A simple active queue management based on the prediction of the packet arrival rate

Qin Xu,Jinsheng Sun

doi:10.1016/j.jnca.2014.03.006

Abstract

In this paper, we predict the change in the packet arrival rate at the link through the analysis of the network congestion control mechanism. An appropriate expression for dropping probability is derived based on this prediction to stabilize the queue length to the desired value. A new Active Queue Management (AQM) algorithm named as Straightforward AQM (SFAQM) is proposed with simple implementation. Its analysis of the stability is also carried out, and the necessary and sufficient condition for the system to be stable is presented. The simulation results using NS2 demonstrate that SFAQM is effective in different network environments. Compared to the conventional AQM controllers, such as PI, RaQ and CARED, SFAQM has smaller queue length jitter and faster convergence speed.

Highlights

Since the very beginnings of the telecommunications industry, Inter-provider communication has been a necessity for every telecommunication provider throughout the world
This paper aims to present a traffic model for internetwork and inter-provider Multi-Protocol Labeled Switching (MPLS) (Multi-Protocol Label Switching) networks, using their characteristics and advantages
All traffic must be carried in the four African Classes of Service (CoS), Globenet data must be labeled such that when this traffic arrives at the Virtual POP (VPOP), it can be differentiated in terms of the five queues defined by Globenet

Summary

Introduction

Since the very beginnings of the telecommunications industry, Inter-provider communication has been a necessity for every telecommunication provider throughout the world. In addition to that discussed earlier it is important to mention the work carried out in [15], which presents an interconnection model that uses a PCE-based interlayer technique to compute shortest paths based on GMPLS Traffic Engineering methods. It does not focus on path computation between providers or domains, the model considers path computation between layers rather than network nodes, which is especially useful for systems that combine many different layer technologies. Because the models presented in [16] were not validated, Section 3 includes the results of model validation carried out using computational tools, starting from the configuration specifications defined for Globenet in [14]

Flow-based model for dynamic queue balancing

Discussion

Findings

Conclusions