Machine learning-based path priority determination for routing data in software-defined networks

Abstract

In one example, a non-transitory computer readable storage medium may include instructions that, when executed by a processor, cause the processor to obtain historical logs associated with a plurality of available paths between a source node and a destination node. The historical logs may be obtained for a first interval by routing data over the available paths based on a first priority order and corresponding network characteristics parameters. Further, non-transitory computer readable storage medium may include instructions to determine a modified first priority order of the available paths and corresponding modified network characteristic parameters by analyzing the historical logs using a machine learning model and route the data from the source node to the destination node based on the modified first priority order.