Adaptive Queue Management Algorithm with Joint Scheduling Feedback Mechanism in AOS

We study the multiplexing of advanced orbiting systems based on self-similarity traffic flows, and propose an adaptive queue management algorithm with joint scheduling feedback mechanism. The algorithm uses the ON/OFF model to generate self-similarity traffic flows, and discards packets purposefully before they enter the virtual channel cache. The algorithm takes into account the congestion degree of the data frame cache in the scheduling module, feeds it back to the queue management module, and combines it with the duration when the ON/OFF sources generate data packets to establish a joint discarding probability mechanism, through which lower queue delay and effective system congestion control can be achieved. The simulation results show that this algorithm can not only reduce system surplus, but also reduce the average system delay greatly. Thus, the congestion phenomenon in virtual channels is effectively solved and the overall performance of the system is improved.