M-GREEN: An active queue management mechanism for multi-QoS classes

•We proposes a QoS AQM mechanism, M-GREEN, for multi-QoS classes.•It extends the concept of “Random” in RED to “Global Random”.•It extends the concept of “Early Detection” in RED to “Early Estimation”.•It extends the “linear” concept of RED to an “exponential” one.

This paper proposes a QoS active queue management (AQM) mechanism for multi-QoS classes, named as M-GREEN (Global Random Early Estimation for Nipping), which includes the consideration of QoS parameters and provides service differentiation among different flows/classes. M-GREEN extends the concept of “Random” and “Early Detection” in RED to “Global Random” and “Early Estimation,” respectively. Furthermore, M-GREEN extends the “linear” concept of RED to an “exponential” one to enhance the efficiency of AQM. For performance evaluation, extensive numerical cases are employed to compare M-GREEN with some popular AQM schemes and to show the superior performance and characteristics of M-GREEN. Consequently, M-GREEN is a possible way to provide the future multimedia Internet with differential services for different traffic classes of diverse QoS requirements.