ANALYSIS OF THE IMPLEMENTATION OF INTERNET AUTONOMOUS SYSTEMS: TOPOLOGY CLASSIFICATION FOR INTERNET AUTONOMOUS SYSTEMS.

Abstract

The exponential growth of the internet is making data management and data routing across global networks increasingly difficult. Because getting online is so simple now, this is the current situation. Under the watchful eye of several institutions, autonomous systems (AS) on the Internet function as decentralised networks that follow conventional routing protocols. This layout is made feasible by distributed networks, or AS. These auxiliary pieces are the most important ones for the system. The study delves further into the effects of various topological topologies on the functionality and efficiency of Internet Autonomous Systems. By analysing each of the many topological structures, this research delves deeply into the problem of topology categorisation inside these systems. The operational characteristics, fault tolerance, scalability, and routing efficiency of the presently utilised AS topologies will be used to categorise them in this research. Hybrid, ring, star, mesh, and many more topologies are all a part of this vast group. Three key performance characteristics are data transfer rates, network dependability, and routing stability that should be considered while establishing an AS. Experts take into account each of these separate factors. More successful implementation procedures may be executed with the help of such topologies. Network engineers and lawmakers will have more data to work with when deciding on dependable and scalable alternative service deployment topologies thanks to this research. Increased connection, speed, and resilience may be achieved by integrating this kind of research and categorisation into the design of the internet's infrastructure. This program will be priceless in a future when all processes are being done digitally. The internet's architecture is one area that can be improved using this technique.