Paper Abstract and Keywords |
Presentation |
2020-03-05 11:40
A proposal of topology design method for optical transmission networks Kohjun Koshiji (NTT), Masaki Okada (JAIST), Yasuharu Kaneko, Mika Ishizuka, Saburo Seto, Seisho Yasukawa (NTT) NS2019-200 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, with the spread of communication services utilizing AI (Artificial Intelligence) and IoT (Internet of Things), requirements of higher speed and larger capacity for optical transmission networks have been increasing. Accordingly, the importance of improving the allocation efficiency of the communication demand has been increasing. In order to improve the allocation efficiency, it is effective to balance the load by traffic engineering such as selecting a route with a low usage rate of the wavelength resource. However, considering the bias of communication demand occurrence and the requirement of communication delay, the applicable range of the route selection between the source and destination of the communication demand is limited, so that a sufficient load balancing effect may not be obtained. If the tendency of communication demand occurrence is known, it is possible to design a topology that avoids concentration of communication demand at a specific node or edge. In this paper, assuming that the tendency of communication demand occurrence is known, we propose a topology design method that balances the accommodation load of communication demand by bypassing to the existing base optical transmission network. As a result, the calculation time for determining the bypass route can be reduced by dividing the domain and narrowing down the bypass candidates, and the load balancing effect comparable with that of the exact solution can be obtained. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Optical transmission network / Topology design / Optimization / Domain split / Bypass / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 460, NS2019-200, pp. 135-140, March 2020. |
Paper # |
NS2019-200 |
Date of Issue |
2020-02-27 (NS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NS2019-200 |
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