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QBLUE: A New Congestion Control Algorithm Based on Queuing Theory

Xunli Fan, Jie Zhang, Lin Guan, Xingang Wang

Open publisher page 4 citations

Abstract

Active Queue Management (AQM) algorithm, as a typical router based congestion control strategy, has been the focus of researchers in the past few years and widely used in congestion control. There are a few drawbacks such as large queuing delay and queue jitter, which cause data retention drop and oscillation. It means that the existing AQM algorithms under high bandwidth can not meet the Quality of Service (QoS) requirements. This paper presents a new algorithm based on the traditional BLUE algorithm and M/M/1/N queuing model which is called QBLUE. Empirical simulations with various experiment data analysis have demonstrated that the prompted new algorithm can reduce the packet dropping rate, increase bandwidth utilization and stabilize the queue length.

About this research paper

What this paper is about

Active Queue Management (AQM) algorithm, as a typical router based congestion control strategy, has been the focus of researchers in the past few years and widely used in congestion control. There are a few drawbacks such as large queuing delay and queue jitter, which cause data retention drop and oscillation. It means that the existing AQM algorithms under high bandwidth can not meet the Quality of Service (QoS) requirements. This paper presents a new algorithm based on the traditional BLUE algorithm and M/M/1/N queuing model which is called QBLUE. Empirical simulations with various experiment data analysis have demonstrated that the prompted new algorithm can reduce the packet dropping rate, increase bandwidth utilization and stabilize the queue length.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Active Queue Management (AQM) algorithm, as a typical router based congestion control strategy, has been the focus of researchers in the past few years and widely used in congestion control. There are a few drawbacks such as large queuing delay and queue jitter, which cause data retention drop and oscillation. It means that the existing AQM algorithms under high bandwidth can not meet the Quality of Service (QoS) requirements. This paper presents a new algorithm based on the traditional BLUE algorithm and M/M/1/N queuing model which is called QBLUE. Empirical simulations with various experiment data analysis have demonstrated that the prompted new algorithm can reduce the packet dropping rate, increase bandwidth utilization and stabilize the queue length.

Key concepts: Active queue management, Network congestion, Computer science, Router, Jitter, Queueing theory, Queue management system, Quality of service

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