Autonomous Capacity Adjustment with Dynamic Margin Allocation for Optical Enterprise Links.

Mihail Balanici,Behnam Shariati,Pooyan Safari,Geronimo Bergk,Johannes Karl Fischer

Optical Fiber Communications Conference and Exhibition（2024）

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摘要

This work presents a novel machine learning-based dynamic capacity allocation scheme for efficient bandwidth provisioning of optical links. It offers an average hourly capacity saving of over 75% compared to traditional static capacity allocation mechanisms.

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Dynamic Allocation,Optical Link,Capacity Adjustment,Provisioning,Average Hours,Capacity Allocation,Data Rate,Promising Way,Traffic Flow,Flow Variables,Adaptive Adjustment,Traffic Prediction,Traffic Rate,Traffic Forecasting,Traffic Behavior,Maximum Data Rate,Burstiness,Traffic Variables

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