System and method for configuring network elements in a design network topology

A method of configuring network elements in a design network topology, the method comprising:

• receiving an image of a design network topology comprising a plurality of network elements, wherein the design network topology provides at least one of structural or logical arrangements of the plurality of network elements in a communication network;
• attempt to retrieve design data from the received image corresponding to the design network topology using a constellation-based model and using a supervised machine learning algorithm when the design data cannot be retrieved using the constellation-based model, depending on a format of the received image;
• when the design data can be retrieved, querying a topologies database, which stores a plurality of previously determined network topologies, using the design data to find a previously determined network topology that substantially matches the design network topology, and identifying configurations for network elements in the matching network topology in a configurations database;
• when the design data cannot be retrieved, predicting a network topology using an unsupervised machine learning algorithm, and identifying configurations for network elements in the predicted network topology in the configurations database;
• determining design configurations for the network elements of the design network topology from the identified configurations;
• translating the design configurations of the network elements to a standard format;
• and
• pushing the translated design configurations to at least one of actual network elements or virtual network elements corresponding to the network elements.

A non-transitory computer readable medium storing instructions for configuring network elements in a design network topology, that when executed by at least one processor, cause the at least one processor to:

• receive an image of a design network topology comprising a plurality of network elements, wherein the design network topology provides at least one of structural or logical arrangements of the plurality of network elements in a communication network;
• attempt to retrieve design data from the received image corresponding to the design network topology using a constellation-based model and using a supervised machine learning algorithm when the design data cannot be retrieved using the constellation-based model, depending on a format of the received image;
• when the design data can be extracted, query a topologies database, which stores a plurality of previously determined network topologies, using the design data to find a previously determined network topology that substantially matches the design network topology, and identify configurations for network elements in the matching network topology in a configurations database;
• when the design data cannot be extracted from the received image, predict a network topology using an unsupervised machine learning algorithm, identify configurations for network elements in the predicted network topology in the configurations database;
• optimize the identified configurations of the network elements;
• translate the optimized configurations of the network elements to a standard format;
• and
• push the translated optimized configurations to at least one of actual network elements or virtual network elements corresponding to the network elements.