Khurram Khattak
<p>We have proposed hybrid approaches to solve dynamic provisioning problems in fixed-grid and elastic optical networks (EON). The proposed approaches use the information from the optimization models, which normally are used to solve static problems, to guide the search for a good solution in dynamic networking. We have presented three models, i.e., Route-Model, RouteRes-Model, and RouteEON-Model. Route-Model computes routing information which is integrated with the first-fit algorithm. RouteRes-Model computes routes and a set of wavelengths for each end pair. Both models are utilized for dynamic provisioning of routing and wavelength assignment in fixed-grid networks. Similarly, RouteEON-Model considers the elastic characteristics of flexible networks and computes routing information. This is integrated with the first-fit algorithm for dynamic provisioning. The proposed solutions efficiently reduce the blocking probability (BP) in fixed-grid networks and the bandwidth BP in EON compared to the shortest path first (SPF) routing and alternate (k=2) routing. Similarly, RouteRes-Model achieved high wavelength utilization compared to other solutions. Finally, the proposed solutions utilized approximately equal number of paths compared to SPF routing. However, compared to SPF routing, Route-Model and RouteRes-Model supported approximately 43% and 66% more traffic respectively while alternate routing supported 36% more traffic for the same values of BPs.</p><h2>Other Information</h2><p>Published in: IEEE Photonics Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jphot.2021.3102871" target="_blank">https://dx.doi.org/10.1109/jphot.2021.3102871</a></p>
Funding
Open Access funding provided by the Qatar National Library.