Intelligent Data Flow Aggregation in Edge Nodes of Optical Label Switching Networks

Current telecommunication networks have the same problems as fifty years ago. Users need more telecommunication resources for their applications with high quality of service. On the other hand, telecommunication operator should provide these resources and have the possibility to get profit from their business. That's why the task for improving the efficiency of using telecommunication resources is topical. In our article, we suggest to use Optical Label Switching technology as technology of link level which allows to use optical, time, and energy resources in efficient way. Algorithm of traffic aggregation in an edge node of OLS network is presented. This algorithm predicts the size of transport block based on the intensity of income traffic with using an artificial intelligence tool. This feature allows to reduce the amount of service data, and improve efficiency of using optical resources. These results are estimated in comparison with static algorithms.