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For applications to acquire new organization semantics, overlay networks reflect a scalable and deployable solution, however, they experience the ill effects of certain proficiency concerns. Two new natives for execution in the organization layer are proposed to effectively help overlay networks. In nearby routers, Packet Reflection permits end hosts to demand cut off steering and replication. Path Painting enables several ends to be painted. Hosts to decide the location of their various paths, In order to allow overlay, the rendezvous point meets Constructing topology. Incrementally, both primitives are Implementable. In general, techniques are defined to dynamically determine a logical network topology to transport network traffic more efficiently over a physical topology based on end-to-end network traffic demands and network characteristics of the optical transport network (OTN). The methods can be used to meet the demands of network traffic imposed on a multi-layer network with a base transport layer and a layer of logical or overlay Internet Protocol (IP) routed on the transport layer. We compare and evaluate, to achieve justice, Different targets of traffic advancement for topology improvement. The use of neural networks for the simulation of nonlinear relationships. By using neural organizations, we intend to forestall any shamefulness, for example, Like dismissing direct guess. Our work also indicates which In network optimization, functions are essential for machine learning. Our methodology is partly in harmony with the previous work, and we The best performing optimization target is to conclude the delay.