TY  - JOUR
T1  - A Simulation Study of Rate and Queue Based on Active Queue Management
AU - Jafar, Nabil Isaa 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 2
SP  - 116
EP  - 124
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.116.124
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.116.124
KW  - Active queue management
KW  -congestion control
KW  -queue-based
KW  -rate-based
KW  -simulation model
KW  -algorithm management
AB  - Now a days, e-Queues are built up everywhere where customer 
  online-service is necessary such as in banks’ e-Service, enterprises’ e-Business, 
  etc. In order to enhance Active Queue Management (AQM) and Quality of Service 
  (QoS) algorithms are frequently employed due to its efficiency in congestion 
  avoidance as well as the differentiated forwarding of packets. This research 
  aims at developing a novel AQM algorithm to better QoS in terms of congestion 
  prediction, packet loss, queuing delay and link utility, etc. Upon the traditional 
  designs of AQM, this research establishes a new integrated AQM scheme (RQ-AQM) 
  by employing current queue length and input rate to calculate the packet marking/dropping 
  probability. In this way, the feedback rate control enables to respond to congestion 
  rapidly, decreasing the packet loss from buffer overflow. Meanwhile, stabilizing 
  the queue feedback control around a given target to achieving predictable queuing 
  delay and lower delay jitter. Thus, the main feature of the design is to use 
  coefficients of both proportional rate control and proportional integral queue 
  length control. And to simplify parameter setting, the control parameters were 
  scaled by the link capacity C to normalize the rate and by the Bandwidth-Delay 
  Product BDP to normalize the queue length, respectively. The stability performance 
  of RQ-AQM was tested via simulation under several conditions. The results proved 
  that it is able to maintain the queue length around the given target. Also, 
  the comparison results with other AQM schemes including RED, ARED, PI controller, 
  AVQ and REM, demonstrated the superiority of RQ-AQM in low packet loss, faster 
  convergence to target queue length and closest to the target queue length.
ER  -