Elastic Routing Frameworks: A Novel Approach to Dynamic Path Optimization in Distributed Networks

Abstract

The application of distributed networks such as the hybrid cloud, IoT structure, and the 5G system shows that conventional routing protocols cannot handle dynamic systems and unpredictable calls. This paper presents the ERF, a novel concept intended as a shift from conventional approaches used in narrow domains such as Elasticity. It may react instantly to choose the most effective way to accomplish a given objective by scaling or changing course. ERF leverages sophisticated artificial intelligence algorithms and real-time traffic information to optimize path choices and their reliability. Its methodologies are designed to integrate with existing systems and make network conditions ahead of schedule while generally suggesting latency, throughput, and reliability enhancements. Empirical results prove that ERF is effective in overcoming the problems of RTT-based routing for current referential distributed networks. Whereas these inventions provide the basis for future developments in improving networks, they are particularly valuable to administrators, service providers, and end-users in dynamic networks.