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We optimize the regenerator allocation in nonlinear elastic networks whose traffic demands have random data rates. Compared with previous regenerator allocation algorithms, our method achieves the same blocking probability with 11% fewer regenerator sites.

Fluorination vs. chlorination: a case study on high performance organic photovoltaic materials

A regenerator predeployment algorithm is proposed in dynamic translucent flexible-grid networks based on the GN model. The randomness of traffic bandwidth requests is exploited to allocate regenerators efficiently. Our method accommodates 30% more demands than benchmark methods.

show that the SA algorithm has notably better optimization solutions, compared with a published algorithm, the recursive MILP [2]. Moreover, we also show that our proposed system, which is based on the CLGN model and the SA algorithm, speeds up the optimization process and provides similar resource usage, compared to the published benchmark system in [3].

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