Evaluating Bandwidth Management Techniques on Mikrotik Routers: A Multiple Linear Regression Approach

For computer networks, bandwidth management is essential.Bandwidth management is a strategy used in network administration to try and provide fair and acceptable network performance.Researchers have monitored the effectiveness of bandwidth management methods including Per Connection Queue (PCQ), Random Early Detection (RED), and First In First Out (FIFO) schemes using the Simple Network Management Protocol (SNMP) protocol.(1) To ascertain which of the PCQ, RED, and FIFO bandwidth management techniques performs best is the main goal of this study.( 2) Is able to forecast how well bandwidth management techniques will function on a network, providing a guide for putting the best techniques into practice.This study included a variety of methodologies, including testing, design, implementation, and analysis.The PCQ method performs better than the RED or FIFO methods when monitored using the SNMP protocol and the Cacti application as an interface.Predictions using multiple linear regression on bandwidth management methods are used to estimate the CPU and memory performance of the PCQ, RED, and FIFO Mikrotik routers that are implemented on the network constructed by researchers.Compared to the prediction accuracy on CPU performance, which has a total average error value of 0.9204, the memory performance prediction accuracy using multiple linear regression is more accurate, with a total average error value of 0.0315.