Abstract
With the increasing bandwidth requirements for people and the development of urbanization, the movement of the population in the city (especially the supercity) has an increasing influence on the traffic distribution in both space and time dimensions. The imbalanced distribution results in the regional blocking of different areas in different time periods and reduces the spectrum resource utilization in elastic optical networks. To resolve this problem, this paper proposes a tidal traffic model to formulate a kind of tidal traffic phenomenon firstly. Based on the analysis for this model, the area-aware routing and spectrum allocation algorithm that focuses on the traffic adjustment in specific functional areas is proposed. And two benchmark algorithms named min-hop k-shortest path routing algorithm and occupied-slots-as-weight k-shortest path routing algorithm are introduced. The evaluation results show that, compared to the benchmark algorithms, the proposed area-aware algorithm could reduce the blocking probability efficiently from 2% to 47% with low time complexity.
Highlights
In recent years, the Internet has been achieving rapid development, and its traffic has been increasing exponentially
We focus on the tidal traffic distribution in supercity’s metro Elastic Optical Networks (EONs)
Compared to the Onion Tidal Traffic Model (OTTM) proposed in our previous work [20], Multi-Step Trigonometric Model (MSTM) introduces comprehensive area (CA) to explain the traffic for the areas that are neither residential area (RA) nor office area (OA)
Summary
The Internet has been achieving rapid development, and its traffic has been increasing exponentially. Compared to the Onion Tidal Traffic Model (OTTM) proposed in our previous work [20], MSTM introduces CA to explain the traffic for the areas that are neither RA nor OA. ROUTING AND SPECTRUM ALLOCATION ALGORITHMS UNDER TIDAL TRAFFIC MODEL Compared to the basic and general routing algorithms like shortest-path algorithm [24] and k-shortest-paths algorithm [25], the heuristic algorithms applied to specific scenarios could improve the performance by using the uneven distribution in different aspects. The algorithm PD-RSA and PDK-RSA proposed in our previous work [20] could be only applied to the tidal traffic scenario with only two kinds of areas, but not be applied to the MSTM scenario in this paper.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
