Title :
QBLUE: A New Congestion Control Algorithm Based on Queuing Theory
Author :
Xunli Fan ; Jie Zhang ; Lin Guan ; Xingang Wang
Author_Institution :
Sch. of Inf. Sci. & Technol., Northwest Univ., Xi´an, China
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.
Keywords :
delays; quality of service; queueing theory; telecommunication congestion control; telecommunication network management; telecommunication network routing; AQM algorithm; M/M/1/N queuing model; QBLUE; QoS requirements; active queue management algorithm; bandwidth utilization enhancement; data analysis; data retention drop; oscillations; packet dropping rate reduction; quality of service requirements; queue jitter; queue length stabilization; queuing delay; queuing theory; router-based congestion control strategy; Algorithm design and analysis; Bandwidth; Delay; Mathematical model; Queueing analysis; Signal processing algorithms; BLUE; Packet dropping rate; Queuing delay; Queuing theory;
Conference_Titel :
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2164-8
DOI :
10.1109/HPCC.2012.184
