{'fraction_non_alphanumeric': 0.013496932515337423, 'fraction_numerical': 0.0, 'mean_word_length': 5.528, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Experimental study of RED Performance by regulating Upper Threshold Parameter

The Active Queue Management [AQM] algorithms achieve high throughput and low average delay by stabilizing the average queue size by mapping the congestion level into packet drop probability [PDP]. Random Early Detection [RED] is widely used AQM mechanism for detection and avoidance of incipient congestion, but it is very sensitive to its parameter setting that can degrade network performance. This paper describes a new enhanced mechanism to reduce parameter sensitivity and to improve the network performance in a congested network. This mechanism has been tested in different network scenarios to test its validity and results shows that proposed mechanism have improved packet delivery ratio and throughput in a congested network.