Comprehensive Analysis of‎ Network Performance Usіng Vario‎‎‎‎us Metrics and Algorithms

Abstract

Using a variety of measures and sophisticated algorithms, this study offers a thorough examination of network performance. This research on network performance presents a variety of measures and a number of sophisticated algorithms in their implementation. In ascertaining the dependability, latency, and performance of the network in the course of this work, the following were required to be measured: the CPU speed, bandwidth, I/O speed, traceroute response time, and ping response time. Sophisticated techniques of load balancing and server selection were used in locating high-performing IPs; these include Pincer Search and BENSER. Various means of indicators are highlighted within the article as important in understanding network behavior, specifically for complex routing configurations involving a wide range of traffic loads. Performance assessment issues, relating particularly to rapid development in networking technologies such as 5G and the increasing spread of IoT devices, have been discussed. Real-time performance improvement in networks is sought to be achieved by applying the logic of combined AI with machine learning techniques.